{"db_id": "department_management", "question": "How many heads of the departments are older than 56 ?", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "head : age (number) , head_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "department_management", "question": "List the name, born state and age of the heads of departments ordered by age.", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "head : name (text) , born_state (text) , age (number)", "shrink-score": 0.7692307692307693}
{"db_id": "department_management", "question": "List the creation year, name and budget of each department.", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "department : creation (text) , name (text) , budget_in_billions (number)", "shrink-score": 0.7692307692307693}
{"db_id": "department_management", "question": "What are the maximum and minimum budget of the departments?", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "department : budget_in_billions (number)", "shrink-score": 0.9230769230769231}
{"db_id": "department_management", "question": "What is the average number of employees of the departments whose rank is between 10 and 15?", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "department : num_employees (number) , ranking (number)", "shrink-score": 0.8461538461538461}
{"db_id": "department_management", "question": "What are the names of the heads who are born outside the California state?", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "head : name (text) , born_state (text)", "shrink-score": 0.8461538461538461}
{"db_id": "department_management", "question": "What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'?", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "department : creation (text) , department_id (number) | management : department_id (number) , head_id (number) | head : head_id (number) , born_state (text)", "shrink-score": 0.5384615384615384}
{"db_id": "department_management", "question": "What are the names of the states where at least 3 heads were born?", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "head : born_state (text) , head_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "department_management", "question": "In which year were most departments established?", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "department : creation (text) , department_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "department_management", "question": "Show the name and number of employees for the departments managed by heads whose temporary acting value is 'Yes'?", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "department : name (text) , num_employees (number) , department_id (number) | management : department_id (number) , temporary_acting (text)", "shrink-score": 0.6153846153846154}
{"db_id": "department_management", "question": "How many acting statuses are there?", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "management : temporary_acting (text)", "shrink-score": 0.9230769230769231}
{"db_id": "department_management", "question": "How many departments are led by heads who are not mentioned?", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "department : department_id (number) | management : department_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "department_management", "question": "What are the distinct ages of the heads who are acting?", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "head : age (number) , head_id (number) | management : head_id (number) , temporary_acting (text)", "shrink-score": 0.6923076923076923}
{"db_id": "department_management", "question": "List the states where both the secretary of 'Treasury' department and the secretary of 'Homeland Security' were born.", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "head : born_state (text) , head_id (number) , name (text) | department : department_id (number) , name (text) | management : department_id (number) , head_id (number)", "shrink-score": 0.46153846153846156}
{"db_id": "department_management", "question": "Which department has more than 1 head at a time? List the id, name and the number of heads.", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "department : department_id (number) , name (text) | management : department_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "department_management", "question": "Which head's name has the substring 'Ha'? List the id and name.", "schema": "department : department_id (number) , name (text) , creation (text) , ranking (number) , budget_in_billions (number) , num_employees (number) | head : head_id (number) , name (text) , born_state (text) , age (number) | management : department_id (number) , head_id (number) , temporary_acting (text)", "summarized-schema": "head : head_id (number) , name (text)", "shrink-score": 0.8461538461538461}
{"db_id": "farm", "question": "How many farms are there?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm : farm_id (number)", "shrink-score": 0.9583333333333334}
{"db_id": "farm", "question": "Count the number of farms.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm : farm_id (number)", "shrink-score": 0.9583333333333334}
{"db_id": "farm", "question": "List the total number of horses on farms in ascending order.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm : total_horses (number)", "shrink-score": 0.9583333333333334}
{"db_id": "farm", "question": "What is the total horses record for each farm, sorted ascending?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm : total_horses (number)", "shrink-score": 0.9583333333333334}
{"db_id": "farm", "question": "What are the hosts of competitions whose theme is not \"Aliens\"?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm_competition : hosts (text) , theme (text)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "Return the hosts of competitions for which the theme is not Aliens?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm_competition : hosts (text) , theme (text)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "What are the themes of farm competitions sorted by year in ascending order?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm_competition : theme (text) , year (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "Return the themes of farm competitions, sorted by year ascending.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm_competition : theme (text) , year (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "What is the average number of working horses of farms with more than 5000 total number of horses?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm : working_horses (number) , total_horses (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "Give the average number of working horses on farms with more than 5000 total horses.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm : working_horses (number) , total_horses (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "What are the maximum and minimum number of cows across all farms.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm : cows (number)", "shrink-score": 0.9583333333333334}
{"db_id": "farm", "question": "Return the maximum and minimum number of cows across all farms.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm : cows (number)", "shrink-score": 0.9583333333333334}
{"db_id": "farm", "question": "How many different statuses do cities have?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : status (text)", "shrink-score": 0.9583333333333334}
{"db_id": "farm", "question": "Count the number of different statuses.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : status (text)", "shrink-score": 0.9583333333333334}
{"db_id": "farm", "question": "List official names of cities in descending order of population.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : official_name (text) , population (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "What are the official names of cities, ordered descending by population?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : official_name (text) , population (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "List the official name and status of the city with the largest population.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : official_name (text) , status (text) , population (number)", "shrink-score": 0.875}
{"db_id": "farm", "question": "What is the official name and status of the city with the most residents?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : official_name (text) , status (text) , population (number)", "shrink-score": 0.875}
{"db_id": "farm", "question": "Show the years and the official names of the host cities of competitions.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm_competition : year (number) , host_city_id (number) | city : official_name (text) , city_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "farm", "question": "Give the years and official names of the cities of each competition.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm_competition : year (number) , host_city_id (number) | city : official_name (text) , city_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "farm", "question": "Show the official names of the cities that have hosted more than one competition.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : official_name (text) , city_id (number) | farm_competition : host_city_id (number) , competition_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "farm", "question": "What are the official names of cities that have hosted more than one competition?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : official_name (text) , city_id (number) | farm_competition : host_city_id (number) , competition_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "farm", "question": "Show the status of the city that has hosted the greatest number of competitions.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : status (text) , city_id (number) | farm_competition : host_city_id (number) , competition_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "farm", "question": "What is the status of the city that has hosted the most competitions?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : status (text) , city_id (number) | farm_competition : host_city_id (number) , competition_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "farm", "question": "Please show the themes of competitions with host cities having populations larger than 1000.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm_competition : theme (text) , host_city_id (number) | city : city_id (number) , population (number)", "shrink-score": 0.8333333333333334}
{"db_id": "farm", "question": "What are the themes of competitions that have corresponding host cities with more than 1000 residents?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "farm_competition : theme (text) , host_city_id (number) | city : city_id (number) , population (number)", "shrink-score": 0.8333333333333334}
{"db_id": "farm", "question": "Please show the different statuses of cities and the average population of cities with each status.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : status (text) , population (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "What are the statuses and average populations of each city?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : status (text) , population (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "Please show the different statuses, ordered by the number of cities that have each.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : status (text) , city_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "Return the different statuses of cities, ascending by frequency.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : status (text) , city_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "List the most common type of Status across cities.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : status (text) , city_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "What is the most common status across all cities?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : status (text) , city_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "List the official names of cities that have not held any competition.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : official_name (text) , city_id (number) | farm_competition : host_city_id (number)", "shrink-score": 0.875}
{"db_id": "farm", "question": "What are the official names of cities that have not hosted a farm competition?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : official_name (text) , city_id (number) | farm_competition : host_city_id (number)", "shrink-score": 0.875}
{"db_id": "farm", "question": "Show the status shared by cities with population bigger than 1500 and smaller than 500.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : status (text) , population (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "Which statuses correspond to both cities that have a population over 1500 and cities that have a population lower than 500?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : status (text) , population (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "Find the official names of cities with population bigger than 1500 or smaller than 500.", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : official_name (text) , population (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "What are the official names of cities that have population over 1500 or less than 500?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : official_name (text) , population (number)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "Show the census ranking of cities whose status are not \"Village\".", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : census_ranking (text) , status (text)", "shrink-score": 0.9166666666666666}
{"db_id": "farm", "question": "What are the census rankings of cities that do not have the status \"Village\"?", "schema": "city : city_id (number) , official_name (text) , status (text) , area_km_2 (number) , population (number) , census_ranking (text) | farm : farm_id (number) , year (number) , total_horses (number) , working_horses (number) , total_cattle (number) , oxen (number) , bulls (number) , cows (number) , pigs (number) , sheep_and_goats (number) | farm_competition : competition_id (number) , year (number) , theme (text) , host_city_id (number) , hosts (text) | competition_record : competition_id (number) , farm_id (number) , rank (number)", "summarized-schema": "city : census_ranking (text) , status (text)", "shrink-score": 0.9166666666666666}
{"db_id": "student_assessment", "question": "which course has most number of registered students?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "courses : course_name (text) , course_id (text) | student_course_registrations : course_id (number) , student_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "student_assessment", "question": "What is the name of the course with the most registered students?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "courses : course_name (text) , course_id (text) | student_course_registrations : course_id (number) , student_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "student_assessment", "question": "what is id of students who registered some courses but the least number of courses in these students?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_registrations : student_id (number)", "shrink-score": 0.9736842105263158}
{"db_id": "student_assessment", "question": "What are the ids of the students who registered for some courses but had the least number of courses for all students?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_registrations : student_id (number)", "shrink-score": 0.9736842105263158}
{"db_id": "student_assessment", "question": "what are the first name and last name of all candidates?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "people : first_name (text) , last_name (text) , person_id (number) | candidates : candidate_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "student_assessment", "question": "What are the first and last names of all the candidates?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "people : first_name (text) , last_name (text) , person_id (number) | candidates : candidate_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "student_assessment", "question": "List the id of students who never attends courses?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "students : student_id (number) | student_course_attendance : student_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "student_assessment", "question": "What are the  ids of every student who has never attended a course?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "students : student_id (number) | student_course_attendance : student_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "student_assessment", "question": "List the id of students who attended some courses?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_attendance : student_id (number)", "shrink-score": 0.9736842105263158}
{"db_id": "student_assessment", "question": "What are the ids of all students who have attended at least one course?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_attendance : student_id (number)", "shrink-score": 0.9736842105263158}
{"db_id": "student_assessment", "question": "What are the ids of all students for courses and what are the names of those courses?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_registrations : student_id (number) , course_id (number) | courses : course_name (text) , course_id (text)", "shrink-score": 0.8947368421052632}
{"db_id": "student_assessment", "question": "What is detail of the student who most recently registered course?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "students : student_details (text) , student_id (number) | student_course_registrations : student_id (number) , registration_date (time)", "shrink-score": 0.8947368421052632}
{"db_id": "student_assessment", "question": "What details do we have on the students who registered for courses most recently?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "students : student_details (text) , student_id (number) | student_course_registrations : student_id (number) , registration_date (time)", "shrink-score": 0.8947368421052632}
{"db_id": "student_assessment", "question": "How many students attend course English?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "courses : course_id (text) , course_name (text) | student_course_attendance : course_id (number) , student_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "student_assessment", "question": "How many students are attending English courses?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "courses : course_id (text) , course_name (text) | student_course_attendance : course_id (number) , student_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "student_assessment", "question": "How many courses do the student whose id is 171 attend?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "courses : course_id (text) | student_course_attendance : course_id (number) , student_id (number)", "shrink-score": 0.9210526315789473}
{"db_id": "student_assessment", "question": "How many courses does the student with id 171 actually attend?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "courses : course_id (text) | student_course_attendance : course_id (number) , student_id (number)", "shrink-score": 0.9210526315789473}
{"db_id": "student_assessment", "question": "Find id of the candidate whose email is stanley.monahan@example.org?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "candidates : candidate_id (number) | people : person_id (number) , email_address (text)", "shrink-score": 0.9210526315789473}
{"db_id": "student_assessment", "question": "What is the id of the candidate whose email is stanley.monahan@example.org?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "candidates : candidate_id (number) | people : person_id (number) , email_address (text)", "shrink-score": 0.9210526315789473}
{"db_id": "student_assessment", "question": "Find id of the candidate who most recently accessed the course?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "candidate_assessments : candidate_id (number) , assessment_date (time)", "shrink-score": 0.9473684210526315}
{"db_id": "student_assessment", "question": "What is the id of the candidate who most recently accessed the course?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "candidate_assessments : candidate_id (number) , assessment_date (time)", "shrink-score": 0.9473684210526315}
{"db_id": "student_assessment", "question": "What is detail of the student who registered the most number of courses?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "students : student_details (text) , student_id (number) | student_course_registrations : student_id (number)", "shrink-score": 0.9210526315789473}
{"db_id": "student_assessment", "question": "What are the details of the student who registered for the most number of courses?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "students : student_details (text) , student_id (number) | student_course_registrations : student_id (number)", "shrink-score": 0.9210526315789473}
{"db_id": "student_assessment", "question": "List the id of students who registered some courses and the number of their registered courses?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "students : student_id (number) | student_course_registrations : student_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "student_assessment", "question": "For every student who is registered for some course, how many courses are they registered for?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "students : student_id (number) | student_course_registrations : student_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "student_assessment", "question": "How many registed students do each course have? List course name and the number of their registered students?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "courses : course_name (text) , course_id (text) | students : student_id (number) | student_course_registrations : student_id (number) , course_id (number)", "shrink-score": 0.868421052631579}
{"db_id": "student_assessment", "question": "For each course id, how many students are registered and what are the course names?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "courses : course_name (text) , course_id (text) | students : student_id (number) | student_course_registrations : student_id (number) , course_id (number)", "shrink-score": 0.868421052631579}
{"db_id": "student_assessment", "question": "Find id of candidates whose assessment code is \"Pass\"?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "candidate_assessments : candidate_id (number) , asessment_outcome_code (text)", "shrink-score": 0.9473684210526315}
{"db_id": "student_assessment", "question": "What are the ids of the candidates that have an outcome code of Pass?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "candidate_assessments : candidate_id (number) , asessment_outcome_code (text)", "shrink-score": 0.9473684210526315}
{"db_id": "student_assessment", "question": "Find the cell mobile number of the candidates whose assessment code is \"Fail\"?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "people : cell_mobile_number (text) , person_id (number) | candidates : candidate_id (number) | candidate_assessments : candidate_id (number) , asessment_outcome_code (text)", "shrink-score": 0.868421052631579}
{"db_id": "student_assessment", "question": "What are the cell phone numbers of the candidates that received an assessment code of \"Fail\"?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "people : cell_mobile_number (text) , person_id (number) | candidates : candidate_id (number) | candidate_assessments : candidate_id (number) , asessment_outcome_code (text)", "shrink-score": 0.868421052631579}
{"db_id": "student_assessment", "question": "What are the id of students who registered course 301?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_attendance : student_id (number) , course_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "student_assessment", "question": "What are the ids of the students who registered for course 301?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_attendance : student_id (number) , course_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "student_assessment", "question": "What is the id of the student who most recently registered course 301?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time)", "shrink-score": 0.9210526315789473}
{"db_id": "student_assessment", "question": "What are the ids of the students who registered for course 301 most recently?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time)", "shrink-score": 0.9210526315789473}
{"db_id": "student_assessment", "question": "Find distinct cities of addresses of people?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "addresses : city (text) , address_id (number) | people_addresses : address_id (number)", "shrink-score": 0.9210526315789473}
{"db_id": "student_assessment", "question": "What are the different cities where people live?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "addresses : city (text) , address_id (number) | people_addresses : address_id (number)", "shrink-score": 0.9210526315789473}
{"db_id": "student_assessment", "question": "Find distinct cities of address of students?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "addresses : city (text) , address_id (number) | people_addresses : address_id (number) , person_id (number) | students : student_id (number)", "shrink-score": 0.868421052631579}
{"db_id": "student_assessment", "question": "What are the different cities where students live?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "addresses : city (text) , address_id (number) | people_addresses : address_id (number) , person_id (number) | students : student_id (number)", "shrink-score": 0.868421052631579}
{"db_id": "student_assessment", "question": "List the names of courses in alphabetical order?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "courses : course_name (text)", "shrink-score": 0.9736842105263158}
{"db_id": "student_assessment", "question": "What are the names of the courses in alphabetical order?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "courses : course_name (text)", "shrink-score": 0.9736842105263158}
{"db_id": "student_assessment", "question": "List the first names of people in alphabetical order?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "people : first_name (text)", "shrink-score": 0.9736842105263158}
{"db_id": "student_assessment", "question": "What are the first names of the people in alphabetical order?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "people : first_name (text)", "shrink-score": 0.9736842105263158}
{"db_id": "student_assessment", "question": "What are the id of students who registered courses or attended courses?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_registrations : student_id (number) | student_course_attendance : student_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "student_assessment", "question": "What are the ids of the students who either registered or attended a course?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_registrations : student_id (number) | student_course_attendance : student_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "student_assessment", "question": "Find the id of courses which are registered or attended by student whose id is 121?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_registrations : course_id (number) , student_id (number) | student_course_attendance : course_id (number) , student_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "student_assessment", "question": "What are the ids of the courses that are registered or attended by the student whose id is 121?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_registrations : course_id (number) , student_id (number) | student_course_attendance : course_id (number) , student_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "student_assessment", "question": "What are all info of students who registered courses but not attended courses?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_registrations : student_id (number) | student_course_attendance : student_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "student_assessment", "question": "What are all details of the students who registered but did not attend any course?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_registrations : student_id (number) | student_course_attendance : student_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "student_assessment", "question": "List the id of students who registered course statistics in the order of registration date.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | courses : course_id (text) , course_name (text)", "shrink-score": 0.868421052631579}
{"db_id": "student_assessment", "question": "What are the ids of the students who registered course statistics by order of registration date?", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | courses : course_id (text) , course_name (text)", "shrink-score": 0.868421052631579}
{"db_id": "student_assessment", "question": "List the id of students who attended  statistics courses in the order of attendance date.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | courses : course_id (text) , course_name (text)", "shrink-score": 0.868421052631579}
{"db_id": "student_assessment", "question": "What are the ids of the students who attended courses in the statistics department in order of attendance date.", "schema": "addresses : address_id (number) , line_1 (text) , line_2 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | people : person_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , login_name (text) , password (text) | students : student_id (number) , student_details (text) | courses : course_id (text) , course_name (text) , course_description (text) , other_details (text) | people_addresses : person_address_id (number) , person_id (number) , address_id (number) , date_from (time) , date_to (time) | student_course_registrations : student_id (number) , course_id (number) , registration_date (time) | student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | candidates : candidate_id (number) , candidate_details (text) | candidate_assessments : candidate_id (number) , qualification (text) , assessment_date (time) , asessment_outcome_code (text)", "summarized-schema": "student_course_attendance : student_id (number) , course_id (number) , date_of_attendance (time) | courses : course_id (text) , course_name (text)", "shrink-score": 0.868421052631579}
{"db_id": "bike_1", "question": "Give me the dates when the max temperature was higher than 85.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , max_temperature_f (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What are the dates with a maximum temperature higher than 85?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , max_temperature_f (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What are the names of stations that have latitude lower than 37.5?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , lat (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What are the names of all stations with a latitude smaller than 37.5?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , lat (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "For each city, return the highest latitude among its stations.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : city (text) , lat (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "For each city, what is the highest latitude for its stations?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : city (text) , lat (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "Give me the start station and end station for the trips with the three oldest id.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : start_station_name (text) , end_station_name (text) , id (number)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "What is the station station and end station for the trips with the three smallest ids?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : start_station_name (text) , end_station_name (text) , id (number)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "What is the average latitude and longitude of stations located in San Jose city?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : lat (number) , long (number) , city (text)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "What is the average latitude and longitude in San Jose?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : lat (number) , long (number) , city (text)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "What is the id of the trip that has the shortest duration?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : id (number) , duration (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What is the id of the shortest trip?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : id (number) , duration (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What is the total and maximum duration of trips with bike id 636?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : duration (number) , bike_id (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What is the total and maximum duration for all trips with the bike id 636?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : duration (number) , bike_id (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "For each zip code, return the average mean temperature of August there.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : zip_code (number) , mean_temperature_f (number) , date (text)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "For each zip code, what is the average mean temperature for all dates that start with '8'?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : zip_code (number) , mean_temperature_f (number) , date (text)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "From the trip record, find the number of unique bikes.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : bike_id (number)", "shrink-score": 0.9782608695652174}
{"db_id": "bike_1", "question": "How many different bike ids are there?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : bike_id (number)", "shrink-score": 0.9782608695652174}
{"db_id": "bike_1", "question": "What is the number of distinct cities the stations are located at?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : city (text)", "shrink-score": 0.9782608695652174}
{"db_id": "bike_1", "question": "How many different cities have these stations?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : city (text)", "shrink-score": 0.9782608695652174}
{"db_id": "bike_1", "question": "How many stations does Mountain View city has?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : city (text) , id (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "How many stations are in Mountain View?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : city (text) , id (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "Return the unique name for stations that have ever had 7 bikes available.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , id (number) | status : station_id (number) , bikes_available (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "What are the different names for each station that has ever had 7 bikes available?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , id (number) | status : station_id (number) , bikes_available (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "Which start station had the most trips starting from August? Give me the name and id of the station.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : start_station_name (text) , start_station_id (number) , start_date (text) , id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "What are the start station's name and id for the one that had the most start trips in August?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : start_station_name (text) , start_station_id (number) , start_date (text) , id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "Which bike traveled the most often in zip code 94002?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : bike_id (number) , zip_code (number) , id (number)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "What is the id of the bike that traveled the most in 94002?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : bike_id (number) , zip_code (number) , id (number)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "How many days had both mean humidity above 50 and mean visibility above 8?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : mean_humidity (number) , mean_visibility_miles (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What is the number of days that had an average humity above 50 and an average visibility above 8?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : mean_humidity (number) , mean_visibility_miles (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What is the latitude, longitude, city of the station from which the shortest trip started?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : lat (number) , long (number) , city (text) , id (number) | trip : id (number) , start_station_id (number) , duration (number)", "shrink-score": 0.8478260869565217}
{"db_id": "bike_1", "question": "What is the latitude, longitude, and city of the station from which the trip with smallest duration started?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : lat (number) , long (number) , city (text) , id (number) | trip : id (number) , start_station_id (number) , duration (number)", "shrink-score": 0.8478260869565217}
{"db_id": "bike_1", "question": "What are the ids of stations that are located in San Francisco and have average bike availability above 10.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : id (number) , city (text) | status : station_id (number) , bikes_available (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "What are the ids of the stations in San Francisco that normally have more than 10 bikes available?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : id (number) , city (text) | status : station_id (number) , bikes_available (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "What are the names and ids of stations that had more than 14 bikes available on average or were installed in December?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , id (number) , installation_date (text) | status : station_id (number) , bikes_available (number)", "shrink-score": 0.8913043478260869}
{"db_id": "bike_1", "question": "What are the names and ids of all stations that have more than 14 bikes available on average or had bikes installed in December?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , id (number) , installation_date (text) | status : station_id (number) , bikes_available (number)", "shrink-score": 0.8913043478260869}
{"db_id": "bike_1", "question": "What is the 3 most common cloud cover rates in the region of zip code 94107?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : cloud_cover (number) , zip_code (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What are the 3 most common cloud covers in the zip code of 94107?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : cloud_cover (number) , zip_code (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What is the zip code in which the average mean sea level pressure is the lowest?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : zip_code (number) , mean_sea_level_pressure_inches (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What is the zip code that has the lowest average mean sea level pressure?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : zip_code (number) , mean_sea_level_pressure_inches (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What is the average bike availability in stations that are not located in Palo Alto?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "status : bikes_available (number) , station_id (number) | station : id (number) , city (text)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "What is the average bike availablility for stations not in Palo Alto?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "status : bikes_available (number) , station_id (number) | station : id (number) , city (text)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "What is the average longitude of stations that never had bike availability more than 10?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : long (number) , id (number) | status : station_id (number) , bikes_available (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "What is the mean longitude for all stations that have never had more than 10 bikes available?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : long (number) , id (number) | status : station_id (number) , bikes_available (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "When and in what zip code did max temperature reach 80?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , zip_code (number) , max_temperature_f (number)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "What zip codes have a station with a max temperature greater than or equal to 80 and when did it reach that temperature?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , zip_code (number) , max_temperature_f (number)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "Give me ids for all the trip that took place in a zip code area with average mean temperature above 60.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : id (number) , zip_code (number) | weather : zip_code (number) , mean_temperature_f (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "For each zip code, find the ids of all trips that have a higher average mean temperature above 60?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : id (number) , zip_code (number) | weather : zip_code (number) , mean_temperature_f (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "For each zip code, return how many times max wind speed reached 25?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : zip_code (number) , max_wind_speed_mph (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "For each zip code, how many times has the maximum wind speed reached 25 mph?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : zip_code (number) , max_wind_speed_mph (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "On which day and in which zip code was the min dew point lower than any day in zip code 94107?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , zip_code (number) , min_dew_point_f (number)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "Which days had a minimum dew point smaller than any day in zip code 94107, and in which zip codes were those measurements taken?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , zip_code (number) , min_dew_point_f (number)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "For each trip, return its ending station's installation date.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : id (number) , installation_date (text) | trip : id (number) , end_station_id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "What is the installation date for each ending station on all the trips?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : id (number) , installation_date (text) | trip : id (number) , end_station_id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "Which trip started from the station with the largest dock count? Give me the trip id.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : id (number) , dock_count (number) | trip : id (number) , start_station_id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "What is the id of the trip that started from the station with the highest dock count?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : id (number) , dock_count (number) | trip : id (number) , start_station_id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "Count the number of trips that did not end in San Francisco city.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : end_station_id (number) , id (number) | station : id (number) , city (text)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "How many trips did not end in San Francisco?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : end_station_id (number) , id (number) | station : id (number) , city (text)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "In zip code 94107, on which day neither Fog nor Rain was not observed?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , zip_code (number) , events (text)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "On which day has it neither been foggy nor rained in the zip code of 94107?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , zip_code (number) , events (text)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "What are the ids of stations that have latitude above 37.4 and never had bike availability below 7?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : id (number) , lat (number) | status : station_id (number) , bikes_available (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "What are the ids of all stations that have a latitude above 37.4 and have never had less than 7 bikes available?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : id (number) , lat (number) | status : station_id (number) , bikes_available (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "What are names of stations that have average bike availability above 10 and are not located in San Jose city?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , id (number) , city (text) | status : station_id (number) , bikes_available (number)", "shrink-score": 0.8913043478260869}
{"db_id": "bike_1", "question": "What are the names of all stations that have more than 10 bikes available and are not located in San Jose?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , id (number) , city (text) | status : station_id (number) , bikes_available (number)", "shrink-score": 0.8913043478260869}
{"db_id": "bike_1", "question": "What are the name, latitude, and city of the station with the lowest latitude?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , lat (number) , city (text)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "What is the name, latitude, and city of the station that is located the furthest South?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , lat (number) , city (text)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "What are the date, mean temperature and mean humidity for the top 3 days with the largest max gust speeds?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , mean_temperature_f (number) , mean_humidity (number) , max_gust_speed_mph (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "What is the date, average temperature and mean humidity for the days with the 3 largest maximum gust speeds?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , mean_temperature_f (number) , mean_humidity (number) , max_gust_speed_mph (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "List the name and the number of stations for all the cities that have at least 15 stations.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : city (text) , id (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What is the name of every city that has at least 15 stations and how many stations does it have?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : city (text) , id (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "Find the ids and names of stations from which at least 200 trips started.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : start_station_id (number) , start_station_name (text) , id (number)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "What are the ids and names of all start stations that were the beginning of at least 200 trips?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : start_station_id (number) , start_station_name (text) , id (number)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "Find the zip code in which the average mean visibility is lower than 10.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : zip_code (number) , mean_visibility_miles (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "For each zip code, select all those that have an average mean visiblity below 10.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : zip_code (number) , mean_visibility_miles (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "List all the cities in a decreasing order of each city's stations' highest latitude.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : city (text) , lat (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "For each city, list their names in decreasing order by their highest station latitude.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : city (text) , lat (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What are the dates that had the top 5 cloud cover rates? Also tell me the cloud cover rate.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , cloud_cover (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What are the dates that have the 5 highest cloud cover rates and what are the rates?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , cloud_cover (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What are the ids and durations of the trips with the top 3 durations?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : id (number) , duration (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What are the ids of the trips that lasted the longest and how long did they last?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : id (number) , duration (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "For each station, return its longitude and the average duration of trips that started from the station.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , long (number) , id (number) | trip : duration (number) , id (number) , start_station_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "bike_1", "question": "For each start station id, what is its name, longitude and average duration of trips started there?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , long (number) , id (number) | trip : duration (number) , id (number) , start_station_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "bike_1", "question": "For each station, find its latitude and the minimum duration of trips that ended at the station.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , lat (number) , id (number) | trip : duration (number) , id (number) , end_station_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "bike_1", "question": "For each end station id, what is its name, latitude, and minimum duration for trips ended there?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , lat (number) , id (number) | trip : duration (number) , id (number) , end_station_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "bike_1", "question": "List all the distinct stations from which a trip of duration below 100 started.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : start_station_name (text) , duration (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What are all the different start station names for a trip that lasted less than 100?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : start_station_name (text) , duration (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "Find all the zip codes in which the max dew point have never reached 70.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : zip_code (number) , max_dew_point_f (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What are all the different zip codes that have a maximum dew point that was always below 70?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : zip_code (number) , max_dew_point_f (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "Find the id for the trips that lasted at least as long as the average duration of trips in zip code 94103.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : id (number) , duration (number) , zip_code (number)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "What are the ids of all trips that had a duration as long as the average trip duration in the zip code 94103?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : id (number) , duration (number) , zip_code (number)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "What are the dates in which the mean sea level pressure was between 30.3 and 31?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , mean_sea_level_pressure_inches (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "What are the dates that have an average sea level pressure between 30.3 and 31?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , mean_sea_level_pressure_inches (number)", "shrink-score": 0.9565217391304348}
{"db_id": "bike_1", "question": "Find the day in which the difference between the max temperature and min temperature was the smallest. Also report the difference.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , max_temperature_f (number) , min_temperature_f (number)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "What are the days that had the smallest temperature range, and what was that range?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "weather : date (text) , max_temperature_f (number) , min_temperature_f (number)", "shrink-score": 0.9347826086956522}
{"db_id": "bike_1", "question": "What are the id and name of the stations that have ever had more than 12 bikes available?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : id (number) , name (text) | status : station_id (number) , bikes_available (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "What are the different ids and names of the stations that have had more than 12 bikes available?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : id (number) , name (text) | status : station_id (number) , bikes_available (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "Give me the zip code where the average mean humidity is below 70 and at least 100 trips took place.", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : zip_code (number) , id (number) | weather : zip_code (number) , mean_humidity (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "What are the zip codes that have an average mean humidity below 70 and had at least 100 trips come through there?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "trip : zip_code (number) , id (number) | weather : zip_code (number) , mean_humidity (number)", "shrink-score": 0.9130434782608695}
{"db_id": "bike_1", "question": "What are the names of stations that are located in Palo Alto city but have never been the ending point of trips more than 100 times?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , city (text) , id (number) | trip : end_station_name (text) , id (number)", "shrink-score": 0.8913043478260869}
{"db_id": "bike_1", "question": "What are the names of the stations that are located in Palo Alto but have never been the ending point of the trips", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : name (text) , city (text) , id (number) | trip : end_station_name (text) , id (number)", "shrink-score": 0.8913043478260869}
{"db_id": "bike_1", "question": "How many trips started from Mountain View city and ended at Palo Alto city?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : id (number) , city (text) | trip : id (number) , start_station_id (number) , end_station_id (number)", "shrink-score": 0.8913043478260869}
{"db_id": "bike_1", "question": "How many trips stated from  a station in Mountain View and ended at one in Palo Alto?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : id (number) , city (text) | trip : id (number) , start_station_id (number) , end_station_id (number)", "shrink-score": 0.8913043478260869}
{"db_id": "bike_1", "question": "What is the average latitude and longitude of the starting points of all trips?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : lat (number) , long (number) , id (number) | trip : id (number) , start_station_id (number)", "shrink-score": 0.8913043478260869}
{"db_id": "bike_1", "question": "What is the average latitude and longitude of all starting stations for the trips?", "schema": "station : id (number) , name (text) , lat (number) , long (number) , dock_count (number) , city (text) , installation_date (text) | status : station_id (number) , bikes_available (number) , docks_available (number) , time (text) | trip : id (number) , duration (number) , start_date (text) , start_station_name (text) , start_station_id (number) , end_date (text) , end_station_name (text) , end_station_id (number) , bike_id (number) , subscription_type (text) , zip_code (number) | weather : date (text) , max_temperature_f (number) , mean_temperature_f (number) , min_temperature_f (number) , max_dew_point_f (number) , mean_dew_point_f (number) , min_dew_point_f (number) , max_humidity (number) , mean_humidity (number) , min_humidity (number) , max_sea_level_pressure_inches (number) , mean_sea_level_pressure_inches (number) , min_sea_level_pressure_inches (number) , max_visibility_miles (number) , mean_visibility_miles (number) , min_visibility_miles (number) , max_wind_speed_mph (number) , mean_wind_speed_mph (number) , max_gust_speed_mph (number) , precipitation_inches (number) , cloud_cover (number) , events (text) , wind_dir_degrees (number) , zip_code (number)", "summarized-schema": "station : lat (number) , long (number) , id (number) | trip : id (number) , start_station_id (number)", "shrink-score": 0.8913043478260869}
{"db_id": "book_2", "question": "How many books are there?", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "book : book_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "book_2", "question": "List the writers of the books in ascending alphabetical order.", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "book : writer (text)", "shrink-score": 0.8888888888888888}
{"db_id": "book_2", "question": "List the titles of the books in ascending order of issues.", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "book : title (text) , issues (number)", "shrink-score": 0.7777777777777778}
{"db_id": "book_2", "question": "What are the titles of the books whose writer is not \"Elaine Lee\"?", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "book : title (text) , writer (text)", "shrink-score": 0.7777777777777778}
{"db_id": "book_2", "question": "What are the title and issues of the books?", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "book : title (text) , issues (number)", "shrink-score": 0.7777777777777778}
{"db_id": "book_2", "question": "What are the dates of publications in descending order of price?", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "publication : publication_date (text) , price (number)", "shrink-score": 0.7777777777777778}
{"db_id": "book_2", "question": "What are the distinct publishers of publications with price higher than 5000000?", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "publication : publisher (text) , price (number)", "shrink-score": 0.7777777777777778}
{"db_id": "book_2", "question": "List the publisher of the publication with the highest price.", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "publication : publisher (text) , price (number)", "shrink-score": 0.7777777777777778}
{"db_id": "book_2", "question": "List the publication dates of publications with 3 lowest prices.", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "publication : publication_date (text) , price (number)", "shrink-score": 0.7777777777777778}
{"db_id": "book_2", "question": "Show the title and publication dates of books.", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "book : title (text) , book_id (number) | publication : publication_date (text) , book_id (number)", "shrink-score": 0.5555555555555556}
{"db_id": "book_2", "question": "Show writers who have published a book with price more than 4000000.", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "book : writer (text) , book_id (number) | publication : book_id (number) , price (number)", "shrink-score": 0.5555555555555556}
{"db_id": "book_2", "question": "Show the titles of books in descending order of publication price.", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "book : title (text) , book_id (number) | publication : book_id (number) , price (number)", "shrink-score": 0.5555555555555556}
{"db_id": "book_2", "question": "Show publishers that have more than one publication.", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "publication : publisher (text) , publication_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "book_2", "question": "Show different publishers together with the number of publications they have.", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "publication : publisher (text) , publication_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "book_2", "question": "Please show the most common publication date.", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "publication : publication_date (text) , publication_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "book_2", "question": "List the writers who have written more than one book.", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "book : writer (text) , book_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "book_2", "question": "List the titles of books that are not published.", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "book : title (text) , book_id (number) | publication : book_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "book_2", "question": "Show the publishers that have publications with price higher than 10000000 and publications with price lower than 5000000.", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "publication : publisher (text) , price (number)", "shrink-score": 0.7777777777777778}
{"db_id": "book_2", "question": "What is the number of distinct publication dates?", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "publication : publication_date (text)", "shrink-score": 0.8888888888888888}
{"db_id": "book_2", "question": "How many distinct publication dates are there in our record?", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "publication : publication_date (text)", "shrink-score": 0.8888888888888888}
{"db_id": "book_2", "question": "Show the prices of publications whose publisher is either \"Person\" or \"Wiley\"", "schema": "publication : publication_id (number) , book_id (number) , publisher (text) , publication_date (text) , price (number) | book : book_id (number) , title (text) , issues (number) , writer (text)", "summarized-schema": "publication : price (number) , publisher (text)", "shrink-score": 0.7777777777777778}
{"db_id": "musical", "question": "How many actors are there?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "actor : actor_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "musical", "question": "Count the number of actors.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "actor : actor_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "musical", "question": "List the name of actors in ascending alphabetical order.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "actor : name (text)", "shrink-score": 0.9230769230769231}
{"db_id": "musical", "question": "What are the names of actors, ordered alphabetically?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "actor : name (text)", "shrink-score": 0.9230769230769231}
{"db_id": "musical", "question": "What are the characters and duration of actors?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "actor : character (text) , duration (text)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "Return the characters and durations for each actor.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "actor : character (text) , duration (text)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "List the name of actors whose age is not 20.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "actor : name (text) , age (number)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "What are the names of actors who are not 20 years old?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "actor : name (text) , age (number)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "What are the characters of actors in descending order of age?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "actor : character (text) , age (number)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "Return the characters for actors, ordered by age descending.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "actor : character (text) , age (number)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "What is the duration of the oldest actor?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "actor : duration (text) , age (number)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "Return the duration of the actor with the greatest age.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "actor : duration (text) , age (number)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "What are the names of musicals with nominee \"Bob Fosse\"?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : name (text) , nominee (text)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "Return the names of musicals who have the nominee Bob Fosse.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : name (text) , nominee (text)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "What are the distinct nominees of the musicals with the award that is not \"Tony Award\"?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : nominee (text) , award (text)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "Return the different nominees of musicals that have an award that is not the Tony Award.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : nominee (text) , award (text)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "Show names of actors and names of musicals they are in.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : name (text) , musical_id (number) | actor : name (text) , musical_id (number)", "shrink-score": 0.6923076923076923}
{"db_id": "musical", "question": "What are the names of actors and the musicals that they are in?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : name (text) , musical_id (number) | actor : name (text) , musical_id (number)", "shrink-score": 0.6923076923076923}
{"db_id": "musical", "question": "Show names of actors that have appeared in musical with name \"The Phantom of the Opera\".", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : name (text) , musical_id (number) | actor : name (text) , musical_id (number)", "shrink-score": 0.6923076923076923}
{"db_id": "musical", "question": "What are the names of actors who have been in the musical titled The Phantom of the Opera?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : name (text) , musical_id (number) | actor : name (text) , musical_id (number)", "shrink-score": 0.6923076923076923}
{"db_id": "musical", "question": "Show names of actors in descending order of the year their musical is awarded.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : name (text) , musical_id (number) , year (number) | actor : name (text) , musical_id (number)", "shrink-score": 0.6153846153846154}
{"db_id": "musical", "question": "What are the names of actors ordered descending by the year in which their musical was awarded?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : name (text) , musical_id (number) , year (number) | actor : name (text) , musical_id (number)", "shrink-score": 0.6153846153846154}
{"db_id": "musical", "question": "Show names of musicals and the number of actors who have appeared in the musicals.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : name (text) , musical_id (number) | actor : name (text) , musical_id (number) , actor_id (number)", "shrink-score": 0.6153846153846154}
{"db_id": "musical", "question": "How many actors have appeared in each musical?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : name (text) , musical_id (number) | actor : name (text) , musical_id (number) , actor_id (number)", "shrink-score": 0.6153846153846154}
{"db_id": "musical", "question": "Show names of musicals which have at least three actors.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : name (text) , musical_id (number) | actor : name (text) , musical_id (number) , actor_id (number)", "shrink-score": 0.6153846153846154}
{"db_id": "musical", "question": "What are the names of musicals who have at 3 or more actors?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : name (text) , musical_id (number) | actor : name (text) , musical_id (number) , actor_id (number)", "shrink-score": 0.6153846153846154}
{"db_id": "musical", "question": "Show different nominees and the number of musicals they have been nominated.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : nominee (text) , musical_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "How many musicals has each nominee been nominated for?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : nominee (text) , musical_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "Please show the nominee who has been nominated the greatest number of times.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : nominee (text) , musical_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "Who is the nominee who has been nominated for the most musicals?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : nominee (text) , musical_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "List the most common result of the musicals.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : result (text) , musical_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "Return the most frequent result across all musicals.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : result (text) , musical_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "List the nominees that have been nominated more than two musicals.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : nominee (text) , musical_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "Who are the nominees who have been nominated more than two times?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : nominee (text) , musical_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "List the name of musicals that do not have actors.", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : name (text) , musical_id (number) | actor : name (text) , musical_id (number)", "shrink-score": 0.6923076923076923}
{"db_id": "musical", "question": "What are the names of musicals who have no actors?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : name (text) , musical_id (number) | actor : name (text) , musical_id (number)", "shrink-score": 0.6923076923076923}
{"db_id": "musical", "question": "Show the nominees that have nominated musicals for both \"Tony Award\" and \"Drama Desk Award\".", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : nominee (text) , award (text)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "Who are the nominees who have been nominated for both a Tony Award and a Drama Desk Award?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : nominee (text) , award (text)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "Show the musical nominee with award \"Bob Fosse\" or \"Cleavant Derricks\".", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : nominee (text) , award (text)", "shrink-score": 0.8461538461538461}
{"db_id": "musical", "question": "Who are the nominees who were nominated for either of the Bob Fosse or Cleavant Derricks awards?", "schema": "musical : musical_id (number) , name (text) , year (number) , award (text) , category (text) , nominee (text) , result (text) | actor : actor_id (number) , name (text) , musical_id (number) , character (text) , duration (text) , age (number)", "summarized-schema": "musical : nominee (text) , award (text)", "shrink-score": 0.8461538461538461}
{"db_id": "twitter_1", "question": "Find the emails of the user named \"Mary\".", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : email (text) , name (text)", "shrink-score": 0.8181818181818182}
{"db_id": "twitter_1", "question": "What is the partition id of the user named \"Iron Man\".", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : partitionid (number) , name (text)", "shrink-score": 0.8181818181818182}
{"db_id": "twitter_1", "question": "How many users are there?", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : uid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "twitter_1", "question": "How many followers does each user have?", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "follows : f1 (number)", "shrink-score": 0.9090909090909091}
{"db_id": "twitter_1", "question": "Find the number of followers for each user.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "follows : f1 (number)", "shrink-score": 0.9090909090909091}
{"db_id": "twitter_1", "question": "Find the number of tweets in record.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "tweets : id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "twitter_1", "question": "Find the number of users who posted some tweets.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "tweets : uid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "twitter_1", "question": "Find the name and email of the user whose name contains the word \u2018Swift\u2019.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : name (text) , email (text)", "shrink-score": 0.8181818181818182}
{"db_id": "twitter_1", "question": "Find the names of users whose emails contain \u2018superstar\u2019 or \u2018edu\u2019.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : name (text) , email (text)", "shrink-score": 0.8181818181818182}
{"db_id": "twitter_1", "question": "Return the text of tweets about the topic 'intern'.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "tweets : text (text)", "shrink-score": 0.9090909090909091}
{"db_id": "twitter_1", "question": "Find the name and email of the users who have more than 1000 followers.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : name (text) , email (text) , followers (number)", "shrink-score": 0.7272727272727273}
{"db_id": "twitter_1", "question": "Find the names of the users whose number of followers is greater than that of the user named \"Tyler Swift\".", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : name (text) , uid (number) | follows : f1 (number)", "shrink-score": 0.7272727272727273}
{"db_id": "twitter_1", "question": "Find the name and email for the users who have more than one follower.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : name (text) , email (text) , uid (number) | follows : f1 (number)", "shrink-score": 0.6363636363636364}
{"db_id": "twitter_1", "question": "Find the names of users who have more than one tweet.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : name (text) , uid (number) | tweets : uid (number) , id (number)", "shrink-score": 0.6363636363636364}
{"db_id": "twitter_1", "question": "Find the id of users who are followed by Mary and Susan.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "follows : f1 (number) , f2 (number) | user_profiles : uid (number) , name (text)", "shrink-score": 0.6363636363636364}
{"db_id": "twitter_1", "question": "Find the id of users who are followed by Mary or Susan.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "follows : f1 (number) , f2 (number) | user_profiles : uid (number) , name (text)", "shrink-score": 0.6363636363636364}
{"db_id": "twitter_1", "question": "Find the name of the user who has the largest number of followers.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : name (text) , followers (number)", "shrink-score": 0.8181818181818182}
{"db_id": "twitter_1", "question": "Find the name and email of the user followed by the least number of people.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : name (text) , email (text) , followers (number)", "shrink-score": 0.7272727272727273}
{"db_id": "twitter_1", "question": "List the name and number of followers for each user, and sort the results by the number of followers in descending order.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : name (text) , followers (number)", "shrink-score": 0.8181818181818182}
{"db_id": "twitter_1", "question": "List the names of 5 users followed by the largest number of other users.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : name (text) , followers (number)", "shrink-score": 0.8181818181818182}
{"db_id": "twitter_1", "question": "List the text of all tweets in the order of date.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "tweets : text (text) , createdate (time)", "shrink-score": 0.8181818181818182}
{"db_id": "twitter_1", "question": "Find the name of each user and number of tweets tweeted by each of them.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : name (text) , uid (number) | tweets : uid (number) , id (number)", "shrink-score": 0.6363636363636364}
{"db_id": "twitter_1", "question": "Find the name and partition id for users who tweeted less than twice.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : name (text) , partitionid (number) , uid (number) | tweets : uid (number) , id (number)", "shrink-score": 0.5454545454545454}
{"db_id": "twitter_1", "question": "Find the name of the user who tweeted more than once, and number of tweets tweeted by them.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : name (text) , uid (number) | tweets : uid (number) , id (number)", "shrink-score": 0.6363636363636364}
{"db_id": "twitter_1", "question": "Find the average number of followers for the users who do not have any tweet.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : followers (number) , uid (number) | tweets : uid (number)", "shrink-score": 0.7272727272727273}
{"db_id": "twitter_1", "question": "Find the average number of followers for the users who had some tweets.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : followers (number) , uid (number) | tweets : uid (number)", "shrink-score": 0.7272727272727273}
{"db_id": "twitter_1", "question": "Find the maximum and total number of followers of all users.", "schema": "follows : f1 (number) , f2 (number) | tweets : id (number) , uid (number) , text (text) , createdate (time) | user_profiles : uid (number) , name (text) , email (text) , partitionid (number) , followers (number)", "summarized-schema": "user_profiles : followers (number)", "shrink-score": 0.9090909090909091}
{"db_id": "product_catalog", "question": "Find the names of all the catalog entries.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text)", "shrink-score": 0.9655172413793104}
{"db_id": "product_catalog", "question": "What are all the catalog entry names?", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text)", "shrink-score": 0.9655172413793104}
{"db_id": "product_catalog", "question": "Find the list of attribute data types possessed by more than 3 attribute definitions.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "attribute_definitions : attribute_data_type (text) , attribute_id (number)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "What are the attribute data types with more than 3 attribute definitions?", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "attribute_definitions : attribute_data_type (text) , attribute_id (number)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "What is the attribute data type of the attribute with name \"Green\"?", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "attribute_definitions : attribute_data_type (text) , attribute_name (text)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "Find the attribute data type for the attribute named \"Green\".", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "attribute_definitions : attribute_data_type (text) , attribute_name (text)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "Find the name and level of catalog structure with level between 5 and 10.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_structure : catalog_level_name (text) , catalog_level_number (number)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "What are the name and level of catalog structure with level number between 5 and 10", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_structure : catalog_level_name (text) , catalog_level_number (number)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "Find all the catalog publishers whose name contains \"Murray\"", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalogs : catalog_publisher (text)", "shrink-score": 0.9655172413793104}
{"db_id": "product_catalog", "question": "Which catalog publishers have substring \"Murray\" in their names?", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalogs : catalog_publisher (text)", "shrink-score": 0.9655172413793104}
{"db_id": "product_catalog", "question": "Which catalog publisher has published the most catalogs?", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalogs : catalog_publisher (text) , catalog_id (number)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "Find the catalog publisher that has the most catalogs.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalogs : catalog_publisher (text) , catalog_id (number)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "Find the names and publication dates of all catalogs that have catalog level number greater than 5.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalogs : catalog_name (text) , date_of_publication (time) , catalog_id (number) | catalog_structure : catalog_id (number) , catalog_level_number (number)", "shrink-score": 0.8275862068965517}
{"db_id": "product_catalog", "question": "What are the name and publication date of the catalogs with catalog level number above 5?", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalogs : catalog_name (text) , date_of_publication (time) , catalog_id (number) | catalog_structure : catalog_id (number) , catalog_level_number (number)", "shrink-score": 0.8275862068965517}
{"db_id": "product_catalog", "question": "What are the entry names of catalog with the attribute possessed by most entries.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , catalog_entry_id (number) | catalog_contents_additional_attributes : catalog_entry_id (number) , attribute_value (text)", "shrink-score": 0.8620689655172413}
{"db_id": "product_catalog", "question": "Find the entry names of the catalog with the attribute that have the most entries.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , catalog_entry_id (number) | catalog_contents_additional_attributes : catalog_entry_id (number) , attribute_value (text)", "shrink-score": 0.8620689655172413}
{"db_id": "product_catalog", "question": "What is the entry name of the most expensive catalog (in USD)?", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , price_in_dollars (number)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "Find the entry name of the catalog with the highest price (in USD).", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , price_in_dollars (number)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "What is the level name of the cheapest catalog (in USD)?", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_structure : catalog_level_name (text) , catalog_level_number (number) | catalog_contents : catalog_level_number (number) , price_in_dollars (number)", "shrink-score": 0.8620689655172413}
{"db_id": "product_catalog", "question": "Find the level name of the catalog with the lowest price (in USD).", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_structure : catalog_level_name (text) , catalog_level_number (number) | catalog_contents : catalog_level_number (number) , price_in_dollars (number)", "shrink-score": 0.8620689655172413}
{"db_id": "product_catalog", "question": "What are the average and minimum price (in Euro) of all products?", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : price_in_euros (number)", "shrink-score": 0.9655172413793104}
{"db_id": "product_catalog", "question": "Give me the average and minimum price (in Euro) of the products.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : price_in_euros (number)", "shrink-score": 0.9655172413793104}
{"db_id": "product_catalog", "question": "What is the product with the highest height? Give me the catalog entry name.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , height (text)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "Which catalog content has the highest height? Give me the catalog entry name.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , height (text)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "Find the name of the product that has the smallest capacity.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , capacity (text)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "Which catalog content has the smallest capacity? Return the catalog entry name.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , capacity (text)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "Find the names of all the products whose stock number starts with \"2\".", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , product_stock_number (text)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "Which catalog contents have a product stock number that starts from \"2\"? Show the catalog entry names.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , product_stock_number (text)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "Find the names of catalog entries with level number 8.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , catalog_entry_id (number) , catalog_level_number (number) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number)", "shrink-score": 0.8275862068965517}
{"db_id": "product_catalog", "question": "What are the names of catalog entries with level number 8?", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , catalog_entry_id (number) , catalog_level_number (number) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number)", "shrink-score": 0.8275862068965517}
{"db_id": "product_catalog", "question": "Find the names of the products with length smaller than 3 or height greater than 5.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , length (text) , width (text)", "shrink-score": 0.896551724137931}
{"db_id": "product_catalog", "question": "Which catalog contents have length below 3 or above 5? Find the catalog entry names.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , length (text) , width (text)", "shrink-score": 0.896551724137931}
{"db_id": "product_catalog", "question": "Find the name and attribute ID of the attribute definitions with attribute value 0.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "attribute_definitions : attribute_name (text) , attribute_id (number) | catalog_contents_additional_attributes : attribute_id (number) , attribute_value (text)", "shrink-score": 0.8620689655172413}
{"db_id": "product_catalog", "question": "Which attribute definitions have attribute value 0? Give me the attribute name and attribute ID.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "attribute_definitions : attribute_name (text) , attribute_id (number) | catalog_contents_additional_attributes : attribute_id (number) , attribute_value (text)", "shrink-score": 0.8620689655172413}
{"db_id": "product_catalog", "question": "Find the name and capacity of products with price greater than 700 (in USD).", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , capacity (text) , price_in_dollars (number)", "shrink-score": 0.896551724137931}
{"db_id": "product_catalog", "question": "Which catalog contents has price above 700 dollars? Show their catalog entry names and capacities.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , capacity (text) , price_in_dollars (number)", "shrink-score": 0.896551724137931}
{"db_id": "product_catalog", "question": "Find the dates on which more than one revisions were made.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalogs : date_of_latest_revision (time) , catalog_id (number)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "On which days more than one revisions were made on catalogs.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalogs : date_of_latest_revision (time) , catalog_id (number)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "How many products are there in the records?", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_id (number)", "shrink-score": 0.9655172413793104}
{"db_id": "product_catalog", "question": "Find the total number of catalog contents.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_id (number)", "shrink-score": 0.9655172413793104}
{"db_id": "product_catalog", "question": "Name all the products with next entry ID greater than 8.", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , next_entry_id (number)", "shrink-score": 0.9310344827586207}
{"db_id": "product_catalog", "question": "What are the catalog entry names of the products with next entry ID above 8?", "schema": "attribute_definitions : attribute_id (number) , attribute_name (text) , attribute_data_type (text) | catalogs : catalog_id (number) , catalog_name (text) , catalog_publisher (text) , date_of_publication (time) , date_of_latest_revision (time) | catalog_structure : catalog_level_number (number) , catalog_id (number) , catalog_level_name (text) | catalog_contents : catalog_entry_id (number) , catalog_level_number (number) , parent_entry_id (number) , previous_entry_id (number) , next_entry_id (number) , catalog_entry_name (text) , product_stock_number (text) , price_in_dollars (number) , price_in_euros (number) , price_in_pounds (number) , capacity (text) , length (text) , height (text) , width (text) | catalog_contents_additional_attributes : catalog_entry_id (number) , catalog_level_number (number) , attribute_id (number) , attribute_value (text)", "summarized-schema": "catalog_contents : catalog_entry_name (text) , next_entry_id (number)", "shrink-score": 0.9310344827586207}
{"db_id": "flight_1", "question": "How many aircrafts do we have?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : aid (number)", "shrink-score": 0.9375}
{"db_id": "flight_1", "question": "How many aircrafts exist in the database?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : aid (number)", "shrink-score": 0.9375}
{"db_id": "flight_1", "question": "Show name and distance for all aircrafts.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , distance (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What are the names and distances for all airplanes?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , distance (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "Show ids for all aircrafts with more than 1000 distance.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : aid (number) , distance (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What are the ids of all aircrafts that can cover a distance of more than 1000?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : aid (number) , distance (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "How many aircrafts have distance between 1000 and 5000?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : distance (number) , aid (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What is the count of aircrafts that have a distance between 1000 and 5000?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : distance (number) , aid (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What is the name and distance for aircraft with id 12?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , distance (number) , aid (number)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "What is the name and distance for the aircraft that has an id of 12?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , distance (number) , aid (number)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "What is the minimum, average, and maximum distance of all aircrafts.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : distance (number)", "shrink-score": 0.9375}
{"db_id": "flight_1", "question": "Return the minimum, average and maximum distances traveled across all aircrafts.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : distance (number)", "shrink-score": 0.9375}
{"db_id": "flight_1", "question": "Show the id and name of the aircraft with the maximum distance.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : aid (number) , name (text) , distance (number)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "What is the id and name of the aircraft that can cover the maximum distance?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : aid (number) , name (text) , distance (number)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "Show the name of aircrafts with top three lowest distances.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , distance (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What are the aircrafts with top 3 shortest lengthes? List their names.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , distance (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "Show names for all aircrafts with distances more than the average.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , distance (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What are the names of all aircrafts that can cover more distances than average?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , distance (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "How many employees do we have?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : eid (number)", "shrink-score": 0.9375}
{"db_id": "flight_1", "question": "What is the number of employees?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : eid (number)", "shrink-score": 0.9375}
{"db_id": "flight_1", "question": "Show name and salary for all employees sorted by salary.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : name (text) , salary (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What is the name and salary of all employees in order of salary?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : name (text) , salary (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "Show ids for all employees with at least 100000 salary.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : eid (number) , salary (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What is the id of every employee who has at least a salary of  100000?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : eid (number) , salary (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "How many employees have salary between 100000 and 200000?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : salary (number) , eid (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What is the number of employees that have a salary between 100000 and 200000?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : salary (number) , eid (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What is the name and salary for employee with id 242518965?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : name (text) , salary (number) , eid (number)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "What is the name and salary of the employee with the id 242518965?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : name (text) , salary (number) , eid (number)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "What is average and maximum salary of all employees.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : salary (number)", "shrink-score": 0.9375}
{"db_id": "flight_1", "question": "What is the average and largest salary of all employees?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : salary (number)", "shrink-score": 0.9375}
{"db_id": "flight_1", "question": "Show the id and name of the employee with maximum salary.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : eid (number) , name (text) , salary (number)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "What is the id and name of the employee with the highest salary?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : eid (number) , name (text) , salary (number)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "Show the name of employees with three lowest salaries.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : name (text) , salary (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What is the name of the 3 employees who get paid the least?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : name (text) , salary (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "Show names for all employees with salary more than the average.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : name (text) , salary (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What are the names of all employees who have a salary higher than average?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : name (text) , salary (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "Show the id and salary of Mark Young.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : eid (number) , salary (number) , name (text)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "What is the id and salary of the employee named Mark Young?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : eid (number) , salary (number) , name (text)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "How many flights do we have?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : flno (number)", "shrink-score": 0.9375}
{"db_id": "flight_1", "question": "What is the number of flights?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : flno (number)", "shrink-score": 0.9375}
{"db_id": "flight_1", "question": "Show flight number, origin, destination of all flights in the alphabetical order of the departure cities.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : flno (number) , origin (text) , destination (text)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "What is the flight number, origin, and destination for all flights in alphabetical order by departure cities?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : flno (number) , origin (text) , destination (text)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "Show all flight number from Los Angeles.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : flno (number) , origin (text)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What are the numbers of all flights coming from Los Angeles?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : flno (number) , origin (text)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "Show origins of all flights with destination Honolulu.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : origin (text) , destination (text)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What are the origins of all flights that are headed to Honolulu?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : origin (text) , destination (text)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "Show me the departure date and arrival date for all flights from Los Angeles to Honolulu.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : departure_date (time) , arrival_date (time) , origin (text) , destination (text)", "shrink-score": 0.75}
{"db_id": "flight_1", "question": "What are the departure and arrival dates of all flights from LA to Honolulu?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : departure_date (time) , arrival_date (time) , origin (text) , destination (text)", "shrink-score": 0.75}
{"db_id": "flight_1", "question": "Show flight number for all flights with more than 2000 distance.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : flno (number) , distance (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What are the numbers of all flights that can cover a distance of more than 2000?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : flno (number) , distance (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What is the average price for flights from Los Angeles to Honolulu.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : price (number) , origin (text) , destination (text)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "What is the average price for flights from LA to Honolulu?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : price (number) , origin (text) , destination (text)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "Show origin and destination for flights with price higher than 300.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : origin (text) , destination (text) , price (number)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "What is the origin and destination for all flights whose price is higher than 300?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : origin (text) , destination (text) , price (number)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "Show the flight number and distance of the flight with maximum price.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : flno (number) , distance (number) , price (number)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "What is the flight number and its distance for the one with the maximum price?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : flno (number) , distance (number) , price (number)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "Show the flight number of flights with three lowest distances.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : flno (number) , distance (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What are the numbers of the shortest flights?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : flno (number) , distance (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What is the average distance and average price for flights from Los Angeles.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : distance (number) , price (number) , origin (text)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "What is the average distance and price for all flights from LA?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : distance (number) , price (number) , origin (text)", "shrink-score": 0.8125}
{"db_id": "flight_1", "question": "Show all origins and the number of flights from each origin.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : origin (text) , flno (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "For each origin, how many flights came from there?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : origin (text) , flno (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "Show all destinations and the number of flights to each destination.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : destination (text) , flno (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What are the destinations and number of flights to each one?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : destination (text) , flno (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "Which origin has most number of flights?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : origin (text) , flno (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What place has the most flights coming from there?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : origin (text) , flno (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "Which destination has least number of flights?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : destination (text) , flno (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What destination has the fewest number of flights?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : destination (text) , flno (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What is the aircraft name for the flight with number 99", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | flight : aid (number) , flno (number)", "shrink-score": 0.75}
{"db_id": "flight_1", "question": "What is the name of the aircraft that was on flight number 99?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | flight : aid (number) , flno (number)", "shrink-score": 0.75}
{"db_id": "flight_1", "question": "Show all flight numbers with aircraft Airbus A340-300.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : flno (number) , aid (number) | aircraft : aid (number) , name (text)", "shrink-score": 0.75}
{"db_id": "flight_1", "question": "What are the flight numbers for the aircraft Airbus A340-300?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "flight : flno (number) , aid (number) | aircraft : aid (number) , name (text)", "shrink-score": 0.75}
{"db_id": "flight_1", "question": "Show aircraft names and number of flights for each aircraft.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | flight : aid (number) , flno (number)", "shrink-score": 0.75}
{"db_id": "flight_1", "question": "What is the name of each aircraft and how many flights does each one complete?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | flight : aid (number) , flno (number)", "shrink-score": 0.75}
{"db_id": "flight_1", "question": "Show names for all aircraft with at least two flights.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | flight : aid (number) , flno (number)", "shrink-score": 0.75}
{"db_id": "flight_1", "question": "What are the names for all aircrafts with at least 2 flights?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | flight : aid (number) , flno (number)", "shrink-score": 0.75}
{"db_id": "flight_1", "question": "How many employees have certificate.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "certificate : eid (number)", "shrink-score": 0.9375}
{"db_id": "flight_1", "question": "What is the count of distinct employees with certificates?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "certificate : eid (number)", "shrink-score": 0.9375}
{"db_id": "flight_1", "question": "Show ids for all employees who don't have a certificate.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : eid (number) | certificate : eid (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "What are the ids of all employees that don't have certificates?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : eid (number) | certificate : eid (number)", "shrink-score": 0.875}
{"db_id": "flight_1", "question": "Show names for all aircrafts of which John Williams has certificates.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | employee : name (text) , eid (number) | certificate : eid (number) , aid (number)", "shrink-score": 0.625}
{"db_id": "flight_1", "question": "What are the names of all aircrafts that John Williams have certificates to be able to fly?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | employee : name (text) , eid (number) | certificate : eid (number) , aid (number)", "shrink-score": 0.625}
{"db_id": "flight_1", "question": "Show names for all employees who have certificate of Boeing 737-800.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | employee : name (text) , eid (number) | certificate : eid (number) , aid (number)", "shrink-score": 0.625}
{"db_id": "flight_1", "question": "What are the names of all employees who have a certificate to fly Boeing 737-800?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | employee : name (text) , eid (number) | certificate : eid (number) , aid (number)", "shrink-score": 0.625}
{"db_id": "flight_1", "question": "Show names for all employees who have certificates on both Boeing 737-800 and Airbus A340-300.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | employee : name (text) , eid (number) | certificate : eid (number) , aid (number)", "shrink-score": 0.625}
{"db_id": "flight_1", "question": "What are the names of all employees who can fly both the Boeing 737-800 and the Airbus A340-300?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | employee : name (text) , eid (number) | certificate : eid (number) , aid (number)", "shrink-score": 0.625}
{"db_id": "flight_1", "question": "Show names for all employees who do not have certificate of Boeing 737-800.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | employee : name (text) , eid (number) | certificate : eid (number) , aid (number)", "shrink-score": 0.625}
{"db_id": "flight_1", "question": "What are the names of all employees who are not certified to fly Boeing 737-800s?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | employee : name (text) , eid (number) | certificate : eid (number) , aid (number)", "shrink-score": 0.625}
{"db_id": "flight_1", "question": "Show the name of aircraft which fewest people have its certificate.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | certificate : aid (number) , eid (number)", "shrink-score": 0.75}
{"db_id": "flight_1", "question": "What are the names of the aircraft that the least people are certified to fly?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) | certificate : aid (number) , eid (number)", "shrink-score": 0.75}
{"db_id": "flight_1", "question": "Show the name and distance of the aircrafts with more than 5000 distance and which at least 5 people have its certificate.", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) , distance (number) | certificate : aid (number) , eid (number)", "shrink-score": 0.6875}
{"db_id": "flight_1", "question": "What is the name and distance of every aircraft that can cover a distance of more than 5000 and which at least 5 people can fly?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) , distance (number) | certificate : aid (number) , eid (number)", "shrink-score": 0.6875}
{"db_id": "flight_1", "question": "what is the salary and name of the employee who has the most number of aircraft certificates?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : name (text) , salary (number) , eid (number) | certificate : eid (number)", "shrink-score": 0.75}
{"db_id": "flight_1", "question": "What is the salaray and name of the employee that is certified to fly the most planes?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "employee : name (text) , salary (number) , eid (number) | certificate : eid (number)", "shrink-score": 0.75}
{"db_id": "flight_1", "question": "What is the salary and name of the employee who has the most number of certificates on aircrafts with distance more than 5000?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) , distance (number) | employee : name (text) , eid (number) | certificate : eid (number) , aid (number)", "shrink-score": 0.5625}
{"db_id": "flight_1", "question": "What is the salaray and name of the employee with the most certificates to fly planes more than 5000?", "schema": "flight : flno (number) , origin (text) , destination (text) , distance (number) , departure_date (time) , arrival_date (time) , price (number) , aid (number) | aircraft : aid (number) , name (text) , distance (number) | employee : eid (number) , name (text) , salary (number) | certificate : eid (number) , aid (number)", "summarized-schema": "aircraft : name (text) , aid (number) , distance (number) | employee : name (text) , eid (number) | certificate : eid (number) , aid (number)", "shrink-score": 0.5625}
{"db_id": "allergy_1", "question": "How many allergies are there?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergy (text)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "How many allergy entries are there?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergy (text)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "How many different allergy types exist?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "How many distinct allergies are there?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "Show all allergy types.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "What are the different allergy types?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "Show all allergies and their types.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergy (text) , allergytype (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "What are the allergies and their types?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergy (text) , allergytype (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Show all allergies with type food.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergy (text) , allergytype (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "What are all the different food allergies?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergy (text) , allergytype (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "What is the type of allergy Cat?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text) , allergy (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "What is allergy type of a cat allergy?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text) , allergy (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "How many allergies have type animal?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text) , allergy (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "How many animal type allergies exist?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text) , allergy (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Show all allergy types and the number of allergies in each type.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text) , allergy (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "What are the allergy types and how many allergies correspond to each one?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text) , allergy (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Which allergy type has most number of allergies?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text) , allergy (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Which allergy type is most common?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text) , allergy (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Which allergy type has least number of allergies?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text) , allergy (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Which allergy type is the least common?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text) , allergy (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "How many students are there?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : stuid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "What is the total number of students?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : stuid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "Show first name and last name for all students.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : fname (text) , lname (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "What are the full names of all students", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : fname (text) , lname (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "How many different advisors are listed?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : advisor (number)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "How many advisors are there?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : advisor (number)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "Show all majors.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : major (number)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "What are the different majors?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : major (number)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "Show all cities where students live.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : city_code (text)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "What cities do students live in?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : city_code (text)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "Show first name, last name, age for all female students. Their sex is F.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : fname (text) , lname (text) , age (number) , sex (text)", "shrink-score": 0.6666666666666666}
{"db_id": "allergy_1", "question": "What are the full names and ages for all female students whose sex is F?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : fname (text) , lname (text) , age (number) , sex (text)", "shrink-score": 0.6666666666666666}
{"db_id": "allergy_1", "question": "Show student ids for all male students.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : stuid (number) , sex (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "What are the student ids for all male students?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : stuid (number) , sex (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "How many students are age 18?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : age (number) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "How many students are 18 years old?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : age (number) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Show all student ids who are older than 20.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : stuid (number) , age (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "What are the student ids for students over 20 years old?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : stuid (number) , age (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Which city does the student whose last name is \"Kim\" live in?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : city_code (text) , lname (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Give the city that the student whose family name is Kim lives in.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : city_code (text) , lname (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Who is the advisor of student with ID 1004?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Who advises student 1004?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "How many students live in HKG or CHI?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : city_code (text) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Give the number of students living in either HKG or CHI.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : city_code (text) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Show the minimum, average, and maximum age of all students.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : age (number)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "What is the minimum, mean, and maximum age across all students?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : age (number)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "What is the last name of the youngest student?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : lname (text) , age (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Provide the last name of the youngest student.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : lname (text) , age (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Show the student id of the oldest student.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : stuid (number) , age (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "What student id corresponds to the oldest student?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : stuid (number) , age (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Show all majors and corresponding number of students.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : major (number) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "How many students are there for each major?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : major (number) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Which major has most number of students?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : major (number) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "What is the largest major?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : major (number) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Show all ages and corresponding number of students.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : age (number) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "How old is each student and how many students are each age?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : age (number) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Show the average age for male and female students.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : age (number) , sex (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "What are the average ages for male and female students?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : age (number) , sex (text)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Show all cities and corresponding number of students.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : city_code (text) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "How many students live in each city?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : city_code (text) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Show all advisors and corresponding number of students.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "How many students does each advisor have?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Which advisor has most number of students?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Give the advisor with the most students.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "How many students have cat allergies?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "has_allergy : allergy (text)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "How many students are affected by cat allergies?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "has_allergy : allergy (text)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "Show all student IDs who have at least two allergies.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "has_allergy : stuid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "What are the students ids of students who have more than one allergy?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "has_allergy : stuid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "What are the student ids of students who don't have any allergies?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "has_allergy : stuid (number) | student : stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "Which students are unaffected by allergies?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "has_allergy : stuid (number) | student : stuid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "allergy_1", "question": "How many female students have milk or egg allergies?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "has_allergy : stuid (number) , allergy (text) | student : stuid (number) , sex (text)", "shrink-score": 0.6666666666666666}
{"db_id": "allergy_1", "question": "How many students who are female are allergic to milk or eggs?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "has_allergy : stuid (number) , allergy (text) | student : stuid (number) , sex (text)", "shrink-score": 0.6666666666666666}
{"db_id": "allergy_1", "question": "How many students have a food allergy?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : allergy (text)", "shrink-score": 0.75}
{"db_id": "allergy_1", "question": "How many students are affected by food related allergies?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : allergy (text)", "shrink-score": 0.75}
{"db_id": "allergy_1", "question": "Which allergy has most number of students affected?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "has_allergy : allergy (text)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "Which allergy is the most common?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "has_allergy : allergy (text)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "Show all allergies with number of students affected.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "has_allergy : allergy (text)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "How many students have each different allergy?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "has_allergy : allergy (text)", "shrink-score": 0.9166666666666666}
{"db_id": "allergy_1", "question": "Show all allergy type with number of students affected.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text) , allergy (text) | has_allergy : allergy (text)", "shrink-score": 0.75}
{"db_id": "allergy_1", "question": "How many students are affected by each allergy type?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergytype (text) , allergy (text) | has_allergy : allergy (text)", "shrink-score": 0.75}
{"db_id": "allergy_1", "question": "Find the last name and age of the student who has allergy to both milk and cat.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : lname (text) , age (number) , stuid (number) | has_allergy : stuid (number) , allergy (text)", "shrink-score": 0.5833333333333334}
{"db_id": "allergy_1", "question": "What are the last names and ages of the students who are allergic to milk and cat?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : lname (text) , age (number) , stuid (number) | has_allergy : stuid (number) , allergy (text)", "shrink-score": 0.5833333333333334}
{"db_id": "allergy_1", "question": "What are the allergies and their types that the student with first name Lisa has? And order the result by name of allergies.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : allergy (text) , stuid (number) | student : stuid (number) , fname (text)", "shrink-score": 0.5}
{"db_id": "allergy_1", "question": "What are the allergies the girl named Lisa has? And what are the types of them? Order the result by allergy names.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : allergy (text) , stuid (number) | student : stuid (number) , fname (text)", "shrink-score": 0.5}
{"db_id": "allergy_1", "question": "Find the first name and gender of the student who has allergy to milk but not cat.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : fname (text) , sex (text) , stuid (number) | has_allergy : stuid (number) , allergy (text)", "shrink-score": 0.5833333333333334}
{"db_id": "allergy_1", "question": "What are the first name and gender of the students who have allergy to milk but can put up with cats?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : fname (text) , sex (text) , stuid (number) | has_allergy : stuid (number) , allergy (text)", "shrink-score": 0.5833333333333334}
{"db_id": "allergy_1", "question": "Find the average age of the students who have allergies with food and animal types.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : age (number) , stuid (number) | has_allergy : stuid (number) , allergy (text) | allergy_type : allergy (text) , allergytype (text)", "shrink-score": 0.5}
{"db_id": "allergy_1", "question": "How old are the students with allergies to food and animal types on average?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : age (number) , stuid (number) | has_allergy : stuid (number) , allergy (text) | allergy_type : allergy (text) , allergytype (text)", "shrink-score": 0.5}
{"db_id": "allergy_1", "question": "List the first and last name of the students who do not have any food type allergy.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | has_allergy : stuid (number) , allergy (text) | allergy_type : allergy (text) , allergytype (text)", "shrink-score": 0.4166666666666667}
{"db_id": "allergy_1", "question": "What is the full name of each student who is not allergic to any type of food.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | has_allergy : stuid (number) , allergy (text) | allergy_type : allergy (text) , allergytype (text)", "shrink-score": 0.4166666666666667}
{"db_id": "allergy_1", "question": "Find the number of male (sex is 'M') students who have some food type allery.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : sex (text) , stuid (number) | has_allergy : stuid (number) , allergy (text) | allergy_type : allergy (text) , allergytype (text)", "shrink-score": 0.5}
{"db_id": "allergy_1", "question": "How many male students (sex is 'M') are allergic to any type of food?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : sex (text) , stuid (number) | has_allergy : stuid (number) , allergy (text) | allergy_type : allergy (text) , allergytype (text)", "shrink-score": 0.5}
{"db_id": "allergy_1", "question": "Find the different first names and cities of the students who have allergy to milk or cat.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : fname (text) , city_code (text) , stuid (number) | has_allergy : stuid (number) , allergy (text)", "shrink-score": 0.5833333333333334}
{"db_id": "allergy_1", "question": "What are the distinct first names and cities of the students who have allergy either to milk or to cat?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : fname (text) , city_code (text) , stuid (number) | has_allergy : stuid (number) , allergy (text)", "shrink-score": 0.5833333333333334}
{"db_id": "allergy_1", "question": "Find the number of students who are older than 18 and do not have allergy to either food or animal.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : age (number) , stuid (number) | has_allergy : stuid (number) , allergy (text) | allergy_type : allergy (text) , allergytype (text)", "shrink-score": 0.5}
{"db_id": "allergy_1", "question": "How many students are over 18 and do not have allergy to food type or animal type?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : age (number) , stuid (number) | has_allergy : stuid (number) , allergy (text) | allergy_type : allergy (text) , allergytype (text)", "shrink-score": 0.5}
{"db_id": "allergy_1", "question": "Find the first name and major of the students who are not allegry to soy.", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : fname (text) , major (number) , stuid (number) | has_allergy : stuid (number) , allergy (text)", "shrink-score": 0.5833333333333334}
{"db_id": "allergy_1", "question": "What are the first name and major of the students who are able to consume soy?", "schema": "allergy_type : allergy (text) , allergytype (text) | has_allergy : stuid (number) , allergy (text) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text)", "summarized-schema": "student : fname (text) , major (number) , stuid (number) | has_allergy : stuid (number) , allergy (text)", "shrink-score": 0.5833333333333334}
{"db_id": "store_1", "question": "A list of the top 5 countries by number of invoices. List country name and number of invoices.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : billing_country (text) , id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "What are the top 5 countries by number of invoices and how many do they have?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : billing_country (text) , id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "A list of the top 8 countries by gross/total invoice size. List country name and gross invoice size.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : billing_country (text) , total (number)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "What are the names of the top 8 countries by total invoice size and what are those sizes?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : billing_country (text) , total (number)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "A list of the top 10 countries by average invoice size. List country name and average invoice size.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : billing_country (text) , total (number)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "What are the names of the countries and average invoice size of the top countries by size?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : billing_country (text) , total (number)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "Find out 5 customers who most recently purchased something. List customers' first and last name.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : first_name (text) , last_name (text) , id (number) | invoices : customer_id (number) , id (number) , invoice_date (time)", "shrink-score": 0.9090909090909091}
{"db_id": "store_1", "question": "What are the first and last names of the 5 customers who purchased something most recently?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : first_name (text) , last_name (text) , id (number) | invoices : customer_id (number) , id (number) , invoice_date (time)", "shrink-score": 0.9090909090909091}
{"db_id": "store_1", "question": "Find out the top 10 customers by total number of orders. List customers' first and last name and the number of total orders.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : first_name (text) , last_name (text) , id (number) | invoices : customer_id (number) , id (number)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "What are the top 10 customers' first and last names by total number of orders and how many orders did they make?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : first_name (text) , last_name (text) , id (number) | invoices : customer_id (number) , id (number)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "List the top 10 customers by total gross sales. List customers' first and last name and total gross sales.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : first_name (text) , last_name (text) , id (number) | invoices : total (number) , customer_id (number) , id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_1", "question": "What are the top 10 customers' first and last names with the highest gross sales, and also what are the sales?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : first_name (text) , last_name (text) , id (number) | invoices : total (number) , customer_id (number) , id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_1", "question": "List the top 5 genres by number of tracks. List genres name and total tracks.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "genres : name (text) , id (number) | tracks : name (text) , genre_id (number) , id (number)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "How many tracks does each genre have and what are the names of the top 5?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "genres : name (text) , id (number) | tracks : name (text) , genre_id (number) , id (number)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "List every album's title.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : title (text)", "shrink-score": 0.9848484848484849}
{"db_id": "store_1", "question": "What are the titles of all the albums?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : title (text)", "shrink-score": 0.9848484848484849}
{"db_id": "store_1", "question": "List every album ordered by album title in ascending order.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : title (text)", "shrink-score": 0.9848484848484849}
{"db_id": "store_1", "question": "What are the titles of all the albums alphabetically ascending?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : title (text)", "shrink-score": 0.9848484848484849}
{"db_id": "store_1", "question": "List every album whose title starts with A in alphabetical order.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : title (text)", "shrink-score": 0.9848484848484849}
{"db_id": "store_1", "question": "What are the titles of all albums that start with A in alphabetical order?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : title (text)", "shrink-score": 0.9848484848484849}
{"db_id": "store_1", "question": "List the customers first and last name of 10 least expensive invoices.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : first_name (text) , last_name (text) , id (number) | invoices : customer_id (number) , id (number) , total (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_1", "question": "What are the first and last names of the customers with the 10 cheapest invoices?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : first_name (text) , last_name (text) , id (number) | invoices : customer_id (number) , id (number) , total (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_1", "question": "List total amount of  invoice from Chicago, IL.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : total (number) , billing_city (text) , billing_state (text)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "What are the total amount of money in the invoices billed from Chicago, Illinois?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : total (number) , billing_city (text) , billing_state (text)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "List the number of invoices from Chicago, IL.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : billing_city (text) , billing_state (text) , id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "How many invoices were billed from Chicago, IL?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : billing_city (text) , billing_state (text) , id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "List the number of invoices from the US, grouped by state.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : billing_state (text) , billing_country (text) , id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "How many invoices were billed from each state?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : billing_state (text) , billing_country (text) , id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "List the state in the US with the most invoices.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : billing_state (text) , billing_country (text) , id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "What are the states with the most invoices?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : billing_state (text) , billing_country (text) , id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "List the number of invoices and the invoice total from California.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : billing_state (text) , total (number) , id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "What is the number of invoices and total money billed in them from CA?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : billing_state (text) , total (number) , id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "List Aerosmith's albums.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : title (text) , artist_id (number) , id (number) | artists : id (number) , name (text)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "What are the titles of all the Aerosmith albums?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : title (text) , artist_id (number) , id (number) | artists : id (number) , name (text)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "How many albums does Billy Cobham has?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : artist_id (number) , id (number) | artists : id (number) , name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "store_1", "question": "How many albums has Billy Cobam released?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : artist_id (number) , id (number) | artists : id (number) , name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "store_1", "question": "Eduardo Martins is a customer at which company?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : company (text) , first_name (text) , last_name (text)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "What is the company where Eduardo Martins is a customer?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : company (text) , first_name (text) , last_name (text)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "What is Astrid Gruber's email and phone number?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : email (text) , phone (text) , first_name (text) , last_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "store_1", "question": "What is the email and phone number of Astrid Gruber the customer?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : email (text) , phone (text) , first_name (text) , last_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "store_1", "question": "How many customers live in Prague city?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : city (text) , id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "How many customers live in the city of Prague?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : city (text) , id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "How many customers in state of CA?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : state (text) , id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "How many customers are from California?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : state (text) , id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "What country does Roberto Almeida live?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : country (text) , first_name (text) , last_name (text)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "In which country does Roberto Almeida?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : country (text) , first_name (text) , last_name (text)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "List the name of albums that are released by aritist whose name has 'Led'", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : title (text) , id (number) , artist_id (number) | artists : id (number) , name (text)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "What is the title of the album that was released by the artist whose name has the phrase 'Led'?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : title (text) , id (number) , artist_id (number) | artists : id (number) , name (text)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "How many customers does Steve Johnson support?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : support_rep_id (number) , id (number) , first_name (text) , last_name (text) | employees : id (number) , first_name (text) , last_name (text)", "shrink-score": 0.8939393939393939}
{"db_id": "store_1", "question": "What is the count of customers that Steve Johnson supports?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : support_rep_id (number) , id (number) , first_name (text) , last_name (text) | employees : id (number) , first_name (text) , last_name (text)", "shrink-score": 0.8939393939393939}
{"db_id": "store_1", "question": "What is the title, phone and hire date of Nancy Edwards?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : title (text) , phone (text) , hire_date (time) , first_name (text) , last_name (text)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "What is the title, phone number and hire date for the employee named Nancy Edwards?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : title (text) , phone (text) , hire_date (time) , first_name (text) , last_name (text)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "find the full name of employees who report to Nancy Edwards?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : first_name (text) , last_name (text) , id (number) , reports_to (number)", "shrink-score": 0.9393939393939394}
{"db_id": "store_1", "question": "What is the first and last name of the employee who reports to Nancy Edwards?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : first_name (text) , last_name (text) , id (number) , reports_to (number)", "shrink-score": 0.9393939393939394}
{"db_id": "store_1", "question": "What is the address of employee Nancy Edwards?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : address (text) , first_name (text) , last_name (text)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "What is Nancy Edwards's address?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : address (text) , first_name (text) , last_name (text)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "Find the full name of employee who supported the most number of customers.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : first_name (text) , last_name (text) , id (number) | customers : first_name (text) , last_name (text) , id (number) , support_rep_id (number)", "shrink-score": 0.8939393939393939}
{"db_id": "store_1", "question": "What is the full name of the employee who has the most customers?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : first_name (text) , last_name (text) , id (number) | customers : first_name (text) , last_name (text) , id (number) , support_rep_id (number)", "shrink-score": 0.8939393939393939}
{"db_id": "store_1", "question": "How many employees are living in Canada?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : country (text) , id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "How many employees live in Canada?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : country (text) , id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "What is employee Nancy Edwards's phone number?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : phone (text) , first_name (text) , last_name (text)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "What is the the phone number of Nancy Edwards?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : phone (text) , first_name (text) , last_name (text)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "Who is the youngest employee in the company? List employee's first and last name.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : first_name (text) , last_name (text) , birth_date (time)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "What si the youngest employee's first and last name?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : first_name (text) , last_name (text) , birth_date (time)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "List top 10 employee work longest in the company. List employee's first and last name.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : first_name (text) , last_name (text) , hire_date (time)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "What are the first and last names of the top 10 longest-serving employees?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : first_name (text) , last_name (text) , hire_date (time)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "Find the number of employees whose title is IT Staff from each city?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : city (text) , title (text) , id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "How many employees who are IT staff are from each city?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : city (text) , title (text) , id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "store_1", "question": "Which employee manage most number of peoples? List employee's first and last name, and number of people report to that employee.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : first_name (text) , last_name (text) , reports_to (number) , id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "store_1", "question": "What are the first and last names of all the employees and how many people report to them?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "employees : first_name (text) , last_name (text) , reports_to (number) , id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "store_1", "question": "How many orders does Lucas Mancini has?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : id (number) , first_name (text) , last_name (text) | invoices : id (number) , customer_id (number)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "How many orders does Luca Mancini have in his invoices?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "customers : id (number) , first_name (text) , last_name (text) | invoices : id (number) , customer_id (number)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "What is the total amount of money spent by Lucas Mancini?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : total (number) , id (number) , customer_id (number) | customers : id (number) , first_name (text) , last_name (text)", "shrink-score": 0.9090909090909091}
{"db_id": "store_1", "question": "How much money did Lucas Mancini spend?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "invoices : total (number) , id (number) , customer_id (number) | customers : id (number) , first_name (text) , last_name (text)", "shrink-score": 0.9090909090909091}
{"db_id": "store_1", "question": "List all media types.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "media_types : name (text)", "shrink-score": 0.9848484848484849}
{"db_id": "store_1", "question": "What are the names of all the media types?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "media_types : name (text)", "shrink-score": 0.9848484848484849}
{"db_id": "store_1", "question": "List all different genre types.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "genres : name (text)", "shrink-score": 0.9848484848484849}
{"db_id": "store_1", "question": "What are the different names of the genres?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "genres : name (text)", "shrink-score": 0.9848484848484849}
{"db_id": "store_1", "question": "List the name of all playlist.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "playlists : name (text)", "shrink-score": 0.9848484848484849}
{"db_id": "store_1", "question": "What are the names of all the playlists?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "playlists : name (text)", "shrink-score": 0.9848484848484849}
{"db_id": "store_1", "question": "Who is the composer of track Fast As a Shark?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : composer (text) , name (text)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "What is the composer who created the track \"Fast As a Shark\"?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : composer (text) , name (text)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "How long does track Fast As a Shark has?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : milliseconds (number) , name (text)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "How many milliseconds long is Fast As a Shark?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : milliseconds (number) , name (text)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "What is the name of tracks whose genre is Rock?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "genres : name (text) , id (number) | tracks : name (text) , id (number) , genre_id (number)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "What is the name of all tracks in the Rock genre?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "genres : name (text) , id (number) | tracks : name (text) , id (number) , genre_id (number)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "What is title of album which track Balls to the Wall belongs to?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : title (text) , id (number) | tracks : id (number) , genre_id (number) , name (text)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "What is the name of the album that has the track Ball to the Wall?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : title (text) , id (number) | tracks : id (number) , genre_id (number) , name (text)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "List name of all tracks in Balls to the Wall.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : name (text) , id (number) , genre_id (number) | albums : id (number) , title (text)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "What is the name of all tracks in the album named Balls to the Wall?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : name (text) , id (number) , genre_id (number) | albums : id (number) , title (text)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "List title of albums have the number of tracks greater than 10.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : title (text) , id (number) | tracks : id (number) , album_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "store_1", "question": "What are the names of the albums that have more than 10 tracks?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "albums : title (text) , id (number) | tracks : id (number) , album_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "store_1", "question": "List the name of tracks belongs to genre Rock and whose media type is MPEG audio file.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "genres : name (text) , id (number) | media_types : name (text) , id (number) | tracks : name (text) , id (number) , genre_id (number) , media_type_id (number)", "shrink-score": 0.8787878787878788}
{"db_id": "store_1", "question": "What are the names of all Rock tracks that are stored on MPEG audio files?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "genres : name (text) , id (number) | media_types : name (text) , id (number) | tracks : name (text) , id (number) , genre_id (number) , media_type_id (number)", "shrink-score": 0.8787878787878788}
{"db_id": "store_1", "question": "List the name of tracks belongs to genre Rock or media type is MPEG audio file.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "genres : name (text) , id (number) | media_types : name (text) , id (number) | tracks : name (text) , id (number) , genre_id (number) , media_type_id (number)", "shrink-score": 0.8787878787878788}
{"db_id": "store_1", "question": "What are the names of all tracks that belong to the Rock genre and whose media type is MPEG?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "genres : name (text) , id (number) | media_types : name (text) , id (number) | tracks : name (text) , id (number) , genre_id (number) , media_type_id (number)", "shrink-score": 0.8787878787878788}
{"db_id": "store_1", "question": "List the name of tracks belongs to genre Rock or genre Jazz.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "genres : name (text) , id (number) | tracks : name (text) , id (number) , genre_id (number)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "What are the names of the tracks that are Rock or Jazz songs?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "genres : name (text) , id (number) | tracks : name (text) , id (number) , genre_id (number)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "List the name of all tracks in the playlists of Movies.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : name (text) , id (number) | playlists : name (text) , id (number) | playlist_tracks : track_id (number) , playlist_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_1", "question": "What are the names of all tracks that are on playlists titled Movies?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : name (text) , id (number) | playlists : name (text) , id (number) | playlist_tracks : track_id (number) , playlist_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_1", "question": "List the name of playlist which has number of tracks greater than 100.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "playlists : name (text) , id (number) | playlist_tracks : playlist_id (number) , track_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "store_1", "question": "What are the names of all playlists that have more than 100 tracks?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "playlists : name (text) , id (number) | playlist_tracks : playlist_id (number) , track_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "store_1", "question": "List all tracks bought by customer Daan Peeters.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : name (text) , id (number) | customers : id (number) , first_name (text) , last_name (text) | invoices : id (number) , customer_id (number) | invoice_lines : id (number) , track_id (number) , invoice_id (number)", "shrink-score": 0.8484848484848485}
{"db_id": "store_1", "question": "What are the tracks that Dean Peeters bought?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : name (text) , id (number) | customers : id (number) , first_name (text) , last_name (text) | invoices : id (number) , customer_id (number) | invoice_lines : id (number) , track_id (number) , invoice_id (number)", "shrink-score": 0.8484848484848485}
{"db_id": "store_1", "question": "How much is the track Fast As a Shark?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : unit_price (number) , name (text)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "What is the unit price of the tune \"Fast As a Shark\"?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : unit_price (number) , name (text)", "shrink-score": 0.9696969696969697}
{"db_id": "store_1", "question": "Find the name of tracks which are in Movies playlist but not in music playlist.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : name (text) , id (number) | playlists : name (text) , id (number) | playlist_tracks : track_id (number) , playlist_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_1", "question": "What are the names of all tracks that are on the Movies playlist but not in the music playlist?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : name (text) , id (number) | playlists : name (text) , id (number) | playlist_tracks : track_id (number) , playlist_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_1", "question": "Find the name of tracks which are in both Movies and music playlists.", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : name (text) , id (number) | playlists : name (text) , id (number) | playlist_tracks : track_id (number) , playlist_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_1", "question": "What are the names of all the tracks that are in both the Movies and music playlists?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "tracks : name (text) , id (number) | playlists : name (text) , id (number) | playlist_tracks : track_id (number) , playlist_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_1", "question": "Find number of tracks in each genre?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "genres : name (text) , id (number) | tracks : name (text) , id (number) , genre_id (number)", "shrink-score": 0.9242424242424242}
{"db_id": "store_1", "question": "How many tracks are in each genre?", "schema": "artists : id (number) , name (text) | sqlite_sequence : name (text) , seq (text) | albums : id (number) , title (text) , artist_id (number) | employees : id (number) , last_name (text) , first_name (text) , title (text) , reports_to (number) , birth_date (time) , hire_date (time) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) | customers : id (number) , first_name (text) , last_name (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postal_code (text) , phone (text) , fax (text) , email (text) , support_rep_id (number) | genres : id (number) , name (text) | invoices : id (number) , customer_id (number) , invoice_date (time) , billing_address (text) , billing_city (text) , billing_state (text) , billing_country (text) , billing_postal_code (text) , total (number) | media_types : id (number) , name (text) | tracks : id (number) , name (text) , album_id (number) , media_type_id (number) , genre_id (number) , composer (text) , milliseconds (number) , bytes (number) , unit_price (number) | invoice_lines : id (number) , invoice_id (number) , track_id (number) , unit_price (number) , quantity (number) | playlists : id (number) , name (text) | playlist_tracks : playlist_id (number) , track_id (number)", "summarized-schema": "genres : name (text) , id (number) | tracks : name (text) , id (number) , genre_id (number)", "shrink-score": 0.9242424242424242}
{"db_id": "journal_committee", "question": "How many editors are there?", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "editor : editor_id (number)", "shrink-score": 0.9}
{"db_id": "journal_committee", "question": "List the names of editors in ascending order of age.", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "editor : name (text) , age (number)", "shrink-score": 0.8}
{"db_id": "journal_committee", "question": "What are the names and ages of editors?", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "editor : name (text) , age (number)", "shrink-score": 0.8}
{"db_id": "journal_committee", "question": "List the names of editors who are older than 25.", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "editor : name (text) , age (number)", "shrink-score": 0.8}
{"db_id": "journal_committee", "question": "Show the names of editors of age either 24 or 25.", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "editor : name (text) , age (number)", "shrink-score": 0.8}
{"db_id": "journal_committee", "question": "What is the name of the youngest editor?", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "editor : name (text) , age (number)", "shrink-score": 0.8}
{"db_id": "journal_committee", "question": "What are the different ages of editors? Show each age along with the number of editors of that age.", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "editor : age (number) , editor_id (number)", "shrink-score": 0.8}
{"db_id": "journal_committee", "question": "Please show the most common age of editors.", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "editor : age (number) , editor_id (number)", "shrink-score": 0.8}
{"db_id": "journal_committee", "question": "Show the distinct themes of journals.", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "journal : theme (text)", "shrink-score": 0.9}
{"db_id": "journal_committee", "question": "Show the names of editors and the theme of journals for which they serve on committees.", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "editor : name (text) , editor_id (number) | journal : theme (text) , journal_id (number) | journal_committee : editor_id (number) , journal_id (number)", "shrink-score": 0.4}
{"db_id": "journal_committee", "question": "For each journal_committee, find the editor name and the journal theme.", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "editor : name (text) , editor_id (number) | journal : theme (text) , journal_id (number) | journal_committee : editor_id (number) , journal_id (number)", "shrink-score": 0.4}
{"db_id": "journal_committee", "question": "Show the names and ages of editors and the theme of journals for which they serve on committees, in ascending alphabetical order of theme.", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "editor : name (text) , age (number) , editor_id (number) | journal : theme (text) , journal_id (number) | journal_committee : editor_id (number) , journal_id (number)", "shrink-score": 0.3}
{"db_id": "journal_committee", "question": "Show the names of editors that are on the committee of journals with sales bigger than 3000.", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "editor : name (text) , editor_id (number) | journal_committee : editor_id (number) , journal_id (number) | journal : journal_id (number) , sales (number)", "shrink-score": 0.4}
{"db_id": "journal_committee", "question": "Show the id, name of each editor and the number of journal committees they are on.", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "editor : editor_id (number) , name (text) | journal_committee : editor_id (number)", "shrink-score": 0.7}
{"db_id": "journal_committee", "question": "Show the names of editors that are on at least two journal committees.", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "editor : name (text) , editor_id (number) | journal_committee : editor_id (number)", "shrink-score": 0.7}
{"db_id": "journal_committee", "question": "List the names of editors that are not on any journal committee.", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "editor : name (text) , editor_id (number) | journal_committee : editor_id (number)", "shrink-score": 0.7}
{"db_id": "journal_committee", "question": "List the date, theme and sales of the journal which did not have any of the listed editors serving on committee.", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "journal : date (text) , theme (text) , sales (number) , journal_id (number) | journal_committee : journal_id (number)", "shrink-score": 0.5}
{"db_id": "journal_committee", "question": "What is the average sales of the journals that have an editor whose work type is 'Photo'?", "schema": "journal : journal_id (number) , date (text) , theme (text) , sales (number) | editor : editor_id (number) , name (text) , age (number) | journal_committee : editor_id (number) , journal_id (number) , work_type (text)", "summarized-schema": "journal : sales (number) , journal_id (number) | journal_committee : journal_id (number) , work_type (text)", "shrink-score": 0.6}
{"db_id": "customers_card_transactions", "question": "How many accounts do we have?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : account_id (number)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "Count the number of accounts.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : account_id (number)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "Show ids, customer ids, names for all accounts.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : account_id (number) , customer_id (number) , account_name (text)", "shrink-score": 0.8888888888888888}
{"db_id": "customers_card_transactions", "question": "What are the account ids, customer ids, and account names for all the accounts?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : account_id (number) , customer_id (number) , account_name (text)", "shrink-score": 0.8888888888888888}
{"db_id": "customers_card_transactions", "question": "Show other account details for account with name 338.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : other_account_details (text) , account_name (text)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "What are the other account details for the account with the name 338?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : other_account_details (text) , account_name (text)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "What is the first name, last name, and phone of the customer with account name 162?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_first_name (text) , customer_last_name (text) , customer_phone (text) , customer_id (number) | accounts : customer_id (number) , account_name (text)", "shrink-score": 0.7777777777777778}
{"db_id": "customers_card_transactions", "question": "Give the full name and phone of the customer who has the account name 162.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_first_name (text) , customer_last_name (text) , customer_phone (text) , customer_id (number) | accounts : customer_id (number) , account_name (text)", "shrink-score": 0.7777777777777778}
{"db_id": "customers_card_transactions", "question": "How many accounts does the customer with first name Art and last name Turcotte have?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : customer_id (number) , account_id (number) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text)", "shrink-score": 0.8148148148148148}
{"db_id": "customers_card_transactions", "question": "Return the number of accounts that the customer with the first name Art and last name Turcotte has.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : customer_id (number) , account_id (number) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text)", "shrink-score": 0.8148148148148148}
{"db_id": "customers_card_transactions", "question": "Show all customer ids and the number of accounts for each customer.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : customer_id (number) , account_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "How many accounts are there for each customer id?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : customer_id (number) , account_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "Show the customer id and number of accounts with most accounts.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : customer_id (number) , account_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "What is the customer id of the customer with the most accounts, and how many accounts does this person have?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : customer_id (number) , account_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "What is the customer first, last name and id with least number of accounts.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_first_name (text) , customer_last_name (text) , customer_id (number) | accounts : customer_id (number) , account_id (number)", "shrink-score": 0.8148148148148148}
{"db_id": "customers_card_transactions", "question": "Give the full name and customer id of the customer with the fewest accounts.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_first_name (text) , customer_last_name (text) , customer_id (number) | accounts : customer_id (number) , account_id (number)", "shrink-score": 0.8148148148148148}
{"db_id": "customers_card_transactions", "question": "Show the number of all customers without an account.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : customer_id (number) , account_id (number) | customers : customer_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "customers_card_transactions", "question": "How many customers do not have an account?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : customer_id (number) , account_id (number) | customers : customer_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "customers_card_transactions", "question": "Show the first names and last names of customers without any account.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_first_name (text) , customer_last_name (text) , customer_id (number) | accounts : customer_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "customers_card_transactions", "question": "What are the full names of customers who do not have any accounts?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_first_name (text) , customer_last_name (text) , customer_id (number) | accounts : customer_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "customers_card_transactions", "question": "Show distinct first and last names for all customers with an account.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_first_name (text) , customer_last_name (text) , customer_id (number) | accounts : customer_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "customers_card_transactions", "question": "What are the full names of customers who have accounts?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_first_name (text) , customer_last_name (text) , customer_id (number) | accounts : customer_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "customers_card_transactions", "question": "How many customers have an account?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : customer_id (number)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "Count the number of customers who hold an account.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "accounts : customer_id (number)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "How many customers do we have?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_id (number)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "Count the number of customers.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_id (number)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "Show ids, first names, last names, and phones for all customers.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_phone (text)", "shrink-score": 0.8518518518518519}
{"db_id": "customers_card_transactions", "question": "What are the ids, full names, and phones of each customer?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_phone (text)", "shrink-score": 0.8518518518518519}
{"db_id": "customers_card_transactions", "question": "What is the phone and email for customer with first name Aniyah and last name Feest?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_phone (text) , customer_email (text) , customer_first_name (text) , customer_last_name (text)", "shrink-score": 0.8518518518518519}
{"db_id": "customers_card_transactions", "question": "Return the phone and email of the customer with the first name Aniyah and last name Feest.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_phone (text) , customer_email (text) , customer_first_name (text) , customer_last_name (text)", "shrink-score": 0.8518518518518519}
{"db_id": "customers_card_transactions", "question": "Show the number of customer cards.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_id (number)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "How many customer cards are there?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_id (number)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "Show ids, customer ids, card type codes, card numbers for all cards.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text)", "shrink-score": 0.8518518518518519}
{"db_id": "customers_card_transactions", "question": "What are card ids, customer ids, card types, and card numbers for each customer card?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text)", "shrink-score": 0.8518518518518519}
{"db_id": "customers_card_transactions", "question": "Show the date valid from and the date valid to for the card with card number '4560596484842'.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : date_valid_from (time) , date_valid_to (time) , card_number (text)", "shrink-score": 0.8888888888888888}
{"db_id": "customers_card_transactions", "question": "What are the valid from and valid to dates for the card with the number 4560596484842?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : date_valid_from (time) , date_valid_to (time) , card_number (text)", "shrink-score": 0.8888888888888888}
{"db_id": "customers_card_transactions", "question": "What is the first name, last name, and phone of the customer with card 4560596484842.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_first_name (text) , customer_last_name (text) , customer_phone (text) , customer_id (number) | customers_cards : customer_id (number) , card_number (text)", "shrink-score": 0.7777777777777778}
{"db_id": "customers_card_transactions", "question": "Return the full name and phone of the customer who has card number 4560596484842.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_first_name (text) , customer_last_name (text) , customer_phone (text) , customer_id (number) | customers_cards : customer_id (number) , card_number (text)", "shrink-score": 0.7777777777777778}
{"db_id": "customers_card_transactions", "question": "How many cards does customer Art Turcotte have?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) | customers_cards : customer_id (number) , card_id (number)", "shrink-score": 0.8148148148148148}
{"db_id": "customers_card_transactions", "question": "Count the number of cards the customer with the first name Art and last name Turcotte has.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) | customers_cards : customer_id (number) , card_id (number)", "shrink-score": 0.8148148148148148}
{"db_id": "customers_card_transactions", "question": "How many debit cards do we have?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text) , card_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "Count the number of customer cards of the type Debit.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text) , card_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "How many credit cards does customer Blanche Huels have?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) | customers_cards : customer_id (number) , card_type_code (text) , card_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "customers_card_transactions", "question": "Count the number of credit cards that the customer with first name Blanche and last name Huels has.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) | customers_cards : customer_id (number) , card_type_code (text) , card_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "customers_card_transactions", "question": "Show all customer ids and the number of cards owned by each customer.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : customer_id (number) , card_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "What are the different customer ids, and how many cards does each one hold?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : customer_id (number) , card_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "What is the customer id with most number of cards, and how many does he have?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : customer_id (number) , card_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "Return the id of the customer who has the most cards, as well as the number of cards.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : customer_id (number) , card_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "Show id, first and last names for all customers with at least two cards.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) | customers_cards : customer_id (number) , card_id (number)", "shrink-score": 0.8148148148148148}
{"db_id": "customers_card_transactions", "question": "What are the ids and full names of customers who hold two or more cards?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) | customers_cards : customer_id (number) , card_id (number)", "shrink-score": 0.8148148148148148}
{"db_id": "customers_card_transactions", "question": "What is the customer id, first and last name with least number of accounts.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) | customers_cards : customer_id (number) , card_id (number)", "shrink-score": 0.8148148148148148}
{"db_id": "customers_card_transactions", "question": "Return the id and full name of the customer who has the fewest accounts.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) | customers_cards : customer_id (number) , card_id (number)", "shrink-score": 0.8148148148148148}
{"db_id": "customers_card_transactions", "question": "Show all card type codes and the number of cards in each type.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text) , card_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "What are the different card types, and how many cards are there of each?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text) , card_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "What is the card type code with most number of cards?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text) , card_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "Return the code of the card type that is most common.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text) , card_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "Show card type codes with at least 5 cards.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text) , card_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "What are the codes of card types that have 5 or more cards?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text) , card_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "Show all card type codes and the number of customers holding cards in each type.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text) , customer_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "What are the different card type codes, and how many different customers hold each type?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text) , customer_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "Show the customer ids and firstname without a credit card.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) | customers_cards : customer_id (number) , card_type_code (text)", "shrink-score": 0.8518518518518519}
{"db_id": "customers_card_transactions", "question": "What are the ids and first names of customers who do not hold a credit card?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) | customers_cards : customer_id (number) , card_type_code (text)", "shrink-score": 0.8518518518518519}
{"db_id": "customers_card_transactions", "question": "Show all card type codes.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "What are the different card type codes?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "Show the number of card types.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "How many different card types are there?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "Show all transaction types.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "financial_transactions : transaction_type (text)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "What are the different types of transactions?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "financial_transactions : transaction_type (text)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "Show the number of transaction types.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "financial_transactions : transaction_type (text)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "How many different types of transactions are there?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "financial_transactions : transaction_type (text)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "What is the average and total transaction amount?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "financial_transactions : transaction_amount (number)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "Return the average transaction amount, as well as the total amount of all transactions.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "financial_transactions : transaction_amount (number)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "Show the card type codes and the number of transactions.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text) , card_id (number) | financial_transactions : card_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "customers_card_transactions", "question": "What are the different card types, and how many transactions have been made with each?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "customers_cards : card_type_code (text) , card_id (number) | financial_transactions : card_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "customers_card_transactions", "question": "Show the transaction type and the number of transactions.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "financial_transactions : transaction_type (text)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "What are the different transaction types, and how many transactions of each have taken place?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "financial_transactions : transaction_type (text)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "What is the transaction type that has processed the greatest total amount in transactions?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "financial_transactions : transaction_type (text) , transaction_amount (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "Return the type of transaction with the highest total amount.", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "financial_transactions : transaction_type (text) , transaction_amount (number)", "shrink-score": 0.9259259259259259}
{"db_id": "customers_card_transactions", "question": "Show the account id and the number of transactions for each account", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "financial_transactions : account_id (number)", "shrink-score": 0.9629629629629629}
{"db_id": "customers_card_transactions", "question": "What are the different account ids that have made financial transactions, as well as how many transactions correspond to each?", "schema": "accounts : account_id (number) , customer_id (number) , account_name (text) , other_account_details (text) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) , other_customer_details (text) | customers_cards : card_id (number) , customer_id (number) , card_type_code (text) , card_number (text) , date_valid_from (time) , date_valid_to (time) , other_card_details (text) | financial_transactions : transaction_id (number) , previous_transaction_id (number) , account_id (number) , card_id (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text)", "summarized-schema": "financial_transactions : account_id (number)", "shrink-score": 0.9629629629629629}
{"db_id": "race_track", "question": "How many tracks do we have?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : track_id (text)", "shrink-score": 0.9}
{"db_id": "race_track", "question": "Count the number of tracks.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : track_id (text)", "shrink-score": 0.9}
{"db_id": "race_track", "question": "Show the name and location for all tracks.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : name (text) , location (text)", "shrink-score": 0.8}
{"db_id": "race_track", "question": "What are the names and locations of all tracks?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : name (text) , location (text)", "shrink-score": 0.8}
{"db_id": "race_track", "question": "Show names and seatings, ordered by seating for all tracks opened after 2000.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : name (text) , seating (number) , year_opened (number)", "shrink-score": 0.7}
{"db_id": "race_track", "question": "What are the names and seatings for all tracks opened after 2000, ordered by seating?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : name (text) , seating (number) , year_opened (number)", "shrink-score": 0.7}
{"db_id": "race_track", "question": "What is the name, location and seating for the most recently opened track?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : name (text) , location (text) , seating (number) , year_opened (number)", "shrink-score": 0.6}
{"db_id": "race_track", "question": "Return the name, location, and seating of the track that was opened in the most recent year.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : name (text) , location (text) , seating (number) , year_opened (number)", "shrink-score": 0.6}
{"db_id": "race_track", "question": "What is the minimum, maximum, and average seating for all tracks.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : seating (number)", "shrink-score": 0.9}
{"db_id": "race_track", "question": "Return the minimum, maximum, and average seating across all tracks.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : seating (number)", "shrink-score": 0.9}
{"db_id": "race_track", "question": "Show the name, location, open year for all tracks with a seating higher than the average.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : name (text) , location (text) , year_opened (number) , seating (number)", "shrink-score": 0.6}
{"db_id": "race_track", "question": "What are the names, locations, and years of opening for tracks with seating higher than average?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : name (text) , location (text) , year_opened (number) , seating (number)", "shrink-score": 0.6}
{"db_id": "race_track", "question": "What are distinct locations where tracks are located?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : location (text)", "shrink-score": 0.9}
{"db_id": "race_track", "question": "Give the different locations of tracks.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : location (text)", "shrink-score": 0.9}
{"db_id": "race_track", "question": "How many races are there?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : race_id (number)", "shrink-score": 0.9}
{"db_id": "race_track", "question": "Count the number of races.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : race_id (number)", "shrink-score": 0.9}
{"db_id": "race_track", "question": "What are the distinct classes that races can have?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : class (text)", "shrink-score": 0.9}
{"db_id": "race_track", "question": "Return the different classes of races.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : class (text)", "shrink-score": 0.9}
{"db_id": "race_track", "question": "Show name, class, and date for all races.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : name (text) , class (text) , date (text)", "shrink-score": 0.7}
{"db_id": "race_track", "question": "What are the names, classes, and dates for all races?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : name (text) , class (text) , date (text)", "shrink-score": 0.7}
{"db_id": "race_track", "question": "Show the race class and number of races in each class.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : class (text) , race_id (number)", "shrink-score": 0.8}
{"db_id": "race_track", "question": "What are the different classes of races, and how many races correspond to each?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : class (text) , race_id (number)", "shrink-score": 0.8}
{"db_id": "race_track", "question": "What is the race class with most number of races.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : class (text) , race_id (number)", "shrink-score": 0.8}
{"db_id": "race_track", "question": "Give the class of races that is most common.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : class (text) , race_id (number)", "shrink-score": 0.8}
{"db_id": "race_track", "question": "List the race class with at least two races.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : class (text) , race_id (number)", "shrink-score": 0.8}
{"db_id": "race_track", "question": "What are the classes of races that have two or more corresponding races?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : class (text) , race_id (number)", "shrink-score": 0.8}
{"db_id": "race_track", "question": "What are the names for tracks without a race in class 'GT'.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : name (text) , track_id (text) , class (text) | track : name (text) , track_id (number)", "shrink-score": 0.5}
{"db_id": "race_track", "question": "Give the names of tracks that do not have a race in the class 'GT'.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : name (text) , track_id (text) , class (text) | track : name (text) , track_id (number)", "shrink-score": 0.5}
{"db_id": "race_track", "question": "Show all track names that have had no races.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : name (text) , track_id (text) | track : name (text) , track_id (number)", "shrink-score": 0.6}
{"db_id": "race_track", "question": "Return the names of tracks that have no had any races.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : name (text) , track_id (text) | track : name (text) , track_id (number)", "shrink-score": 0.6}
{"db_id": "race_track", "question": "Show year where a track with a seating at least 5000 opened and a track with seating no more than 4000 opened.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : year_opened (number) , seating (number)", "shrink-score": 0.8}
{"db_id": "race_track", "question": "What are the years of opening for tracks with seating between 4000 and 5000?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : year_opened (number) , seating (number)", "shrink-score": 0.8}
{"db_id": "race_track", "question": "Show the name of track and the number of races in each track.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : name (text) , track_id (text) , race_id (number) | track : name (text) , track_id (number) , track_id (text)", "shrink-score": 0.4}
{"db_id": "race_track", "question": "What are the names of different tracks, and how many races has each had?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : name (text) , track_id (text) , race_id (number) | track : name (text) , track_id (number) , track_id (text)", "shrink-score": 0.4}
{"db_id": "race_track", "question": "Show the name of track with most number of races.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : name (text) , track_id (text) , race_id (number) | track : name (text) , track_id (number) , track_id (text)", "shrink-score": 0.4}
{"db_id": "race_track", "question": "What is the name of the track that has had the greatest number of races?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : name (text) , track_id (text) , race_id (number) | track : name (text) , track_id (number) , track_id (text)", "shrink-score": 0.4}
{"db_id": "race_track", "question": "Show the name and date for each race and its track name.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : name (text) , date (text) , track_id (text) | track : name (text) , track_id (number)", "shrink-score": 0.5}
{"db_id": "race_track", "question": "What are the names and dates of races, and the names of the tracks where they are held?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : name (text) , date (text) , track_id (text) | track : name (text) , track_id (number)", "shrink-score": 0.5}
{"db_id": "race_track", "question": "Show the name and location of track with 1 race.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : name (text) , track_id (text) , race_id (number) | track : name (text) , location (text) , track_id (number) , track_id (text)", "shrink-score": 0.3}
{"db_id": "race_track", "question": "What are the names and locations of tracks that have had exactly 1 race?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "race : name (text) , track_id (text) , race_id (number) | track : name (text) , location (text) , track_id (number) , track_id (text)", "shrink-score": 0.3}
{"db_id": "race_track", "question": "Find the locations where have both tracks with more than 90000 seats and tracks with less than 70000 seats.", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : location (text) , seating (number)", "shrink-score": 0.8}
{"db_id": "race_track", "question": "What are the locations that have both tracks with more than 90000 seats, and tracks with fewer than 70000 seats?", "schema": "race : race_id (number) , name (text) , class (text) , date (text) , track_id (text) | track : track_id (number) , name (text) , location (text) , seating (number) , year_opened (number)", "summarized-schema": "track : location (text) , seating (number)", "shrink-score": 0.8}
{"db_id": "coffee_shop", "question": "How many members have the black membership card?", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "member : membership_card (text) , member_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "coffee_shop", "question": "Find the number of members living in each address.", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "member : address (text) , member_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "coffee_shop", "question": "Give me the names of members whose address is in Harford or Waterbury.", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "member : name (text) , address (text)", "shrink-score": 0.8947368421052632}
{"db_id": "coffee_shop", "question": "Find the ids and names of members who are under age 30 or with black membership card.", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "member : name (text) , member_id (number) , membership_card (text) , age (number)", "shrink-score": 0.7894736842105263}
{"db_id": "coffee_shop", "question": "Find the purchase time, age and address of each member, and show the results in the order of purchase time.", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "member : time_of_purchase (number) , age (number) , address (text)", "shrink-score": 0.8421052631578947}
{"db_id": "coffee_shop", "question": "Which membership card has more than 5 members?", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "member : membership_card (text) , member_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "coffee_shop", "question": "Which address has both members younger than 30 and members older than 40?", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "member : address (text) , age (number)", "shrink-score": 0.8947368421052632}
{"db_id": "coffee_shop", "question": "What is the membership card held by both members living in Hartford and ones living in Waterbury address?", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "member : membership_card (text) , address (text)", "shrink-score": 0.8947368421052632}
{"db_id": "coffee_shop", "question": "How many members are not living in Hartford?", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "member : address (text) , member_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "coffee_shop", "question": "Which address do not have any member with the black membership card?", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "member : address (text) , membership_card (text)", "shrink-score": 0.8947368421052632}
{"db_id": "coffee_shop", "question": "Show the shop addresses ordered by their opening year.", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "shop : address (text) , open_year (text)", "shrink-score": 0.8947368421052632}
{"db_id": "coffee_shop", "question": "What are the average score and average staff number of all shops?", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "shop : num_of_staff (text) , score (number)", "shrink-score": 0.8947368421052632}
{"db_id": "coffee_shop", "question": "Find the id and address of the shops whose score is below the average score.", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "shop : shop_id (number) , address (text) , score (number)", "shrink-score": 0.8421052631578947}
{"db_id": "coffee_shop", "question": "Find the address and staff number of the shops that do not have any happy hour.", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "shop : address (text) , num_of_staff (text) , shop_id (number) | happy_hour : shop_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "coffee_shop", "question": "What are the id and address of the shops which have a happy hour in May?", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "shop : address (text) , shop_id (number) | happy_hour : shop_id (number) , month (text)", "shrink-score": 0.7894736842105263}
{"db_id": "coffee_shop", "question": "which shop has happy hour most frequently? List its id and number of happy hours.", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "happy_hour : shop_id (number) , hh_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "coffee_shop", "question": "Which month has the most happy hours?", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "happy_hour : month (text) , hh_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "coffee_shop", "question": "Which months have more than 2 happy hours?", "schema": "shop : shop_id (number) , address (text) , num_of_staff (text) , score (number) , open_year (text) | member : member_id (number) , name (text) , membership_card (text) , age (number) , time_of_purchase (number) , level_of_membership (number) , address (text) | happy_hour : hh_id (number) , shop_id (number) , month (text) , num_of_shaff_in_charge (number) | happy_hour_member : hh_id (number) , member_id (number) , total_amount (number)", "summarized-schema": "happy_hour : month (text) , hh_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "chinook_1", "question": "How many albums are there?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : albumid (number)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "Find the number of albums.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : albumid (number)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "List the names of all music genres.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "genre : name (text)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "What are the names of different music genres?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "genre : name (text)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "Find all the customer information in state NY.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : state (text) , customerid (number)", "shrink-score": 0.96875}
{"db_id": "chinook_1", "question": "What is all the customer information for customers in NY state?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : state (text) , customerid (number)", "shrink-score": 0.96875}
{"db_id": "chinook_1", "question": "What are the first names and last names of the employees who live in Calgary city.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "employee : firstname (text) , lastname (text) , city (text)", "shrink-score": 0.953125}
{"db_id": "chinook_1", "question": "Find the full names of employees living in the city of Calgary.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "employee : firstname (text) , lastname (text) , city (text)", "shrink-score": 0.953125}
{"db_id": "chinook_1", "question": "What are the distinct billing countries of the invoices?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "invoice : billingcountry (text)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "Find the different billing countries for all invoices.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "invoice : billingcountry (text)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "Find the names of all artists that have \"a\" in their names.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "artist : name (text)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "What are the names of artist who have the letter 'a' in their names?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "artist : name (text)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "Find the title of all the albums of the artist \"AC/DC\".", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : title (text) , artistid (number) | artist : artistid (number) , name (text)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "What are the titles of albums by the artist \"AC/DC\"?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : title (text) , artistid (number) | artist : artistid (number) , name (text)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "Hom many albums does the artist \"Metallica\" have?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : artistid (number) , albumid (number) | artist : artistid (number) , name (text)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "Find the number of albums by the artist \"Metallica\".", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : artistid (number) , albumid (number) | artist : artistid (number) , name (text)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "Which artist does the album \"Balls to the Wall\" belong to?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "artist : name (text) , artistid (number) | album : artistid (number) , title (text)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "Find the name of the artist who made the album \"Balls to the Wall\".", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "artist : name (text) , artistid (number) | album : artistid (number) , title (text)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "Which artist has the most albums?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "artist : name (text) , artistid (number) | album : artistid (number) , albumid (number)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "What is the name of the artist with the greatest number of albums?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "artist : name (text) , artistid (number) | album : artistid (number) , albumid (number)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "Find the names of all the tracks that contain the word \"you\".", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : name (text)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "What are the names of tracks that contain the the word you in them?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : name (text)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "What is the average unit price of all the tracks?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : unitprice (number)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "Find the average unit price for a track.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : unitprice (number)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "What are the durations of the longest and the shortest tracks in milliseconds?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : milliseconds (number)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "Find the maximum and minimum durations of tracks in milliseconds.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : milliseconds (number)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "Show the album names, ids and the number of tracks for each album.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : title (text) , albumid (number) | track : albumid (number) , trackid (number)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "What are the names and ids of the different albums, and how many tracks are on each?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : title (text) , albumid (number) | track : albumid (number) , trackid (number)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "What is the name of the most common genre in all tracks?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "genre : name (text) , genreid (number) | track : name (text) , genreid (number) , trackid (number)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "Find the name of the genre that is most frequent across all tracks.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "genre : name (text) , genreid (number) | track : name (text) , genreid (number) , trackid (number)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "What is the least common media type in all tracks?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "mediatype : name (text) , mediatypeid (number) | track : name (text) , mediatypeid (number) , trackid (number)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "What is the name of the media type that is least common across all tracks?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "mediatype : name (text) , mediatypeid (number) | track : name (text) , mediatypeid (number) , trackid (number)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "Show the album names and ids for albums that contain tracks with unit price bigger than 1.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : title (text) , albumid (number) | track : albumid (number) , unitprice (number)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "What are the titles and ids for albums containing tracks with unit price greater than 1?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : title (text) , albumid (number) | track : albumid (number) , unitprice (number)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "How many tracks belong to rock genre?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "genre : genreid (number) , name (text) | track : genreid (number) , name (text) , trackid (number)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "Count the number of tracks that are part of the rock genre.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "genre : genreid (number) , name (text) | track : genreid (number) , name (text) , trackid (number)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "What is the average unit price of tracks that belong to Jazz genre?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : unitprice (number) , genreid (number) , name (text) | genre : genreid (number) , name (text)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "Find the average unit price of jazz tracks.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : unitprice (number) , genreid (number) , name (text) | genre : genreid (number) , name (text)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "What is the first name and last name of the customer that has email \"luisg@embraer.com.br\"?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : firstname (text) , lastname (text) , email (text)", "shrink-score": 0.953125}
{"db_id": "chinook_1", "question": "Find the full name of the customer with the email \"luisg@embraer.com.br\".", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : firstname (text) , lastname (text) , email (text)", "shrink-score": 0.953125}
{"db_id": "chinook_1", "question": "How many customers have email that contains \"gmail.com\"?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : email (text) , customerid (number)", "shrink-score": 0.96875}
{"db_id": "chinook_1", "question": "Count the number of customers that have an email containing \"gmail.com\".", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : email (text) , customerid (number)", "shrink-score": 0.96875}
{"db_id": "chinook_1", "question": "What is the first name and last name employee helps the customer with first name Leonie?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : firstname (text) , lastname (text) , supportrepid (number) | employee : firstname (text) , lastname (text) , employeeid (number)", "shrink-score": 0.90625}
{"db_id": "chinook_1", "question": "Find the full names of employees who help customers with the first name Leonie.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : firstname (text) , lastname (text) , supportrepid (number) | employee : firstname (text) , lastname (text) , employeeid (number)", "shrink-score": 0.90625}
{"db_id": "chinook_1", "question": "What city does the employee who helps the customer with postal code 70174 live in?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : city (text) , supportrepid (number) , postalcode (text) | employee : city (text) , employeeid (number) , postalcode (text)", "shrink-score": 0.90625}
{"db_id": "chinook_1", "question": "Find the cities corresponding to employees who help customers with the postal code 70174.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : city (text) , supportrepid (number) , postalcode (text) | employee : city (text) , employeeid (number) , postalcode (text)", "shrink-score": 0.90625}
{"db_id": "chinook_1", "question": "How many distinct cities does the employees live in?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "employee : city (text)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "Find the number of different cities that employees live in.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "employee : city (text)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "Find all invoice dates corresponding to customers with first name Astrid and last name Gruber.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "invoice : invoicedate (time) , customerid (number) | customer : customerid (number) , firstname (text) , lastname (text)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "What are the invoice dates for customers with the first name Astrid and the last name Gruber?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "invoice : invoicedate (time) , customerid (number) | customer : customerid (number) , firstname (text) , lastname (text)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "Find all the customer last names that do not have invoice totals larger than 20.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : lastname (text) , customerid (number) | invoice : customerid (number) , total (number)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "What are the last names of customers without invoice totals exceeding 20?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : lastname (text) , customerid (number) | invoice : customerid (number) , total (number)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "Find the first names of all customers that live in Brazil and have an invoice.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : firstname (text) , customerid (number) , country (text) | invoice : customerid (number)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "What are the different first names for customers from Brazil who have also had an invoice?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : firstname (text) , customerid (number) , country (text) | invoice : customerid (number)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "Find the address of all customers that live in Germany and have invoice.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : address (text) , customerid (number) , country (text) | invoice : customerid (number)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "What are the addresses of customers living in Germany who have had an invoice?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : address (text) , customerid (number) , country (text) | invoice : customerid (number)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "List the phone numbers of all employees.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "employee : phone (text)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "What are the phone numbers for each employee?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "employee : phone (text)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "How many tracks are in the AAC audio file media type?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "mediatype : mediatypeid (number) , name (text) | track : mediatypeid (number) , name (text) , trackid (number)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "Count the number of tracks that are of the media type \"AAC audio file\".", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "mediatype : mediatypeid (number) , name (text) | track : mediatypeid (number) , name (text) , trackid (number)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "What is the average duration in milliseconds of tracks that belong to Latin or Pop genre?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : milliseconds (number) , genreid (number) , name (text) | genre : genreid (number) , name (text)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "Find the average millisecond length of Latin and Pop tracks.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : milliseconds (number) , genreid (number) , name (text) | genre : genreid (number) , name (text)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "Please show the employee first names and ids of employees who serve at least 10 customers.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : firstname (text) , supportrepid (number) , customerid (number) | employee : firstname (text) , employeeid (number)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "What are the first names and support rep ids for employees serving 10 or more customers?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : firstname (text) , supportrepid (number) , customerid (number) | employee : firstname (text) , employeeid (number)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "Please show the employee last names that serves no more than 20 customers.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : lastname (text) , supportrepid (number) , customerid (number) | employee : lastname (text) , employeeid (number)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "What are the last names of employees who serve at most 20 customers?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "customer : lastname (text) , supportrepid (number) , customerid (number) | employee : lastname (text) , employeeid (number)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "Please list all album titles in alphabetical order.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : title (text)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "What are all the album titles, in alphabetical order?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : title (text)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "Please list the name and id of all artists that have at least 3 albums in alphabetical order.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "artist : name (text) , artistid (number) | album : artistid (number) , albumid (number)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "What are the names and ids of artists with 3 or more albums, listed in alphabetical order?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "artist : name (text) , artistid (number) | album : artistid (number) , albumid (number)", "shrink-score": 0.9375}
{"db_id": "chinook_1", "question": "Find the names of artists that do not have any albums.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "artist : name (text) , artistid (number) | album : artistid (number)", "shrink-score": 0.953125}
{"db_id": "chinook_1", "question": "What are the names of artists who have not released any albums?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "artist : name (text) , artistid (number) | album : artistid (number)", "shrink-score": 0.953125}
{"db_id": "chinook_1", "question": "What is the average unit price of rock tracks?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : unitprice (number) , genreid (number) , name (text) | genre : genreid (number) , name (text)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "Find the average unit price of tracks from the Rock genre.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : unitprice (number) , genreid (number) , name (text) | genre : genreid (number) , name (text)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "What are the duration of the longest and shortest pop tracks in milliseconds?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : milliseconds (number) , genreid (number) , name (text) | genre : genreid (number) , name (text)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "Find the maximum and minimum millisecond lengths of pop tracks.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : milliseconds (number) , genreid (number) , name (text) | genre : genreid (number) , name (text)", "shrink-score": 0.921875}
{"db_id": "chinook_1", "question": "What are the birth dates of employees living in Edmonton?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "employee : birthdate (time) , city (text)", "shrink-score": 0.96875}
{"db_id": "chinook_1", "question": "Find the birth dates corresponding to employees who live in the city of Edmonton.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "employee : birthdate (time) , city (text)", "shrink-score": 0.96875}
{"db_id": "chinook_1", "question": "What are the distinct unit prices of all tracks?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : unitprice (number)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "Find the distinct unit prices for tracks.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "track : unitprice (number)", "shrink-score": 0.984375}
{"db_id": "chinook_1", "question": "How many artists do not have any album?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : artistid (number) , albumid (number) | artist : artistid (number)", "shrink-score": 0.953125}
{"db_id": "chinook_1", "question": "Cound the number of artists who have not released an album.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : artistid (number) , albumid (number) | artist : artistid (number)", "shrink-score": 0.953125}
{"db_id": "chinook_1", "question": "What are the album titles for albums containing both 'Reggae' and 'Rock' genre tracks?", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : title (text) , albumid (number) | track : albumid (number) , genreid (number) , name (text) | genre : genreid (number) , name (text)", "shrink-score": 0.890625}
{"db_id": "chinook_1", "question": "Find the titles of albums that contain tracks of both the Reggae and Rock genres.", "schema": "album : albumid (number) , title (text) , artistid (number) | artist : artistid (number) , name (text) | customer : customerid (number) , firstname (text) , lastname (text) , company (text) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) , supportrepid (number) | employee : employeeid (number) , lastname (text) , firstname (text) , title (text) , reportsto (number) , birthdate (time) , hiredate (time) , address (text) , city (text) , state (text) , country (text) , postalcode (text) , phone (text) , fax (text) , email (text) | genre : genreid (number) , name (text) | invoice : invoiceid (number) , customerid (number) , invoicedate (time) , billingaddress (text) , billingcity (text) , billingstate (text) , billingcountry (text) , billingpostalcode (text) , total (number) | invoiceline : invoicelineid (number) , invoiceid (number) , trackid (number) , unitprice (number) , quantity (number) | mediatype : mediatypeid (number) , name (text) | playlist : playlistid (number) , name (text) | playlisttrack : playlistid (number) , trackid (number) | track : trackid (number) , name (text) , albumid (number) , mediatypeid (number) , genreid (number) , composer (text) , milliseconds (number) , bytes (number) , unitprice (number)", "summarized-schema": "album : title (text) , albumid (number) | track : albumid (number) , genreid (number) , name (text) | genre : genreid (number) , name (text)", "shrink-score": 0.890625}
{"db_id": "insurance_fnol", "question": "Find all the phone numbers.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "available_policies : customer_phone (text)", "shrink-score": 0.9545454545454546}
{"db_id": "insurance_fnol", "question": "What are all the phone numbers?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "available_policies : customer_phone (text)", "shrink-score": 0.9545454545454546}
{"db_id": "insurance_fnol", "question": "What are the customer phone numbers under the policy \"Life Insurance\"?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "available_policies : customer_phone (text) , policy_type_code (text)", "shrink-score": 0.9090909090909091}
{"db_id": "insurance_fnol", "question": "What are the phone numbers of customers using the policy with the code \"Life Insurance\"?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "available_policies : customer_phone (text) , policy_type_code (text)", "shrink-score": 0.9090909090909091}
{"db_id": "insurance_fnol", "question": "Which policy type has the most records in the database?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "available_policies : policy_type_code (text) , policy_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "insurance_fnol", "question": "Which policy type appears most frequently in the available policies?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "available_policies : policy_type_code (text) , policy_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "insurance_fnol", "question": "What are all the customer phone numbers under the most popular policy type?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "available_policies : customer_phone (text) , policy_type_code (text) , policy_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "insurance_fnol", "question": "Find the phone numbers of customers using the most common policy type among the available policies.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "available_policies : customer_phone (text) , policy_type_code (text) , policy_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "insurance_fnol", "question": "Find the policy type used by more than 4 customers.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "available_policies : policy_type_code (text) , policy_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "insurance_fnol", "question": "Find the policy types more than 4 customers use. Show their type code.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "available_policies : policy_type_code (text) , policy_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "insurance_fnol", "question": "Find the total and average amount of settlements.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "settlements : settlement_amount (number)", "shrink-score": 0.9545454545454546}
{"db_id": "insurance_fnol", "question": "Return the sum and average of all settlement amounts.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "settlements : settlement_amount (number)", "shrink-score": 0.9545454545454546}
{"db_id": "insurance_fnol", "question": "Find the name of services that have been used for more than 2 times in first notification of loss.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "services : service_name (text) , service_id (number) | first_notification_of_loss : service_id (number) , fnol_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "insurance_fnol", "question": "Which services have been used more than twice in first notification of loss? Return the service name.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "services : service_name (text) , service_id (number) | first_notification_of_loss : service_id (number) , fnol_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "insurance_fnol", "question": "What is the effective date of the claim that has the largest amount of total settlement?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "claims : effective_date (time) , claim_id (number) | settlements : effective_date (time) , claim_id (number) , settlement_amount (number)", "shrink-score": 0.7727272727272727}
{"db_id": "insurance_fnol", "question": "Find the claim that has the largest total settlement amount. Return the effective date of the claim.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "claims : effective_date (time) , claim_id (number) | settlements : effective_date (time) , claim_id (number) , settlement_amount (number)", "shrink-score": 0.7727272727272727}
{"db_id": "insurance_fnol", "question": "How many policies are listed for the customer named \"Dayana Robel\"?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers : customer_id (number) , customer_name (text) | customers_policies : customer_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "insurance_fnol", "question": "Count the total number of policies used by the customer named \"Dayana Robel\".", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers : customer_id (number) , customer_name (text) | customers_policies : customer_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "insurance_fnol", "question": "What is the name of the customer who has the most policies listed?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customers_policies : customer_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "insurance_fnol", "question": "Which customer uses the most policies? Give me the customer name.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customers_policies : customer_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "insurance_fnol", "question": "What are all the policy types of the customer named \"Dayana Robel\"?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "available_policies : policy_type_code (text) , policy_id (number) | customers : customer_id (number) , customer_name (text) | customers_policies : customer_id (number) , policy_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "insurance_fnol", "question": "Tell me the types of the policy used by the customer named \"Dayana Robel\".", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "available_policies : policy_type_code (text) , policy_id (number) | customers : customer_id (number) , customer_name (text) | customers_policies : customer_id (number) , policy_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "insurance_fnol", "question": "What are all the policy types of the customer that has the most policies listed?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "available_policies : policy_type_code (text) , policy_id (number) | customers : customer_id (number) , customer_name (text) | customers_policies : customer_id (number) , policy_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "insurance_fnol", "question": "List all the policy types used by the customer enrolled in the most policies.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "available_policies : policy_type_code (text) , policy_id (number) | customers : customer_id (number) , customer_name (text) | customers_policies : customer_id (number) , policy_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "insurance_fnol", "question": "List all the services in the alphabetical order.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "services : service_name (text)", "shrink-score": 0.9545454545454546}
{"db_id": "insurance_fnol", "question": "Give me a list of all the service names sorted alphabetically.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "services : service_name (text)", "shrink-score": 0.9545454545454546}
{"db_id": "insurance_fnol", "question": "How many services are there?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "services : service_id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "insurance_fnol", "question": "Count the total number of available services.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "services : service_id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "insurance_fnol", "question": "Find the names of users who do not have a first notification of loss record.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | first_notification_of_loss : customer_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "insurance_fnol", "question": "Which customers do not have a first notification of loss record? Give me the customer names.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | first_notification_of_loss : customer_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "insurance_fnol", "question": "Find the names of customers who have used either the service \"Close a policy\" or the service \"Upgrade a policy\".", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | first_notification_of_loss : customer_id (number) , service_id (number) | services : service_id (number) , service_name (text)", "shrink-score": 0.7272727272727273}
{"db_id": "insurance_fnol", "question": "Which customers have used the service named \"Close a policy\" or \"Upgrade a policy\"? Give me the customer names.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | first_notification_of_loss : customer_id (number) , service_id (number) | services : service_id (number) , service_name (text)", "shrink-score": 0.7272727272727273}
{"db_id": "insurance_fnol", "question": "Find the names of customers who have used both the service \"Close a policy\" and the service \"New policy application\".", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | first_notification_of_loss : customer_id (number) , service_id (number) | services : service_id (number) , service_name (text)", "shrink-score": 0.7272727272727273}
{"db_id": "insurance_fnol", "question": "Which customers have used both the service named \"Close a policy\" and the service named \"Upgrade a policy\"? Give me the customer names.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | first_notification_of_loss : customer_id (number) , service_id (number) | services : service_id (number) , service_name (text)", "shrink-score": 0.7272727272727273}
{"db_id": "insurance_fnol", "question": "Find the IDs of customers whose name contains \"Diana\".", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers : customer_id (number) , customer_name (text)", "shrink-score": 0.9090909090909091}
{"db_id": "insurance_fnol", "question": "What are the IDs of customers who have \"Diana\" in part of their names?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers : customer_id (number) , customer_name (text)", "shrink-score": 0.9090909090909091}
{"db_id": "insurance_fnol", "question": "What are the maximum and minimum settlement amount on record?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "settlements : settlement_amount (number)", "shrink-score": 0.9545454545454546}
{"db_id": "insurance_fnol", "question": "Find the maximum and minimum settlement amount.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "settlements : settlement_amount (number)", "shrink-score": 0.9545454545454546}
{"db_id": "insurance_fnol", "question": "List all the customers in increasing order of IDs.", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers : customer_id (number) , customer_name (text)", "shrink-score": 0.9090909090909091}
{"db_id": "insurance_fnol", "question": "What is the ordered list of customer ids?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers : customer_id (number) , customer_name (text)", "shrink-score": 0.9090909090909091}
{"db_id": "insurance_fnol", "question": "Retrieve the open and close dates of all the policies associated with the customer whose name contains \"Diana\"", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers_policies : date_opened (time) , date_closed (time) , customer_id (number) | customers : customer_id (number) , customer_name (text)", "shrink-score": 0.7727272727272727}
{"db_id": "insurance_fnol", "question": "What are the open and close dates of all the policies used by the customer who have \"Diana\" in part of their names?", "schema": "customers : customer_id (number) , customer_name (text) | services : service_id (number) , service_name (text) | available_policies : policy_id (number) , policy_type_code (text) , customer_phone (text) | customers_policies : customer_id (number) , policy_id (number) , date_opened (time) , date_closed (time) | first_notification_of_loss : fnol_id (number) , customer_id (number) , policy_id (number) , service_id (number) | claims : claim_id (number) , fnol_id (number) , effective_date (time) | settlements : settlement_id (number) , claim_id (number) , effective_date (time) , settlement_amount (number)", "summarized-schema": "customers_policies : date_opened (time) , date_closed (time) , customer_id (number) | customers : customer_id (number) , customer_name (text)", "shrink-score": 0.7727272727272727}
{"db_id": "medicine_enzyme_interaction", "question": "How many kinds of enzymes are there?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "medicine_enzyme_interaction", "question": "What is the total count of enzymes?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "medicine_enzyme_interaction", "question": "List the name of enzymes in descending lexicographical order.", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : name (text)", "shrink-score": 0.9285714285714286}
{"db_id": "medicine_enzyme_interaction", "question": "What are the names of enzymes in descending order?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : name (text)", "shrink-score": 0.9285714285714286}
{"db_id": "medicine_enzyme_interaction", "question": "List the names and the locations that the enzymes can make an effect.", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : name (text) , location (text)", "shrink-score": 0.8571428571428571}
{"db_id": "medicine_enzyme_interaction", "question": "What are the names and locations of all enzymes listed?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : name (text) , location (text)", "shrink-score": 0.8571428571428571}
{"db_id": "medicine_enzyme_interaction", "question": "What is the maximum Online Mendelian Inheritance in Man (OMIM) value of the enzymes?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : omim (number)", "shrink-score": 0.9285714285714286}
{"db_id": "medicine_enzyme_interaction", "question": "What is the maximum OMIM value in the database?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : omim (number)", "shrink-score": 0.9285714285714286}
{"db_id": "medicine_enzyme_interaction", "question": "What is the product, chromosome and porphyria related to the enzymes which take effect at the location 'Cytosol'?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : product (text) , chromosome (text) , porphyria (text) , location (text)", "shrink-score": 0.7142857142857143}
{"db_id": "medicine_enzyme_interaction", "question": "What is the product, chromosome, and porphyria of the enzymes located at 'Cytosol'?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : product (text) , chromosome (text) , porphyria (text) , location (text)", "shrink-score": 0.7142857142857143}
{"db_id": "medicine_enzyme_interaction", "question": "What are the names of enzymes who does not produce 'Heme'?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : name (text) , product (text)", "shrink-score": 0.8571428571428571}
{"db_id": "medicine_enzyme_interaction", "question": "What are the names of enzymes whose product is not 'Heme'?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : name (text) , product (text)", "shrink-score": 0.8571428571428571}
{"db_id": "medicine_enzyme_interaction", "question": "What are the names and trade names of the medicines which has 'Yes' value in the FDA record?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : name (text) , trade_name (text) , fda_approved (text)", "shrink-score": 0.7857142857142857}
{"db_id": "medicine_enzyme_interaction", "question": "What are the names and trade names of the medcines that are FDA approved?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : name (text) , trade_name (text) , fda_approved (text)", "shrink-score": 0.7857142857142857}
{"db_id": "medicine_enzyme_interaction", "question": "What are the names of enzymes in the medicine named 'Amisulpride' that can serve as an 'inhibitor'?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : name (text) , id (number) | enzyme : name (text) , id (number) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "shrink-score": 0.5}
{"db_id": "medicine_enzyme_interaction", "question": "What are the names of the enzymes used in the medicine  Amisulpride that acts as inhibitors?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : name (text) , id (number) | enzyme : name (text) , id (number) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "shrink-score": 0.5}
{"db_id": "medicine_enzyme_interaction", "question": "What are the ids and names of the medicine that can interact with two or more enzymes?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : id (number) , name (text) | medicine_enzyme_interaction : medicine_id (number) , enzyme_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "medicine_enzyme_interaction", "question": "For every medicine id, what are the names of the medicines that can interact with more than one enzyme?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : id (number) , name (text) | medicine_enzyme_interaction : medicine_id (number) , enzyme_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "medicine_enzyme_interaction", "question": "What are the ids, names and FDA approval status of medicines in descending order of the number of enzymes that it can interact with.", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : id (number) , name (text) , fda_approved (text) | medicine_enzyme_interaction : medicine_id (number) , enzyme_id (number)", "shrink-score": 0.6428571428571429}
{"db_id": "medicine_enzyme_interaction", "question": "What are the ids, names, and FDA approval status for medicines ordered by descending number of possible enzyme interactions?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : id (number) , name (text) , fda_approved (text) | medicine_enzyme_interaction : medicine_id (number) , enzyme_id (number)", "shrink-score": 0.6428571428571429}
{"db_id": "medicine_enzyme_interaction", "question": "What is the id and name of the enzyme with most number of medicines that can interact as 'activator'?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : id (number) , name (text) | medicine_enzyme_interaction : enzyme_id (number) , interaction_type (text)", "shrink-score": 0.7142857142857143}
{"db_id": "medicine_enzyme_interaction", "question": "What is the id and name of the enzyme that can interact with the most medicines as an activator?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : id (number) , name (text) | medicine_enzyme_interaction : enzyme_id (number) , interaction_type (text)", "shrink-score": 0.7142857142857143}
{"db_id": "medicine_enzyme_interaction", "question": "What is the interaction type of the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine_enzyme_interaction : interaction_type (text) , medicine_id (number) , enzyme_id (number) | medicine : id (number) , name (text) | enzyme : id (number) , name (text)", "shrink-score": 0.5}
{"db_id": "medicine_enzyme_interaction", "question": "What is the type of interaction for the enzyme named 'ALA synthase' and the medicine named 'Aripiprazole'?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine_enzyme_interaction : interaction_type (text) , medicine_id (number) , enzyme_id (number) | medicine : id (number) , name (text) | enzyme : id (number) , name (text)", "shrink-score": 0.5}
{"db_id": "medicine_enzyme_interaction", "question": "What is the most common interaction type between enzymes and medicine? And how many are there?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine_enzyme_interaction : interaction_type (text) , enzyme_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "medicine_enzyme_interaction", "question": "What are the most common types of interactions between enzymes and medicine, and how many types are there?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine_enzyme_interaction : interaction_type (text) , enzyme_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "medicine_enzyme_interaction", "question": "How many medicines have the FDA approval status 'No' ?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : fda_approved (text) , id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "medicine_enzyme_interaction", "question": "How many medicines were not approved by the FDA?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : fda_approved (text) , id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "medicine_enzyme_interaction", "question": "How many enzymes do not have any interactions?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : id (number) | medicine_enzyme_interaction : enzyme_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "medicine_enzyme_interaction", "question": "What is the count of enzymes without any interactions?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : id (number) | medicine_enzyme_interaction : enzyme_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "medicine_enzyme_interaction", "question": "What is the id and trade name of the medicines can interact with at least 3 enzymes?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : id (number) , trade_name (text) | medicine_enzyme_interaction : medicine_id (number) , enzyme_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "medicine_enzyme_interaction", "question": "What are the ids and trade names of the medicine that can interact with at least 3 enzymes?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : id (number) , trade_name (text) | medicine_enzyme_interaction : medicine_id (number) , enzyme_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "medicine_enzyme_interaction", "question": "What are the distinct name, location and products of the enzymes which has any 'inhibitor' interaction?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : name (text) , location (text) , product (text) , id (number) | medicine_enzyme_interaction : enzyme_id (number) , interaction_type (text)", "shrink-score": 0.5714285714285714}
{"db_id": "medicine_enzyme_interaction", "question": "What are the different names, locations, and products of the enzymes that are capable inhibitor interactions?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : name (text) , location (text) , product (text) , id (number) | medicine_enzyme_interaction : enzyme_id (number) , interaction_type (text)", "shrink-score": 0.5714285714285714}
{"db_id": "medicine_enzyme_interaction", "question": "List the medicine name and trade name which can both interact as 'inhibitor' and 'activitor' with enzymes.", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : name (text) , trade_name (text) , id (number) | medicine_enzyme_interaction : medicine_id (number) , interaction_type (text)", "shrink-score": 0.6428571428571429}
{"db_id": "medicine_enzyme_interaction", "question": "What are the medicine and trade names that can interact as an inhibitor and activitor with enzymes?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : name (text) , trade_name (text) , id (number) | medicine_enzyme_interaction : medicine_id (number) , interaction_type (text)", "shrink-score": 0.6428571428571429}
{"db_id": "medicine_enzyme_interaction", "question": "Show the medicine names and trade names that cannot interact with the enzyme with product 'Heme'.", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : name (text) , trade_name (text) , id (number) | enzyme : name (text) , id (number) , product (text) | medicine_enzyme_interaction : medicine_id (number) , enzyme_id (number)", "shrink-score": 0.42857142857142855}
{"db_id": "medicine_enzyme_interaction", "question": "What are the medicine and trade names that cannot interact with the enzyme with the product 'Heme'?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : name (text) , trade_name (text) , id (number) | enzyme : name (text) , id (number) , product (text) | medicine_enzyme_interaction : medicine_id (number) , enzyme_id (number)", "shrink-score": 0.42857142857142855}
{"db_id": "medicine_enzyme_interaction", "question": "How many distinct FDA approval statuses are there for the medicines?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : fda_approved (text)", "shrink-score": 0.9285714285714286}
{"db_id": "medicine_enzyme_interaction", "question": "How many different FDA approval statuses exist for medicines?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : fda_approved (text)", "shrink-score": 0.9285714285714286}
{"db_id": "medicine_enzyme_interaction", "question": "Which enzyme names have the substring \"ALA\"?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : name (text)", "shrink-score": 0.9285714285714286}
{"db_id": "medicine_enzyme_interaction", "question": "What are the names of enzymes that include the string 'ALA'?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "enzyme : name (text)", "shrink-score": 0.9285714285714286}
{"db_id": "medicine_enzyme_interaction", "question": "find the number of medicines offered by each trade.", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : trade_name (text) , id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "medicine_enzyme_interaction", "question": "How many medicines are offered by each trade name?", "schema": "medicine : id (number) , name (text) , trade_name (text) , fda_approved (text) | enzyme : id (number) , name (text) , location (text) , product (text) , chromosome (text) , omim (number) , porphyria (text) | medicine_enzyme_interaction : enzyme_id (number) , medicine_id (number) , interaction_type (text)", "summarized-schema": "medicine : trade_name (text) , id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "university_basketball", "question": "List all schools and their nicknames in the order of founded year.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : school (text) , nickname (text) , founded (number)", "shrink-score": 0.85}
{"db_id": "university_basketball", "question": "What are the different schools and their nicknames, ordered by their founding years?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : school (text) , nickname (text) , founded (number)", "shrink-score": 0.85}
{"db_id": "university_basketball", "question": "List all public schools and their locations.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : school (text) , location (text) , affiliation (text)", "shrink-score": 0.85}
{"db_id": "university_basketball", "question": "What are the public schools and what are their locations?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : school (text) , location (text) , affiliation (text)", "shrink-score": 0.85}
{"db_id": "university_basketball", "question": "When was the school with the largest enrollment founded?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : founded (number) , enrollment (number)", "shrink-score": 0.9}
{"db_id": "university_basketball", "question": "Return the founded year for the school with the largest enrollment.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : founded (number) , enrollment (number)", "shrink-score": 0.9}
{"db_id": "university_basketball", "question": "Find the founded year of the newest non public school.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : founded (number) , affiliation (text)", "shrink-score": 0.9}
{"db_id": "university_basketball", "question": "What is the founded year of the non public school that was founded most recently?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : founded (number) , affiliation (text)", "shrink-score": 0.9}
{"db_id": "university_basketball", "question": "How many schools are in the basketball match?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : school_id (number)", "shrink-score": 0.95}
{"db_id": "university_basketball", "question": "Count the number of schools that have had basketball matches.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : school_id (number)", "shrink-score": 0.95}
{"db_id": "university_basketball", "question": "What is the highest acc percent score in the competition?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : acc_percent (text)", "shrink-score": 0.95}
{"db_id": "university_basketball", "question": "Return the highest acc percent across all basketball matches.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : acc_percent (text)", "shrink-score": 0.95}
{"db_id": "university_basketball", "question": "What is the primary conference of the school that has the lowest acc percent score in the competition?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : primary_conference (text) , school_id (number) | basketball_match : school_id (number) , acc_percent (text)", "shrink-score": 0.8}
{"db_id": "university_basketball", "question": "Return the primary conference of the school with the lowest acc percentage score.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : primary_conference (text) , school_id (number) | basketball_match : school_id (number) , acc_percent (text)", "shrink-score": 0.8}
{"db_id": "university_basketball", "question": "What is the team name and acc regular season score of the school that was founded for the longest time?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : team_name (text) , acc_regular_season (text) , school_id (number) | university : school_id (number) , founded (number)", "shrink-score": 0.75}
{"db_id": "university_basketball", "question": "Return the name of the team and the acc during the regular season for the school that was founded the earliest.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : team_name (text) , acc_regular_season (text) , school_id (number) | university : school_id (number) , founded (number)", "shrink-score": 0.75}
{"db_id": "university_basketball", "question": "Find the location and all games score of the school that has Clemson as its team name.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : all_games (text) , school_id (number) , team_name (text) | university : location (text) , school_id (number)", "shrink-score": 0.75}
{"db_id": "university_basketball", "question": "What are the all games score and location of the school called Clemson?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : all_games (text) , school_id (number) , team_name (text) | university : location (text) , school_id (number)", "shrink-score": 0.75}
{"db_id": "university_basketball", "question": "What are the average enrollment size of the universities that are founded before 1850?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : enrollment (number) , founded (number)", "shrink-score": 0.9}
{"db_id": "university_basketball", "question": "Return the average enrollment of universities founded before 1850.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : enrollment (number) , founded (number)", "shrink-score": 0.9}
{"db_id": "university_basketball", "question": "Show the enrollment and primary_conference of the oldest college.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : enrollment (number) , primary_conference (text) , founded (number)", "shrink-score": 0.85}
{"db_id": "university_basketball", "question": "What are the enrollment and primary conference for the university which was founded the earliest?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : enrollment (number) , primary_conference (text) , founded (number)", "shrink-score": 0.85}
{"db_id": "university_basketball", "question": "What is the total and minimum enrollment of all schools?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : enrollment (number)", "shrink-score": 0.95}
{"db_id": "university_basketball", "question": "Return the total and minimum enrollments across all schools.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : enrollment (number)", "shrink-score": 0.95}
{"db_id": "university_basketball", "question": "Find the total student enrollment for different affiliation type schools.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : enrollment (number) , affiliation (text)", "shrink-score": 0.9}
{"db_id": "university_basketball", "question": "What are the total enrollments of universities of each affiliation type?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : enrollment (number) , affiliation (text)", "shrink-score": 0.9}
{"db_id": "university_basketball", "question": "How many schools do not participate in the basketball match?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : school_id (number) , team_id (number) | university : school_id (number)", "shrink-score": 0.85}
{"db_id": "university_basketball", "question": "Count the number of universities that do not participate in the baketball match.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : school_id (number) , team_id (number) | university : school_id (number)", "shrink-score": 0.85}
{"db_id": "university_basketball", "question": "Find the schools that were either founded after 1850 or public.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : school (text) , founded (number) , affiliation (text)", "shrink-score": 0.85}
{"db_id": "university_basketball", "question": "What are the schools that were either founded before 1850 or are public?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : school (text) , founded (number) , affiliation (text)", "shrink-score": 0.85}
{"db_id": "university_basketball", "question": "Find how many different affiliation types there are.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : affiliation (text)", "shrink-score": 0.95}
{"db_id": "university_basketball", "question": "Count the number of different affiliation types.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : affiliation (text)", "shrink-score": 0.95}
{"db_id": "university_basketball", "question": "Find how many school locations have the word 'NY'.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : location (text) , school_id (number)", "shrink-score": 0.9}
{"db_id": "university_basketball", "question": "How many universities have a location that contains NY?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : location (text) , school_id (number)", "shrink-score": 0.9}
{"db_id": "university_basketball", "question": "Find the team names of the universities whose enrollments are smaller than the average enrollment size.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : team_name (text) , school_id (number) | university : school_id (number) , enrollment (number)", "shrink-score": 0.8}
{"db_id": "university_basketball", "question": "What are the names of teams from universities that have a below average enrollment?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : team_name (text) , school_id (number) | university : school_id (number) , enrollment (number)", "shrink-score": 0.8}
{"db_id": "university_basketball", "question": "Find the number of universities that have over a 20000 enrollment size for each affiliation type.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : affiliation (text) , enrollment (number) , school_id (number)", "shrink-score": 0.85}
{"db_id": "university_basketball", "question": "What are the different affiliations, and how many schools with each have an enrollment size of above 20000?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : affiliation (text) , enrollment (number) , school_id (number)", "shrink-score": 0.85}
{"db_id": "university_basketball", "question": "Find the total number of students enrolled in the colleges that were founded after the year of 1850 for each affiliation type.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : enrollment (number) , affiliation (text) , founded (number)", "shrink-score": 0.85}
{"db_id": "university_basketball", "question": "What are the different affiliations, and what is the total enrollment of schools founded after 1850 for each enrollment type?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : enrollment (number) , affiliation (text) , founded (number)", "shrink-score": 0.85}
{"db_id": "university_basketball", "question": "What is the maximum enrollment across all schools?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : enrollment (number)", "shrink-score": 0.95}
{"db_id": "university_basketball", "question": "Return the maximum enrollment across all schools.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "university : enrollment (number)", "shrink-score": 0.95}
{"db_id": "university_basketball", "question": "List all information regarding the basketball match.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : team_id (number)", "shrink-score": 0.95}
{"db_id": "university_basketball", "question": "What is all the information about the basketball match?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : team_id (number)", "shrink-score": 0.95}
{"db_id": "university_basketball", "question": "List names of all teams in the basketball competition, ordered by all home scores in descending order.", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : team_name (text) , all_home (text)", "shrink-score": 0.9}
{"db_id": "university_basketball", "question": "What are the names of all the teams in the basketball competition, sorted by all home scores in descending order?", "schema": "basketball_match : team_id (number) , school_id (number) , team_name (text) , acc_regular_season (text) , acc_percent (text) , acc_home (text) , acc_road (text) , all_games (text) , all_games_percent (number) , all_home (text) , all_road (text) , all_neutral (text) | university : school_id (number) , school (text) , location (text) , founded (number) , affiliation (text) , enrollment (number) , nickname (text) , primary_conference (text)", "summarized-schema": "basketball_match : team_name (text) , all_home (text)", "shrink-score": 0.9}
{"db_id": "phone_1", "question": "the names of models that launched between 2002 and 2004.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "chip_model : model_name (text) , launch_year (number)", "shrink-score": 0.9047619047619048}
{"db_id": "phone_1", "question": "Which model has the least amount of RAM? List the model name and the amount of RAM.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "chip_model : model_name (text) , ram_mib (number)", "shrink-score": 0.9047619047619048}
{"db_id": "phone_1", "question": "What are the chip model and screen mode of the phone with hardware model name \"LG-P760\"?", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "phone : chip_model (text) , screen_mode (text) , hardware_model_name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "phone_1", "question": "How many phone hardware models are produced by the company named \"Nokia Corporation\"?", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "phone : company_name (text) , hardware_model_name (text)", "shrink-score": 0.9047619047619048}
{"db_id": "phone_1", "question": "What is maximum and minimum RAM size of phone produced by company named \"Nokia Corporation\"?", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "chip_model : ram_mib (number) , model_name (text) | phone : chip_model (text) , company_name (text)", "shrink-score": 0.8095238095238095}
{"db_id": "phone_1", "question": "What is the average ROM size of phones produced by the company named \"Nokia Corporation\"?", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "chip_model : rom_mib (number) , model_name (text) | phone : chip_model (text) , company_name (text)", "shrink-score": 0.8095238095238095}
{"db_id": "phone_1", "question": "List the hardware model name and company name for all the phones that were launched in year 2002 or have RAM size greater than 32.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "phone : hardware_model_name (text) , company_name (text) , chip_model (text) | chip_model : model_name (text) , launch_year (number) , ram_mib (number)", "shrink-score": 0.7142857142857143}
{"db_id": "phone_1", "question": "Find all phones that have word 'Full' in their accreditation types. List the Hardware Model name and Company name.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "phone : hardware_model_name (text) , company_name (text) , accreditation_type (text)", "shrink-score": 0.8571428571428571}
{"db_id": "phone_1", "question": "Find the Char cells, Pixels and Hardware colours for the screen of the phone whose hardware model name is \"LG-P760\".", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "screen_mode : char_cells (text) , pixels (text) , hardware_colours (number) , graphics_mode (number) | phone : screen_mode (text) , hardware_model_name (text)", "shrink-score": 0.7142857142857143}
{"db_id": "phone_1", "question": "List the hardware model name and company name for the phone whose screen mode type is \"Graphics.\"", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "phone : hardware_model_name (text) , company_name (text) , screen_mode (text) | screen_mode : graphics_mode (number) , type (text)", "shrink-score": 0.7619047619047619}
{"db_id": "phone_1", "question": "Find the name of the company that has the least number of phone models. List the company name and the number of phone model produced by that company.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "phone : company_name (text) , hardware_model_name (text)", "shrink-score": 0.9047619047619048}
{"db_id": "phone_1", "question": "List the name of the company that produced more than one phone model.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "phone : company_name (text) , hardware_model_name (text)", "shrink-score": 0.9047619047619048}
{"db_id": "phone_1", "question": "List the maximum, minimum and average number of used kb in screen mode.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "screen_mode : used_kb (number)", "shrink-score": 0.9523809523809523}
{"db_id": "phone_1", "question": "List the name of the phone model launched in year 2002 and with the highest RAM size.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "phone : hardware_model_name (text) , chip_model (text) | chip_model : model_name (text) , launch_year (number) , ram_mib (number)", "shrink-score": 0.7619047619047619}
{"db_id": "phone_1", "question": "What are the wifi and screen mode type of the hardware model named \"LG-P760\"?", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "chip_model : wifi (text) , model_name (text) | screen_mode : type (text) , graphics_mode (number) | phone : chip_model (text) , screen_mode (text) , hardware_model_name (text)", "shrink-score": 0.6666666666666666}
{"db_id": "phone_1", "question": "List the hardware model name for the phones that have screen mode type \"Text\" or RAM size greater than 32.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "phone : hardware_model_name (text) , chip_model (text) , screen_mode (text) | chip_model : model_name (text) , ram_mib (number) | screen_mode : graphics_mode (number) , type (text)", "shrink-score": 0.6666666666666666}
{"db_id": "phone_1", "question": "List the hardware model name for the phones that were produced by \"Nokia Corporation\" or whose screen mode type is \"Graphics.\"", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "phone : hardware_model_name (text) , screen_mode (text) , company_name (text) | screen_mode : graphics_mode (number) , type (text)", "shrink-score": 0.7619047619047619}
{"db_id": "phone_1", "question": "List the hardware model name for the phons that were produced by \"Nokia Corporation\" but whose screen mode type is not Text.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "phone : hardware_model_name (text) , screen_mode (text) , company_name (text) | screen_mode : graphics_mode (number) , type (text)", "shrink-score": 0.7619047619047619}
{"db_id": "phone_1", "question": "List the phone hardware model and company name for the phones whose screen usage in kb is between 10 and 15.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "phone : hardware_model_name (text) , company_name (text) , screen_mode (text) | screen_mode : graphics_mode (number) , used_kb (number)", "shrink-score": 0.7619047619047619}
{"db_id": "phone_1", "question": "Find the number of phones for each accreditation type.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "phone : accreditation_type (text) , hardware_model_name (text)", "shrink-score": 0.9047619047619048}
{"db_id": "phone_1", "question": "How many phones belongs to each accreditation type?", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "phone : accreditation_type (text) , hardware_model_name (text)", "shrink-score": 0.9047619047619048}
{"db_id": "phone_1", "question": "Find the accreditation level that more than 3 phones use.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "phone : accreditation_level (text) , hardware_model_name (text)", "shrink-score": 0.9047619047619048}
{"db_id": "phone_1", "question": "Find the details for all chip models.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "chip_model : model_name (text)", "shrink-score": 0.9523809523809523}
{"db_id": "phone_1", "question": "How many models do not have the wifi function?", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "chip_model : wifi (text) , model_name (text)", "shrink-score": 0.9047619047619048}
{"db_id": "phone_1", "question": "Count the number of chip model that do not have wifi.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "chip_model : wifi (text) , model_name (text)", "shrink-score": 0.9047619047619048}
{"db_id": "phone_1", "question": "List all the model names sorted by their launch year.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "chip_model : model_name (text) , launch_year (number)", "shrink-score": 0.9047619047619048}
{"db_id": "phone_1", "question": "Find the average ram mib size of the chip models that are never used by any phone.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "chip_model : ram_mib (number) , model_name (text) | phone : chip_model (text)", "shrink-score": 0.8571428571428571}
{"db_id": "phone_1", "question": "Find the names of the chip models that are not used by any phone with full accreditation type.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "chip_model : model_name (text) | phone : chip_model (text) , accreditation_type (text)", "shrink-score": 0.8571428571428571}
{"db_id": "phone_1", "question": "Find the pixels of the screen modes that are used by both phones with full accreditation types and phones with Provisional accreditation types.", "schema": "chip_model : model_name (text) , launch_year (number) , ram_mib (number) , rom_mib (number) , slots (text) , wifi (text) , bluetooth (text) | screen_mode : graphics_mode (number) , char_cells (text) , pixels (text) , hardware_colours (number) , used_kb (number) , map (text) , type (text) | phone : company_name (text) , hardware_model_name (text) , accreditation_type (text) , accreditation_level (text) , date (text) , chip_model (text) , screen_mode (text)", "summarized-schema": "screen_mode : pixels (text) , graphics_mode (number) | phone : screen_mode (text) , accreditation_type (text)", "shrink-score": 0.8095238095238095}
{"db_id": "match_season", "question": "How many countries are there in total?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "country : country_id (number)", "shrink-score": 0.9523809523809523}
{"db_id": "match_season", "question": "Count the number of countries.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "country : country_id (number)", "shrink-score": 0.9523809523809523}
{"db_id": "match_season", "question": "Show the country name and capital of all countries.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "country : country_name (text) , capital (text)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "What are the names and capitals of each country?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "country : country_name (text) , capital (text)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "Show all official native languages that contain the word \"English\".", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "country : official_native_language (text)", "shrink-score": 0.9523809523809523}
{"db_id": "match_season", "question": "What are the official native languages that contain the string \"English\".", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "country : official_native_language (text)", "shrink-score": 0.9523809523809523}
{"db_id": "match_season", "question": "Show all distinct positions of matches.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : position (text)", "shrink-score": 0.9523809523809523}
{"db_id": "match_season", "question": "What are the different positions for match season?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : position (text)", "shrink-score": 0.9523809523809523}
{"db_id": "match_season", "question": "Show the players from college UCLA.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : player (text) , college (text) | player : player (text)", "shrink-score": 0.8571428571428571}
{"db_id": "match_season", "question": "Who are the players from UCLA?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : player (text) , college (text) | player : player (text)", "shrink-score": 0.8571428571428571}
{"db_id": "match_season", "question": "Show the distinct position of players from college UCLA or Duke.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : position (text) , college (text)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "What are the different positions of players from UCLA or Duke colleges?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : position (text) , college (text)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "Show the draft pick numbers and draft classes of players whose positions are defenders.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : draft_pick_number (number) , draft_class (text) , position (text)", "shrink-score": 0.8571428571428571}
{"db_id": "match_season", "question": "What are the draft pick numbers and draft classes for players who play the Defender position?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : draft_pick_number (number) , draft_class (text) , position (text)", "shrink-score": 0.8571428571428571}
{"db_id": "match_season", "question": "How many distinct teams are involved in match seasons?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : team (number)", "shrink-score": 0.9523809523809523}
{"db_id": "match_season", "question": "Count the number of different teams involved in match season.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : team (number)", "shrink-score": 0.9523809523809523}
{"db_id": "match_season", "question": "Show the players and the years played.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "player : player (text) , years_played (text)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "Who are the different players and how many years has each played?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "player : player (text) , years_played (text)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "Show all team names.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "team : name (text)", "shrink-score": 0.9523809523809523}
{"db_id": "match_season", "question": "What are the names of all teams?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "team : name (text)", "shrink-score": 0.9523809523809523}
{"db_id": "match_season", "question": "Show the season, the player, and the name of the country that player belongs to.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : season (number) , player (text) , country (number) | player : player (text) | country : country_name (text) , country_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "match_season", "question": "For each player, what are their name, season, and country that they belong to?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : season (number) , player (text) , country (number) | player : player (text) | country : country_name (text) , country_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "match_season", "question": "Which players are from Indonesia?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : player (text) , country (number) | player : player (text) | country : country_id (number) , country_name (text)", "shrink-score": 0.7619047619047619}
{"db_id": "match_season", "question": "Who are the players from Indonesia?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : player (text) , country (number) | player : player (text) | country : country_id (number) , country_name (text)", "shrink-score": 0.7619047619047619}
{"db_id": "match_season", "question": "What are the distinct positions of the players from a country whose capital is Dublin?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : position (text) , country (number) | country : country_id (number) , capital (text)", "shrink-score": 0.8095238095238095}
{"db_id": "match_season", "question": "Give the different positions of players who play for the country with the capital Dublin.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : position (text) , country (number) | country : country_id (number) , capital (text)", "shrink-score": 0.8095238095238095}
{"db_id": "match_season", "question": "What are the official languages of the countries of players from Maryland or Duke college?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "country : official_native_language (text) , country_id (number) | match_season : country (number) , college (text)", "shrink-score": 0.8095238095238095}
{"db_id": "match_season", "question": "Return the official native languages of countries who have players from Maryland or Duke colleges.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "country : official_native_language (text) , country_id (number) | match_season : country (number) , college (text)", "shrink-score": 0.8095238095238095}
{"db_id": "match_season", "question": "How many distinct official languages are there among countries of players whose positions are defenders.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "country : official_native_language (text) , country_id (number) | match_season : country (number) , position (text)", "shrink-score": 0.8095238095238095}
{"db_id": "match_season", "question": "Count the number of different official languages corresponding to countries that players who play Defender are from.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "country : official_native_language (text) , country_id (number) | match_season : country (number) , position (text)", "shrink-score": 0.8095238095238095}
{"db_id": "match_season", "question": "Show the season, the player, and the name of the team that players belong to.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : season (number) , player (text) , team (number) | player : player (text) , team (number) | team : name (text) , team_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "match_season", "question": "Who are the different players, what season do they play in, and what is the name of the team they are on?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : season (number) , player (text) , team (number) | player : player (text) , team (number) | team : name (text) , team_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "match_season", "question": "Show the positions of the players from the team with name \"Ryley Goldner\".", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : position (text) , team (number) | team : team_id (number) , name (text)", "shrink-score": 0.8095238095238095}
{"db_id": "match_season", "question": "Return the positions of players on the team Ryley Goldner.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : position (text) , team (number) | team : team_id (number) , name (text)", "shrink-score": 0.8095238095238095}
{"db_id": "match_season", "question": "How many distinct colleges are associated with players from the team with name \"Columbus Crew\".", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : college (text) , team (number) | team : team_id (number) , name (text)", "shrink-score": 0.8095238095238095}
{"db_id": "match_season", "question": "Count the number of different colleges that players who play for Columbus Crew are from.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : college (text) , team (number) | team : team_id (number) , name (text)", "shrink-score": 0.8095238095238095}
{"db_id": "match_season", "question": "Show the players and years played for players from team \"Columbus Crew\".", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "player : player (text) , years_played (text) , team (number) | team : team_id (number) , name (text)", "shrink-score": 0.7619047619047619}
{"db_id": "match_season", "question": "What are the players who played for Columbus Crew, and how many years did each play for?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "player : player (text) , years_played (text) , team (number) | team : team_id (number) , name (text)", "shrink-score": 0.7619047619047619}
{"db_id": "match_season", "question": "Show the position of players and the corresponding number of players.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : position (text) , season (number)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "How many players played each position?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : position (text) , season (number)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "Show the country names and the corresponding number of players.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "country : country_name (text) , country_id (number) | match_season : country (number) , season (number)", "shrink-score": 0.8095238095238095}
{"db_id": "match_season", "question": "How many players are from each country?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "country : country_name (text) , country_id (number) | match_season : country (number) , season (number)", "shrink-score": 0.8095238095238095}
{"db_id": "match_season", "question": "Return all players sorted by college in ascending alphabetical order.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : player (text) , college (text) | player : player (text)", "shrink-score": 0.8571428571428571}
{"db_id": "match_season", "question": "What are all the players who played in match season, sorted by college in ascending alphabetical order?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : player (text) , college (text) | player : player (text)", "shrink-score": 0.8571428571428571}
{"db_id": "match_season", "question": "Show the most common position of players in match seasons.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : position (text) , season (number)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "What is the position that is most common among players in match seasons?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : position (text) , season (number)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "Show the top 3 most common colleges of players in match seasons.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : college (text) , season (number)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "What are the three colleges from which the most players are from?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : college (text) , season (number)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "Show the name of colleges that have at least two players.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : college (text) , season (number)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "What are the names of all colleges that have two or more players?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : college (text) , season (number)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "Show the name of colleges that have at least two players in descending alphabetical order.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : college (text) , season (number)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "What are the names of colleges that have two or more players, listed in descending alphabetical order?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : college (text) , season (number)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "What are the names of teams that do no have match season record?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "team : name (text) , team_id (number) | match_season : team (number)", "shrink-score": 0.8571428571428571}
{"db_id": "match_season", "question": "Return the names of teams that have no match season record.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "team : name (text) , team_id (number) | match_season : team (number)", "shrink-score": 0.8571428571428571}
{"db_id": "match_season", "question": "What are the names of countries that have both players with position forward and players with position defender?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "country : country_name (text) , country_id (number) | match_season : country (number) , position (text)", "shrink-score": 0.8095238095238095}
{"db_id": "match_season", "question": "Return the names of countries that have players that play the Forward position, as well as players who play the Defender position.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "country : country_name (text) , country_id (number) | match_season : country (number) , position (text)", "shrink-score": 0.8095238095238095}
{"db_id": "match_season", "question": "Which college have both players with position midfielder and players with position defender?", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : college (text) , position (text)", "shrink-score": 0.9047619047619048}
{"db_id": "match_season", "question": "Return the colleges that have players who play the Midfielder position, as well as players who play the Defender position.", "schema": "country : country_id (number) , country_name (text) , capital (text) , official_native_language (text) | team : team_id (number) , name (text) | match_season : season (number) , player (text) , position (text) , country (number) , team (number) , draft_pick_number (number) , draft_class (text) , college (text) | player : player_id (number) , player (text) , years_played (text) , total_wl (text) , singles_wl (text) , doubles_wl (text) , team (number)", "summarized-schema": "match_season : college (text) , position (text)", "shrink-score": 0.9047619047619048}
{"db_id": "climbing", "question": "How many climbers are there?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "climber : climber_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "climbing", "question": "Count the number of climbers.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "climber : climber_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "climbing", "question": "List the names of climbers in descending order of points.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "climber : name (text) , points (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "What are the names of the climbers, ordered by points descending?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "climber : name (text) , points (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "List the names of climbers whose country is not Switzerland.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "climber : name (text) , country (text)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "What are the names of climbers who are not from the country of Switzerland?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "climber : name (text) , country (text)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "What is the maximum point for climbers whose country is United Kingdom?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "climber : points (number) , country (text)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "Return the maximum number of points for climbers from the United Kingdom.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "climber : points (number) , country (text)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "How many distinct countries are the climbers from?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "climber : country (text)", "shrink-score": 0.9166666666666666}
{"db_id": "climbing", "question": "Count the number of different countries that climbers are from.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "climber : country (text)", "shrink-score": 0.9166666666666666}
{"db_id": "climbing", "question": "What are the names of mountains in ascending alphabetical order?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : name (text)", "shrink-score": 0.9166666666666666}
{"db_id": "climbing", "question": "Give the names of mountains in alphabetical order.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : name (text)", "shrink-score": 0.9166666666666666}
{"db_id": "climbing", "question": "What are the countries of mountains with height bigger than 5000?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : country (text) , height (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "Return the countries of the mountains that have a height larger than 5000.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : country (text) , height (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "What is the name of the highest mountain?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : name (text) , height (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "Return the name of the mountain with the greatest height.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : name (text) , height (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "List the distinct ranges of the mountains with the top 3 prominence.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : range (text) , prominence (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "What are the different ranges of the 3 mountains with the highest prominence?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : range (text) , prominence (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "Show names of climbers and the names of mountains they climb.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : name (text) , mountain_id (number) | climber : name (text) , mountain_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "climbing", "question": "What are the names of climbers and the corresponding names of mountains that they climb?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : name (text) , mountain_id (number) | climber : name (text) , mountain_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "climbing", "question": "Show the names of climbers and the heights of mountains they climb.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : name (text) , height (number) , mountain_id (number) | climber : name (text) , mountain_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "climbing", "question": "What are the names of climbers and the corresponding heights of the mountains that they climb?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : name (text) , height (number) , mountain_id (number) | climber : name (text) , mountain_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "climbing", "question": "Show the height of the mountain climbed by the climber with the maximum points.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : height (number) , mountain_id (number) | climber : mountain_id (number) , points (number)", "shrink-score": 0.6666666666666666}
{"db_id": "climbing", "question": "What is the height of the mountain climbined by the climbing who had the most points?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : height (number) , mountain_id (number) | climber : mountain_id (number) , points (number)", "shrink-score": 0.6666666666666666}
{"db_id": "climbing", "question": "Show the distinct names of mountains climbed by climbers from country \"West Germany\".", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : name (text) , mountain_id (number) , country (text) | climber : name (text) , mountain_id (number) , country (text)", "shrink-score": 0.5}
{"db_id": "climbing", "question": "What are the different names of mountains ascended by climbers from the country of West Germany?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : name (text) , mountain_id (number) , country (text) | climber : name (text) , mountain_id (number) , country (text)", "shrink-score": 0.5}
{"db_id": "climbing", "question": "Show the times used by climbers to climb mountains in Country Uganda.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "climber : time (text) , mountain_id (number) , country (text) | mountain : mountain_id (number) , country (text)", "shrink-score": 0.5833333333333334}
{"db_id": "climbing", "question": "What are the times used by climbers who climbed mountains in the country of Uganda?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "climber : time (text) , mountain_id (number) , country (text) | mountain : mountain_id (number) , country (text)", "shrink-score": 0.5833333333333334}
{"db_id": "climbing", "question": "Please show the countries and the number of climbers from each country.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "climber : country (text) , climber_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "How many climbers are from each country?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "climber : country (text) , climber_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "List the countries that have more than one mountain.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : country (text) , mountain_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "Which countries have more than one mountain?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : country (text) , mountain_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "List the names of mountains that do not have any climber.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : name (text) , mountain_id (number) | climber : name (text) , mountain_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "climbing", "question": "What are the names of countains that no climber has climbed?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : name (text) , mountain_id (number) | climber : name (text) , mountain_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "climbing", "question": "Show the countries that have mountains with height more than 5600 stories and mountains with height less than 5200.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : country (text) , height (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "What are the countries that have both mountains that are higher than 5600 and lower than 5200?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : country (text) , height (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "Show the range that has the most number of mountains.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : range (text) , mountain_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "Which range contains the most mountains?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : range (text) , mountain_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "climbing", "question": "Show the names of mountains with height more than 5000 or prominence more than 1000.", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : name (text) , height (number) , prominence (number)", "shrink-score": 0.75}
{"db_id": "climbing", "question": "What are the names of mountains that have a height of over 5000 or a prominence of over 1000?", "schema": "mountain : mountain_id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | climber : climber_id (number) , name (text) , country (text) , time (text) , points (number) , mountain_id (number)", "summarized-schema": "mountain : name (text) , height (number) , prominence (number)", "shrink-score": 0.75}
{"db_id": "body_builder", "question": "How many body builders are there?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "body_builder : body_builder_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "body_builder", "question": "List the total scores of body builders in ascending order.", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "body_builder : total (number)", "shrink-score": 0.9090909090909091}
{"db_id": "body_builder", "question": "List the snatch score and clean jerk score of body builders in ascending order of snatch score.", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "body_builder : snatch (number) , clean_jerk (number)", "shrink-score": 0.8181818181818182}
{"db_id": "body_builder", "question": "What is the average snatch score of body builders?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "body_builder : snatch (number)", "shrink-score": 0.9090909090909091}
{"db_id": "body_builder", "question": "What are the clean and jerk score of the body builder with the highest total score?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "body_builder : clean_jerk (number) , total (number)", "shrink-score": 0.8181818181818182}
{"db_id": "body_builder", "question": "What are the birthdays of people in ascending order of height?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "people : birth_date (text) , height (number)", "shrink-score": 0.8181818181818182}
{"db_id": "body_builder", "question": "What are the names of body builders?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "people : name (text) , people_id (number) | body_builder : people_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "body_builder", "question": "What are the names of body builders whose total score is higher than 300?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "people : name (text) , people_id (number) | body_builder : people_id (number) , total (number)", "shrink-score": 0.6363636363636364}
{"db_id": "body_builder", "question": "What is the name of the body builder with the greatest body weight?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "people : name (text) , people_id (number) , weight (number) | body_builder : people_id (number)", "shrink-score": 0.6363636363636364}
{"db_id": "body_builder", "question": "What are the birth date and birth place of the body builder with the highest total points?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "people : birth_date (text) , birth_place (text) , people_id (number) | body_builder : people_id (number) , total (number)", "shrink-score": 0.5454545454545454}
{"db_id": "body_builder", "question": "What are the heights of body builders with total score smaller than 315?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "people : height (number) , people_id (number) | body_builder : people_id (number) , total (number)", "shrink-score": 0.6363636363636364}
{"db_id": "body_builder", "question": "What is the average total score of body builders with height bigger than 200?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "body_builder : total (number) , people_id (number) | people : people_id (number) , height (number)", "shrink-score": 0.6363636363636364}
{"db_id": "body_builder", "question": "What are the names of body builders in descending order of total scores?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "people : name (text) , people_id (number) | body_builder : people_id (number) , total (number)", "shrink-score": 0.6363636363636364}
{"db_id": "body_builder", "question": "List each birth place along with the number of people from there.", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "people : birth_place (text) , people_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "body_builder", "question": "What is the most common birth place of people?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "people : birth_place (text) , people_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "body_builder", "question": "What are the birth places that are shared by at least two people?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "people : birth_place (text) , people_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "body_builder", "question": "List the height and weight of people in descending order of height.", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "people : height (number) , weight (number)", "shrink-score": 0.8181818181818182}
{"db_id": "body_builder", "question": "Show all information about each body builder.", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "body_builder : body_builder_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "body_builder", "question": "List the names and origins of people who are not body builders.", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "people : name (text) , birth_place (text) , people_id (number) | body_builder : people_id (number)", "shrink-score": 0.6363636363636364}
{"db_id": "body_builder", "question": "How many distinct birth places are there?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "people : birth_place (text)", "shrink-score": 0.9090909090909091}
{"db_id": "body_builder", "question": "How many persons are not body builders?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "body_builder : people_id (number) , body_builder_id (number) | people : people_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "body_builder", "question": "List the weight of the body builders who have snatch score higher than 140 or have the height greater than 200.", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "people : weight (number) , people_id (number) , height (number) | body_builder : people_id (number) , snatch (number)", "shrink-score": 0.5454545454545454}
{"db_id": "body_builder", "question": "What are the total scores of the body builders whose birthday contains the string \"January\" ?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "body_builder : total (number) , people_id (number) | people : people_id (number) , birth_date (text)", "shrink-score": 0.6363636363636364}
{"db_id": "body_builder", "question": "What is the minimum snatch score?", "schema": "body_builder : body_builder_id (number) , people_id (number) , snatch (number) , clean_jerk (number) , total (number) | people : people_id (number) , name (text) , height (number) , weight (number) , birth_date (text) , birth_place (text)", "summarized-schema": "body_builder : snatch (number)", "shrink-score": 0.9090909090909091}
{"db_id": "election_representative", "question": "How many elections are there?", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "election : election_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "election_representative", "question": "List the votes of elections in descending order.", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "election : votes (number)", "shrink-score": 0.9166666666666666}
{"db_id": "election_representative", "question": "List the dates and vote percents of elections.", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "election : date (text) , vote_percent (number)", "shrink-score": 0.8333333333333334}
{"db_id": "election_representative", "question": "What are the minimum and maximum vote percents of elections?", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "election : vote_percent (number)", "shrink-score": 0.9166666666666666}
{"db_id": "election_representative", "question": "What are the names and parties of representatives?", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "representative : name (text) , party (text)", "shrink-score": 0.8333333333333334}
{"db_id": "election_representative", "question": "What are the names of representatives whose party is not \"Republican\"?", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "representative : name (text) , party (text)", "shrink-score": 0.8333333333333334}
{"db_id": "election_representative", "question": "What are the life spans of representatives from New York state or Indiana state?", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "representative : lifespan (text) , state (text)", "shrink-score": 0.8333333333333334}
{"db_id": "election_representative", "question": "What are the names of representatives and the dates of elections they participated in.", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "representative : name (text) , representative_id (number) | election : date (text) , representative_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "election_representative", "question": "What are the names of representatives with more than 10000 votes in election?", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "representative : name (text) , representative_id (number) | election : representative_id (number) , votes (number)", "shrink-score": 0.6666666666666666}
{"db_id": "election_representative", "question": "What are the names of representatives in descending order of votes?", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "representative : name (text) , representative_id (number) | election : representative_id (number) , votes (number)", "shrink-score": 0.6666666666666666}
{"db_id": "election_representative", "question": "What is the party of the representative that has the smallest number of votes.", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "representative : party (text) , representative_id (number) | election : representative_id (number) , votes (number)", "shrink-score": 0.6666666666666666}
{"db_id": "election_representative", "question": "What are the lifespans of representatives in descending order of vote percent?", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "representative : lifespan (text) , representative_id (number) | election : representative_id (number) , vote_percent (number)", "shrink-score": 0.6666666666666666}
{"db_id": "election_representative", "question": "What is the average number of votes of representatives from party \"Republican\"?", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "election : votes (number) , representative_id (number) | representative : representative_id (number) , party (text)", "shrink-score": 0.6666666666666666}
{"db_id": "election_representative", "question": "What are the different parties of representative? Show the party name and the number of representatives in each party.", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "representative : party (text) , representative_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "election_representative", "question": "What is the party that has the largest number of representatives?", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "representative : party (text) , representative_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "election_representative", "question": "What parties have at least three representatives?", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "representative : party (text) , representative_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "election_representative", "question": "What states have at least two representatives?", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "representative : state (text) , representative_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "election_representative", "question": "List the names of representatives that have not participated in elections listed here.", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "representative : name (text) , representative_id (number) | election : representative_id (number)", "shrink-score": 0.75}
{"db_id": "election_representative", "question": "Show the parties that have both representatives in New York state and representatives in Pennsylvania state.", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "representative : party (text) , state (text)", "shrink-score": 0.8333333333333334}
{"db_id": "election_representative", "question": "How many distinct parties are there for representatives?", "schema": "election : election_id (number) , representative_id (number) , date (text) , votes (number) , vote_percent (number) , seats (number) , place (number) | representative : representative_id (number) , name (text) , state (text) , party (text) , lifespan (text)", "summarized-schema": "representative : party (text)", "shrink-score": 0.9166666666666666}
{"db_id": "apartment_rentals", "question": "How many apartment bookings are there in total?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_bookings : apt_booking_id (number)", "shrink-score": 0.967741935483871}
{"db_id": "apartment_rentals", "question": "Count the total number of apartment bookings.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_bookings : apt_booking_id (number)", "shrink-score": 0.967741935483871}
{"db_id": "apartment_rentals", "question": "Show the start dates and end dates of all the apartment bookings.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_bookings : booking_start_date (time) , booking_end_date (time)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "What are the start date and end date of each apartment booking?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_bookings : booking_start_date (time) , booking_end_date (time)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Show all distinct building descriptions.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_buildings : building_description (text)", "shrink-score": 0.967741935483871}
{"db_id": "apartment_rentals", "question": "Give me a list of all the distinct building descriptions.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_buildings : building_description (text)", "shrink-score": 0.967741935483871}
{"db_id": "apartment_rentals", "question": "Show the short names of the buildings managed by \"Emma\".", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_buildings : building_short_name (text) , building_manager (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Which buildings does \"Emma\" manage? Give me the short names of the buildings.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_buildings : building_short_name (text) , building_manager (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Show the addresses and phones of all the buildings managed by \"Brenden\".", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_buildings : building_address (text) , building_phone (text) , building_manager (text)", "shrink-score": 0.9032258064516129}
{"db_id": "apartment_rentals", "question": "What are the address and phone number of the buildings managed by \"Brenden\"?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_buildings : building_address (text) , building_phone (text) , building_manager (text)", "shrink-score": 0.9032258064516129}
{"db_id": "apartment_rentals", "question": "What are the building full names that contain the word \"court\"?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_buildings : building_full_name (text)", "shrink-score": 0.967741935483871}
{"db_id": "apartment_rentals", "question": "Find all the building full names containing the word \"court\".", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_buildings : building_full_name (text)", "shrink-score": 0.967741935483871}
{"db_id": "apartment_rentals", "question": "What is the minimum and maximum number of bathrooms of all the apartments?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : bathroom_count (number)", "shrink-score": 0.967741935483871}
{"db_id": "apartment_rentals", "question": "Give me the minimum and maximum bathroom count among all the apartments.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : bathroom_count (number)", "shrink-score": 0.967741935483871}
{"db_id": "apartment_rentals", "question": "What is the average number of bedrooms of all apartments?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : bedroom_count (number)", "shrink-score": 0.967741935483871}
{"db_id": "apartment_rentals", "question": "Find the average number of bedrooms of all the apartments.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : bedroom_count (number)", "shrink-score": 0.967741935483871}
{"db_id": "apartment_rentals", "question": "Return the apartment number and the number of rooms for each apartment.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , room_count (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "What are the apartment number and the room count of each apartment?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , room_count (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "What is the average number of rooms of apartments with type code \"Studio\"?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : room_count (text) , apt_type_code (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Find the average room count of the apartments that have the \"Studio\" type code.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : room_count (text) , apt_type_code (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Return the apartment numbers of the apartments with type code \"Flat\".", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , apt_type_code (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Which apartments have type code \"Flat\"? Give me their apartment numbers.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , apt_type_code (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Return the first names and last names of all guests", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "guests : guest_first_name (text) , guest_last_name (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "What are the first names and last names of all the guests?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "guests : guest_first_name (text) , guest_last_name (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Return the date of birth for all the guests with gender code \"Male\".", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "guests : date_of_birth (time) , gender_code (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "What are dates of birth of all the guests whose gender is \"Male\"?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "guests : date_of_birth (time) , gender_code (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Show the apartment numbers, start dates, and end dates of all the apartment bookings.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , apt_id (number) | apartment_bookings : booking_start_date (time) , apt_id (number)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "What are the apartment number, start date, and end date of each apartment booking?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , apt_id (number) | apartment_bookings : booking_start_date (time) , apt_id (number)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "What are the booking start and end dates of the apartments with type code \"Duplex\"?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_bookings : booking_start_date (time) , apt_id (number) | apartments : apt_id (number) , apt_type_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Return the booking start date and end date for the apartments that have type code \"Duplex\".", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_bookings : booking_start_date (time) , apt_id (number) | apartments : apt_id (number) , apt_type_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "What are the booking start and end dates of the apartments with more than 2 bedrooms?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_bookings : booking_start_date (time) , apt_id (number) | apartments : apt_id (number) , bedroom_count (number)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Find the booking start date and end date for the apartments that have more than two bedrooms.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_bookings : booking_start_date (time) , apt_id (number) | apartments : apt_id (number) , bedroom_count (number)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "What is the booking status code of the apartment with apartment number \"Suite 634\"?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_bookings : booking_status_code (text) , apt_id (number) | apartments : apt_id (number) , apt_number (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Tell me the booking status code for the apartment with number \"Suite 634\".", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_bookings : booking_status_code (text) , apt_id (number) | apartments : apt_id (number) , apt_number (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Show the distinct apartment numbers of the apartments that have bookings with status code \"Confirmed\".", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , apt_id (number) | apartment_bookings : apt_id (number) , booking_status_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Which apartments have bookings with status code \"Confirmed\"? Return their apartment numbers.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , apt_id (number) | apartment_bookings : apt_id (number) , booking_status_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Show the average room count of the apartments that have booking status code \"Provisional\".", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : room_count (text) , apt_id (number) | apartment_bookings : apt_id (number) , booking_status_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "What is the average room count of the apartments whose booking status code is \"Provisional\"?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : room_count (text) , apt_id (number) | apartment_bookings : apt_id (number) , booking_status_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Show the guest first names, start dates, and end dates of all the apartment bookings.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "guests : guest_first_name (text) , guest_id (number) | apartment_bookings : booking_start_date (time) , guest_id (number)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "What are the guest first name, start date, and end date of each apartment booking?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "guests : guest_first_name (text) , guest_id (number) | apartment_bookings : booking_start_date (time) , guest_id (number)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Show the start dates and end dates of all the apartment bookings made by guests with gender code \"Female\".", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_bookings : booking_start_date (time) , guest_id (number) | guests : guest_id (number) , gender_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "What are the start date and end date of the apartment bookings made by female guests (gender code \"Female\")?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_bookings : booking_start_date (time) , guest_id (number) | guests : guest_id (number) , gender_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Show the first names and last names of all the guests that have apartment bookings with status code \"Confirmed\".", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "guests : guest_first_name (text) , guest_last_name (text) , guest_id (number) | apartment_bookings : guest_id (number) , booking_status_code (text)", "shrink-score": 0.8387096774193549}
{"db_id": "apartment_rentals", "question": "Which guests have apartment bookings with status code \"Confirmed\"? Return their first names and last names.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "guests : guest_first_name (text) , guest_last_name (text) , guest_id (number) | apartment_bookings : guest_id (number) , booking_status_code (text)", "shrink-score": 0.8387096774193549}
{"db_id": "apartment_rentals", "question": "Show the facility codes of apartments with more than 4 bedrooms.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_facilities : facility_code (text) , apt_id (number) | apartments : apt_id (number) , bedroom_count (number)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "What are the facility codes of the apartments with more than four bedrooms?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_facilities : facility_code (text) , apt_id (number) | apartments : apt_id (number) , bedroom_count (number)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Show the total number of rooms of all apartments with facility code \"Gym\".", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : room_count (text) , apt_id (number) | apartment_facilities : apt_id (number) , facility_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Find the total number of rooms in the apartments that have facility code \"Gym\".", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : room_count (text) , apt_id (number) | apartment_facilities : apt_id (number) , facility_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Show the total number of rooms of the apartments in the building with short name \"Columbus Square\".", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : room_count (text) , building_id (number) | apartment_buildings : building_id (number) , building_short_name (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "How many rooms in total are there in the apartments in the building with short name \"Columbus Square\"?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : room_count (text) , building_id (number) | apartment_buildings : building_id (number) , building_short_name (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Show the addresses of the buildings that have apartments with more than 2 bathrooms.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_buildings : building_address (text) , building_id (number) | apartments : building_id (number) , bathroom_count (number)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Which buildings have apartments that have more than two bathrooms? Give me the addresses of the buildings.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_buildings : building_address (text) , building_id (number) | apartments : building_id (number) , bathroom_count (number)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Show the apartment type codes and apartment numbers in the buildings managed by \"Kyle\".", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_type_code (text) , apt_number (text) , building_id (number) | apartment_buildings : building_id (number) , building_manager (text)", "shrink-score": 0.8387096774193549}
{"db_id": "apartment_rentals", "question": "What apartment type codes and apartment numbers do the buildings managed by \"Kyle\" have?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_type_code (text) , apt_number (text) , building_id (number) | apartment_buildings : building_id (number) , building_manager (text)", "shrink-score": 0.8387096774193549}
{"db_id": "apartment_rentals", "question": "Show the booking status code and the corresponding number of bookings.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_bookings : booking_status_code (text) , apt_booking_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "How many bookings does each booking status have? List the booking status code and the number of corresponding bookings.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartment_bookings : booking_status_code (text) , apt_booking_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Return all the apartment numbers sorted by the room count in ascending order.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , room_count (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Sort the apartment numbers in ascending order of room count.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , room_count (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Return the apartment number with the largest number of bedrooms.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , bedroom_count (number)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "What is the apartment number of the apartment with the most beds?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , bedroom_count (number)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Show the apartment type codes and the corresponding number of apartments sorted by the number of apartments in ascending order.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_type_code (text) , apt_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Return each apartment type code with the number of apartments having that apartment type, in ascending order of the number of apartments.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_type_code (text) , apt_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Show the top 3 apartment type codes sorted by the average number of rooms in descending order.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_type_code (text) , room_count (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "What are the top three apartment types in terms of the average room count? Give me the", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_type_code (text) , room_count (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Show the apartment type code that has the largest number of total rooms, together with the number of bathrooms and number of bedrooms.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_type_code (text) , bathroom_count (number) , bedroom_count (number) , room_count (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Which apartment type has the largest number of total rooms? Return the apartment type code, its number of bathrooms and number of bedrooms.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_type_code (text) , bathroom_count (number) , bedroom_count (number) , room_count (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Show the most common apartment type code.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_type_code (text) , apt_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Which apartment type code appears the most often?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_type_code (text) , apt_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Show the most common apartment type code among apartments with more than 1 bathroom.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_type_code (text) , bathroom_count (number) , apt_id (number)", "shrink-score": 0.9032258064516129}
{"db_id": "apartment_rentals", "question": "Which apartment type code is the most common among apartments with more than one bathroom?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_type_code (text) , bathroom_count (number) , apt_id (number)", "shrink-score": 0.9032258064516129}
{"db_id": "apartment_rentals", "question": "Show each apartment type code, and the maximum and minimum number of rooms for each type.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_type_code (text) , room_count (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Return each apartment type code along with the maximum and minimum number of rooms among each type.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_type_code (text) , room_count (text)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Show each gender code and the corresponding count of guests sorted by the count in descending order.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "guests : gender_code (text) , guest_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Sort the gender codes in descending order of their corresponding number of guests. Return both the gender codes and counts.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "guests : gender_code (text) , guest_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "How many apartments do not have any facility?", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_id (number) | apartment_facilities : apt_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Find the number of apartments that have no facility.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_id (number) | apartment_facilities : apt_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "apartment_rentals", "question": "Show the apartment numbers of apartments with bookings that have status code both \"Provisional\" and \"Confirmed\"", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , apt_id (number) | apartment_bookings : apt_id (number) , booking_status_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Which apartments have bookings with both status codes \"Provisional\" and \"Confirmed\"? Give me the apartment numbers.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , apt_id (number) | apartment_bookings : apt_id (number) , booking_status_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Show the apartment numbers of apartments with unit status availability of both 0 and 1.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , apt_id (number) | view_unit_status : apt_id (number) , available_yn (others)", "shrink-score": 0.8709677419354839}
{"db_id": "apartment_rentals", "question": "Which apartments have unit status availability of both 0 and 1? Return their apartment numbers.", "schema": "apartment_buildings : building_id (number) , building_short_name (text) , building_full_name (text) , building_description (text) , building_address (text) , building_manager (text) , building_phone (text) | apartments : apt_id (number) , building_id (number) , apt_type_code (text) , apt_number (text) , bathroom_count (number) , bedroom_count (number) , room_count (text) | apartment_facilities : apt_id (number) , facility_code (text) | guests : guest_id (number) , gender_code (text) , guest_first_name (text) , guest_last_name (text) , date_of_birth (time) | apartment_bookings : apt_booking_id (number) , apt_id (number) , guest_id (number) , booking_status_code (text) , booking_start_date (time) , booking_end_date (time) | view_unit_status : apt_id (number) , apt_booking_id (number) , status_date (time) , available_yn (others)", "summarized-schema": "apartments : apt_number (text) , apt_id (number) | view_unit_status : apt_id (number) , available_yn (others)", "shrink-score": 0.8709677419354839}
{"db_id": "game_injury", "question": "How many games are held after season 2007?", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "game : season (number) , id (number)", "shrink-score": 0.9}
{"db_id": "game_injury", "question": "List the dates of games by the home team name in descending order.", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "game : date (text) , home_team (text)", "shrink-score": 0.9}
{"db_id": "game_injury", "question": "List the season, home team, away team of all the games.", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "game : season (number) , home_team (text) , away_team (text)", "shrink-score": 0.85}
{"db_id": "game_injury", "question": "What are the maximum, minimum and average home games each stadium held?", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "stadium : home_games (number)", "shrink-score": 0.95}
{"db_id": "game_injury", "question": "What is the average attendance of stadiums with capacity percentage higher than 100%?", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "stadium : average_attendance (number) , capacity_percentage (number)", "shrink-score": 0.9}
{"db_id": "game_injury", "question": "What are the player name, number of matches, and information source for players who do not suffer from injury of 'Knee problem'?", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "injury_accident : player (text) , number_of_matches (text) , source (text) , injury (text)", "shrink-score": 0.8}
{"db_id": "game_injury", "question": "What is the season of the game which causes the player 'Walter Samuel' to get injured?", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "game : season (number) , id (number) | injury_accident : id (number) , game_id (number) , player (text)", "shrink-score": 0.75}
{"db_id": "game_injury", "question": "What are the ids, scores, and dates of the games which caused at least two injury accidents?", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "game : id (number) , score (text) , date (text) | injury_accident : id (number) , game_id (number)", "shrink-score": 0.75}
{"db_id": "game_injury", "question": "What are the id and name of the stadium where the most injury accidents happened?", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "stadium : id (number) , name (text) | game : id (number) , stadium_id (number) | injury_accident : id (number) , game_id (number)", "shrink-score": 0.7}
{"db_id": "game_injury", "question": "Find the id and name of the stadium where the largest number of injury accidents occurred.", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "stadium : id (number) , name (text) | game : id (number) , stadium_id (number) | injury_accident : id (number) , game_id (number)", "shrink-score": 0.7}
{"db_id": "game_injury", "question": "In which season and which stadium did any player have an injury of 'Foot injury' or 'Knee problem'?", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "game : season (number) , stadium_id (number) , id (number) | stadium : name (text) , id (number) | injury_accident : id (number) , game_id (number) , injury (text)", "shrink-score": 0.6}
{"db_id": "game_injury", "question": "How many different kinds of information sources are there for injury accidents?", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "injury_accident : source (text)", "shrink-score": 0.95}
{"db_id": "game_injury", "question": "How many games are free of injury accidents?", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "game : id (number) | injury_accident : id (number) , game_id (number)", "shrink-score": 0.85}
{"db_id": "game_injury", "question": "How many distinct kinds of injuries happened after season 2010?", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "injury_accident : injury (text) , game_id (number) , id (number) | game : id (number) , season (number)", "shrink-score": 0.75}
{"db_id": "game_injury", "question": "List the name of the stadium where both the player 'Walter Samuel' and the player 'Thiago Motta' got injured.", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "stadium : name (text) , id (number) | game : stadium_id (number) , id (number) | injury_accident : id (number) , game_id (number) , player (text)", "shrink-score": 0.65}
{"db_id": "game_injury", "question": "Show the name, average attendance, total attendance for stadiums where no accidents happened.", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "stadium : name (text) , average_attendance (number) , total_attendance (number) , id (number) | game : stadium_id (number) , id (number) | injury_accident : id (number) , game_id (number)", "shrink-score": 0.6}
{"db_id": "game_injury", "question": "Which stadium name contains the substring \"Bank\"?", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "stadium : name (text)", "shrink-score": 0.95}
{"db_id": "game_injury", "question": "How many games has each stadium held?", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "stadium : id (number) | game : id (number) , stadium_id (number)", "shrink-score": 0.85}
{"db_id": "game_injury", "question": "For each injury accident, find the date of the game and the name of the injured player in the game, and sort the results in descending order of game season.", "schema": "stadium : id (number) , name (text) , home_games (number) , average_attendance (number) , total_attendance (number) , capacity_percentage (number) | game : stadium_id (number) , id (number) , season (number) , date (text) , home_team (text) , away_team (text) , score (text) , competition (text) | injury_accident : game_id (number) , id (number) , player (text) , injury (text) , number_of_matches (text) , source (text)", "summarized-schema": "game : date (text) , id (number) , season (number) | injury_accident : player (text) , id (number) , game_id (number)", "shrink-score": 0.7}
{"db_id": "soccer_1", "question": "List all country and league names.", "schema": "player_attributes : id (number) , player_fifa_api_id (number) , player_api_id (number) , date (text) , overall_rating (number) , potential (number) , preferred_foot (text) , attacking_work_rate (text) , defensive_work_rate (text) , crossing (number) , finishing (number) , heading_accuracy (number) , short_passing (number) , volleys (number) , dribbling (number) , curve (number) , free_kick_accuracy (number) , long_passing (number) , ball_control (number) , acceleration (number) , sprint_speed (number) , agility (number) , reactions (number) , balance (number) , shot_power (number) , jumping (number) , stamina (number) , strength (number) , long_shots (number) , aggression (number) , interceptions (number) , positioning (number) , vision (number) , penalties (number) , marking (number) , standing_tackle (number) , sliding_tackle (number) , gk_diving (number) , gk_handling (number) , gk_kicking (number) , gk_positioning (number) , gk_reflexes (number) | sqlite_sequence : name (text) , seq (text) | player : id (number) , player_api_id (number) , player_name (text) , player_fifa_api_id (number) , birthday (text) , height (number) , weight (number) | league : id (number) , country_id (number) , name (text) | country : id (number) , name (text) | team : id (number) , team_api_id (number) , team_fifa_api_id (number) , team_long_name (text) , team_short_name (text) | team_attributes : id (number) , team_fifa_api_id (number) , team_api_id (number) , date (text) , buildupplayspeed (number) , buildupplayspeedclass (text) , buildupplaydribbling (number) , buildupplaydribblingclass (text) , buildupplaypassing (number) , buildupplaypassingclass (text) , buildupplaypositioningclass (text) , chancecreationpassing (number) , chancecreationpassingclass (text) , chancecreationcrossing (number) , chancecreationcrossingclass (text) , chancecreationshooting (number) , chancecreationshootingclass (text) , chancecreationpositioningclass (text) , defencepressure (number) , defencepressureclass (text) , defenceaggression (number) , defenceaggressionclass (text) , defenceteamwidth (number) , defenceteamwidthclass (text) , defencedefenderlineclass (text)", "summarized-schema": "league : name (text) , id (number) , country_id (number) | country : name (text) , id (number)", "shrink-score": 0.9418604651162791}
{"db_id": "soccer_1", "question": "How many leagues are there in England?", "schema": "player_attributes : id (number) , player_fifa_api_id (number) , player_api_id (number) , date (text) , overall_rating (number) , potential (number) , preferred_foot (text) , attacking_work_rate (text) , defensive_work_rate (text) , crossing (number) , finishing (number) , heading_accuracy (number) , short_passing (number) , volleys (number) , dribbling (number) , curve (number) , free_kick_accuracy (number) , long_passing (number) , ball_control (number) , acceleration (number) , sprint_speed (number) , agility (number) , reactions (number) , balance (number) , shot_power (number) , jumping (number) , stamina (number) , strength (number) , long_shots (number) , aggression (number) , interceptions (number) , positioning (number) , vision (number) , penalties (number) , marking (number) , standing_tackle (number) , sliding_tackle (number) , gk_diving (number) , gk_handling (number) , gk_kicking (number) , gk_positioning (number) , gk_reflexes (number) | sqlite_sequence : name (text) , seq (text) | player : id (number) , player_api_id (number) , player_name (text) , player_fifa_api_id (number) , birthday (text) , height (number) , weight (number) | league : id (number) , country_id (number) , name (text) | country : id (number) , name (text) | team : id (number) , team_api_id (number) , team_fifa_api_id (number) , team_long_name (text) , team_short_name (text) | team_attributes : id (number) , team_fifa_api_id (number) , team_api_id (number) , date (text) , buildupplayspeed (number) , buildupplayspeedclass (text) , buildupplaydribbling (number) , buildupplaydribblingclass (text) , buildupplaypassing (number) , buildupplaypassingclass (text) , buildupplaypositioningclass (text) , chancecreationpassing (number) , chancecreationpassingclass (text) , chancecreationcrossing (number) , chancecreationcrossingclass (text) , chancecreationshooting (number) , chancecreationshootingclass (text) , chancecreationpositioningclass (text) , defencepressure (number) , defencepressureclass (text) , defenceaggression (number) , defenceaggressionclass (text) , defenceteamwidth (number) , defenceteamwidthclass (text) , defencedefenderlineclass (text)", "summarized-schema": "league : id (number) , country_id (number) , name (text) | country : id (number) , name (text)", "shrink-score": 0.9418604651162791}
{"db_id": "soccer_1", "question": "What is the average weight of all players?", "schema": "player_attributes : id (number) , player_fifa_api_id (number) , player_api_id (number) , date (text) , overall_rating (number) , potential (number) , preferred_foot (text) , attacking_work_rate (text) , defensive_work_rate (text) , crossing (number) , finishing (number) , heading_accuracy (number) , short_passing (number) , volleys (number) , dribbling (number) , curve (number) , free_kick_accuracy (number) , long_passing (number) , ball_control (number) , acceleration (number) , sprint_speed (number) , agility (number) , reactions (number) , balance (number) , shot_power (number) , jumping (number) , stamina (number) , strength (number) , long_shots (number) , aggression (number) , interceptions (number) , positioning (number) , vision (number) , penalties (number) , marking (number) , standing_tackle (number) , sliding_tackle (number) , gk_diving (number) , gk_handling (number) , gk_kicking (number) , gk_positioning (number) , gk_reflexes (number) | sqlite_sequence : name (text) , seq (text) | player : id (number) , player_api_id (number) , player_name (text) , player_fifa_api_id (number) , birthday (text) , height (number) , weight (number) | league : id (number) , country_id (number) , name (text) | country : id (number) , name (text) | team : id (number) , team_api_id (number) , team_fifa_api_id (number) , team_long_name (text) , team_short_name (text) | team_attributes : id (number) , team_fifa_api_id (number) , team_api_id (number) , date (text) , buildupplayspeed (number) , buildupplayspeedclass (text) , buildupplaydribbling (number) , buildupplaydribblingclass (text) , buildupplaypassing (number) , buildupplaypassingclass (text) , buildupplaypositioningclass (text) , chancecreationpassing (number) , chancecreationpassingclass (text) , chancecreationcrossing (number) , chancecreationcrossingclass (text) , chancecreationshooting (number) , chancecreationshootingclass (text) , chancecreationpositioningclass (text) , defencepressure (number) , defencepressureclass (text) , defenceaggression (number) , defenceaggressionclass (text) , defenceteamwidth (number) , defenceteamwidthclass (text) , defencedefenderlineclass (text)", "summarized-schema": "player : weight (number)", "shrink-score": 0.9883720930232558}
{"db_id": "soccer_1", "question": "What is the maximum and minimum height of all players?", "schema": "player_attributes : id (number) , player_fifa_api_id (number) , player_api_id (number) , date (text) , overall_rating (number) , potential (number) , preferred_foot (text) , attacking_work_rate (text) , defensive_work_rate (text) , crossing (number) , finishing (number) , heading_accuracy (number) , short_passing (number) , volleys (number) , dribbling (number) , curve (number) , free_kick_accuracy (number) , long_passing (number) , ball_control (number) , acceleration (number) , sprint_speed (number) , agility (number) , reactions (number) , balance (number) , shot_power (number) , jumping (number) , stamina (number) , strength (number) , long_shots (number) , aggression (number) , interceptions (number) , positioning (number) , vision (number) , penalties (number) , marking (number) , standing_tackle (number) , sliding_tackle (number) , gk_diving (number) , gk_handling (number) , gk_kicking (number) , gk_positioning (number) , gk_reflexes (number) | sqlite_sequence : name (text) , seq (text) | player : id (number) , player_api_id (number) , player_name (text) , player_fifa_api_id (number) , birthday (text) , height (number) , weight (number) | league : id (number) , country_id (number) , name (text) | country : id (number) , name (text) | team : id (number) , team_api_id (number) , team_fifa_api_id (number) , team_long_name (text) , team_short_name (text) | team_attributes : id (number) , team_fifa_api_id (number) , team_api_id (number) , date (text) , buildupplayspeed (number) , buildupplayspeedclass (text) , buildupplaydribbling (number) , buildupplaydribblingclass (text) , buildupplaypassing (number) , buildupplaypassingclass (text) , buildupplaypositioningclass (text) , chancecreationpassing (number) , chancecreationpassingclass (text) , chancecreationcrossing (number) , chancecreationcrossingclass (text) , chancecreationshooting (number) , chancecreationshootingclass (text) , chancecreationpositioningclass (text) , defencepressure (number) , defencepressureclass (text) , defenceaggression (number) , defenceaggressionclass (text) , defenceteamwidth (number) , defenceteamwidthclass (text) , defencedefenderlineclass (text)", "summarized-schema": "player : weight (number)", "shrink-score": 0.9883720930232558}
{"db_id": "soccer_1", "question": "List all player names who have an overall rating higher than the average.", "schema": "player_attributes : id (number) , player_fifa_api_id (number) , player_api_id (number) , date (text) , overall_rating (number) , potential (number) , preferred_foot (text) , attacking_work_rate (text) , defensive_work_rate (text) , crossing (number) , finishing (number) , heading_accuracy (number) , short_passing (number) , volleys (number) , dribbling (number) , curve (number) , free_kick_accuracy (number) , long_passing (number) , ball_control (number) , acceleration (number) , sprint_speed (number) , agility (number) , reactions (number) , balance (number) , shot_power (number) , jumping (number) , stamina (number) , strength (number) , long_shots (number) , aggression (number) , interceptions (number) , positioning (number) , vision (number) , penalties (number) , marking (number) , standing_tackle (number) , sliding_tackle (number) , gk_diving (number) , gk_handling (number) , gk_kicking (number) , gk_positioning (number) , gk_reflexes (number) | sqlite_sequence : name (text) , seq (text) | player : id (number) , player_api_id (number) , player_name (text) , player_fifa_api_id (number) , birthday (text) , height (number) , weight (number) | league : id (number) , country_id (number) , name (text) | country : id (number) , name (text) | team : id (number) , team_api_id (number) , team_fifa_api_id (number) , team_long_name (text) , team_short_name (text) | team_attributes : id (number) , team_fifa_api_id (number) , team_api_id (number) , date (text) , buildupplayspeed (number) , buildupplayspeedclass (text) , buildupplaydribbling (number) , buildupplaydribblingclass (text) , buildupplaypassing (number) , buildupplaypassingclass (text) , buildupplaypositioningclass (text) , chancecreationpassing (number) , chancecreationpassingclass (text) , chancecreationcrossing (number) , chancecreationcrossingclass (text) , chancecreationshooting (number) , chancecreationshootingclass (text) , chancecreationpositioningclass (text) , defencepressure (number) , defencepressureclass (text) , defenceaggression (number) , defenceaggressionclass (text) , defenceteamwidth (number) , defenceteamwidthclass (text) , defencedefenderlineclass (text)", "summarized-schema": "player : player_name (text) , player_api_id (number) | player_attributes : player_api_id (number) , overall_rating (number)", "shrink-score": 0.9534883720930233}
{"db_id": "soccer_1", "question": "What are the names of players who have the best dribbling?", "schema": "player_attributes : id (number) , player_fifa_api_id (number) , player_api_id (number) , date (text) , overall_rating (number) , potential (number) , preferred_foot (text) , attacking_work_rate (text) , defensive_work_rate (text) , crossing (number) , finishing (number) , heading_accuracy (number) , short_passing (number) , volleys (number) , dribbling (number) , curve (number) , free_kick_accuracy (number) , long_passing (number) , ball_control (number) , acceleration (number) , sprint_speed (number) , agility (number) , reactions (number) , balance (number) , shot_power (number) , jumping (number) , stamina (number) , strength (number) , long_shots (number) , aggression (number) , interceptions (number) , positioning (number) , vision (number) , penalties (number) , marking (number) , standing_tackle (number) , sliding_tackle (number) , gk_diving (number) , gk_handling (number) , gk_kicking (number) , gk_positioning (number) , gk_reflexes (number) | sqlite_sequence : name (text) , seq (text) | player : id (number) , player_api_id (number) , player_name (text) , player_fifa_api_id (number) , birthday (text) , height (number) , weight (number) | league : id (number) , country_id (number) , name (text) | country : id (number) , name (text) | team : id (number) , team_api_id (number) , team_fifa_api_id (number) , team_long_name (text) , team_short_name (text) | team_attributes : id (number) , team_fifa_api_id (number) , team_api_id (number) , date (text) , buildupplayspeed (number) , buildupplayspeedclass (text) , buildupplaydribbling (number) , buildupplaydribblingclass (text) , buildupplaypassing (number) , buildupplaypassingclass (text) , buildupplaypositioningclass (text) , chancecreationpassing (number) , chancecreationpassingclass (text) , chancecreationcrossing (number) , chancecreationcrossingclass (text) , chancecreationshooting (number) , chancecreationshootingclass (text) , chancecreationpositioningclass (text) , defencepressure (number) , defencepressureclass (text) , defenceaggression (number) , defenceaggressionclass (text) , defenceteamwidth (number) , defenceteamwidthclass (text) , defencedefenderlineclass (text)", "summarized-schema": "player : player_name (text) , player_api_id (number) | player_attributes : player_api_id (number) , dribbling (number) , overall_rating (number)", "shrink-score": 0.9418604651162791}
{"db_id": "soccer_1", "question": "List the names of all players who have a crossing score higher than 90 and prefer their right foot.", "schema": "player_attributes : id (number) , player_fifa_api_id (number) , player_api_id (number) , date (text) , overall_rating (number) , potential (number) , preferred_foot (text) , attacking_work_rate (text) , defensive_work_rate (text) , crossing (number) , finishing (number) , heading_accuracy (number) , short_passing (number) , volleys (number) , dribbling (number) , curve (number) , free_kick_accuracy (number) , long_passing (number) , ball_control (number) , acceleration (number) , sprint_speed (number) , agility (number) , reactions (number) , balance (number) , shot_power (number) , jumping (number) , stamina (number) , strength (number) , long_shots (number) , aggression (number) , interceptions (number) , positioning (number) , vision (number) , penalties (number) , marking (number) , standing_tackle (number) , sliding_tackle (number) , gk_diving (number) , gk_handling (number) , gk_kicking (number) , gk_positioning (number) , gk_reflexes (number) | sqlite_sequence : name (text) , seq (text) | player : id (number) , player_api_id (number) , player_name (text) , player_fifa_api_id (number) , birthday (text) , height (number) , weight (number) | league : id (number) , country_id (number) , name (text) | country : id (number) , name (text) | team : id (number) , team_api_id (number) , team_fifa_api_id (number) , team_long_name (text) , team_short_name (text) | team_attributes : id (number) , team_fifa_api_id (number) , team_api_id (number) , date (text) , buildupplayspeed (number) , buildupplayspeedclass (text) , buildupplaydribbling (number) , buildupplaydribblingclass (text) , buildupplaypassing (number) , buildupplaypassingclass (text) , buildupplaypositioningclass (text) , chancecreationpassing (number) , chancecreationpassingclass (text) , chancecreationcrossing (number) , chancecreationcrossingclass (text) , chancecreationshooting (number) , chancecreationshootingclass (text) , chancecreationpositioningclass (text) , defencepressure (number) , defencepressureclass (text) , defenceaggression (number) , defenceaggressionclass (text) , defenceteamwidth (number) , defenceteamwidthclass (text) , defencedefenderlineclass (text)", "summarized-schema": "player : player_name (text) , player_api_id (number) | player_attributes : player_api_id (number) , crossing (number) , preferred_foot (text)", "shrink-score": 0.9418604651162791}
{"db_id": "soccer_1", "question": "List the names of all left-footed players who have overall rating between 85 and 90.", "schema": "player_attributes : id (number) , player_fifa_api_id (number) , player_api_id (number) , date (text) , overall_rating (number) , potential (number) , preferred_foot (text) , attacking_work_rate (text) , defensive_work_rate (text) , crossing (number) , finishing (number) , heading_accuracy (number) , short_passing (number) , volleys (number) , dribbling (number) , curve (number) , free_kick_accuracy (number) , long_passing (number) , ball_control (number) , acceleration (number) , sprint_speed (number) , agility (number) , reactions (number) , balance (number) , shot_power (number) , jumping (number) , stamina (number) , strength (number) , long_shots (number) , aggression (number) , interceptions (number) , positioning (number) , vision (number) , penalties (number) , marking (number) , standing_tackle (number) , sliding_tackle (number) , gk_diving (number) , gk_handling (number) , gk_kicking (number) , gk_positioning (number) , gk_reflexes (number) | sqlite_sequence : name (text) , seq (text) | player : id (number) , player_api_id (number) , player_name (text) , player_fifa_api_id (number) , birthday (text) , height (number) , weight (number) | league : id (number) , country_id (number) , name (text) | country : id (number) , name (text) | team : id (number) , team_api_id (number) , team_fifa_api_id (number) , team_long_name (text) , team_short_name (text) | team_attributes : id (number) , team_fifa_api_id (number) , team_api_id (number) , date (text) , buildupplayspeed (number) , buildupplayspeedclass (text) , buildupplaydribbling (number) , buildupplaydribblingclass (text) , buildupplaypassing (number) , buildupplaypassingclass (text) , buildupplaypositioningclass (text) , chancecreationpassing (number) , chancecreationpassingclass (text) , chancecreationcrossing (number) , chancecreationcrossingclass (text) , chancecreationshooting (number) , chancecreationshootingclass (text) , chancecreationpositioningclass (text) , defencepressure (number) , defencepressureclass (text) , defenceaggression (number) , defenceaggressionclass (text) , defenceteamwidth (number) , defenceteamwidthclass (text) , defencedefenderlineclass (text)", "summarized-schema": "player : player_name (text) , player_api_id (number) | player_attributes : player_api_id (number) , preferred_foot (text) , overall_rating (number)", "shrink-score": 0.9418604651162791}
{"db_id": "soccer_1", "question": "What is the average rating for right-footed players and left-footed players?", "schema": "player_attributes : id (number) , player_fifa_api_id (number) , player_api_id (number) , date (text) , overall_rating (number) , potential (number) , preferred_foot (text) , attacking_work_rate (text) , defensive_work_rate (text) , crossing (number) , finishing (number) , heading_accuracy (number) , short_passing (number) , volleys (number) , dribbling (number) , curve (number) , free_kick_accuracy (number) , long_passing (number) , ball_control (number) , acceleration (number) , sprint_speed (number) , agility (number) , reactions (number) , balance (number) , shot_power (number) , jumping (number) , stamina (number) , strength (number) , long_shots (number) , aggression (number) , interceptions (number) , positioning (number) , vision (number) , penalties (number) , marking (number) , standing_tackle (number) , sliding_tackle (number) , gk_diving (number) , gk_handling (number) , gk_kicking (number) , gk_positioning (number) , gk_reflexes (number) | sqlite_sequence : name (text) , seq (text) | player : id (number) , player_api_id (number) , player_name (text) , player_fifa_api_id (number) , birthday (text) , height (number) , weight (number) | league : id (number) , country_id (number) , name (text) | country : id (number) , name (text) | team : id (number) , team_api_id (number) , team_fifa_api_id (number) , team_long_name (text) , team_short_name (text) | team_attributes : id (number) , team_fifa_api_id (number) , team_api_id (number) , date (text) , buildupplayspeed (number) , buildupplayspeedclass (text) , buildupplaydribbling (number) , buildupplaydribblingclass (text) , buildupplaypassing (number) , buildupplaypassingclass (text) , buildupplaypositioningclass (text) , chancecreationpassing (number) , chancecreationpassingclass (text) , chancecreationcrossing (number) , chancecreationcrossingclass (text) , chancecreationshooting (number) , chancecreationshootingclass (text) , chancecreationpositioningclass (text) , defencepressure (number) , defencepressureclass (text) , defenceaggression (number) , defenceaggressionclass (text) , defenceteamwidth (number) , defenceteamwidthclass (text) , defencedefenderlineclass (text)", "summarized-schema": "player_attributes : preferred_foot (text) , overall_rating (number)", "shrink-score": 0.9767441860465116}
{"db_id": "soccer_1", "question": "Of all players with an overall rating greater than 80, how many are right-footed and left-footed?", "schema": "player_attributes : id (number) , player_fifa_api_id (number) , player_api_id (number) , date (text) , overall_rating (number) , potential (number) , preferred_foot (text) , attacking_work_rate (text) , defensive_work_rate (text) , crossing (number) , finishing (number) , heading_accuracy (number) , short_passing (number) , volleys (number) , dribbling (number) , curve (number) , free_kick_accuracy (number) , long_passing (number) , ball_control (number) , acceleration (number) , sprint_speed (number) , agility (number) , reactions (number) , balance (number) , shot_power (number) , jumping (number) , stamina (number) , strength (number) , long_shots (number) , aggression (number) , interceptions (number) , positioning (number) , vision (number) , penalties (number) , marking (number) , standing_tackle (number) , sliding_tackle (number) , gk_diving (number) , gk_handling (number) , gk_kicking (number) , gk_positioning (number) , gk_reflexes (number) | sqlite_sequence : name (text) , seq (text) | player : id (number) , player_api_id (number) , player_name (text) , player_fifa_api_id (number) , birthday (text) , height (number) , weight (number) | league : id (number) , country_id (number) , name (text) | country : id (number) , name (text) | team : id (number) , team_api_id (number) , team_fifa_api_id (number) , team_long_name (text) , team_short_name (text) | team_attributes : id (number) , team_fifa_api_id (number) , team_api_id (number) , date (text) , buildupplayspeed (number) , buildupplayspeedclass (text) , buildupplaydribbling (number) , buildupplaydribblingclass (text) , buildupplaypassing (number) , buildupplaypassingclass (text) , buildupplaypositioningclass (text) , chancecreationpassing (number) , chancecreationpassingclass (text) , chancecreationcrossing (number) , chancecreationcrossingclass (text) , chancecreationshooting (number) , chancecreationshootingclass (text) , chancecreationpositioningclass (text) , defencepressure (number) , defencepressureclass (text) , defenceaggression (number) , defenceaggressionclass (text) , defenceteamwidth (number) , defenceteamwidthclass (text) , defencedefenderlineclass (text)", "summarized-schema": "player_attributes : preferred_foot (text) , overall_rating (number) , id (number)", "shrink-score": 0.9651162790697675}
{"db_id": "soccer_1", "question": "List all of the player ids with a height of at least 180cm and an overall rating higher than 85.", "schema": "player_attributes : id (number) , player_fifa_api_id (number) , player_api_id (number) , date (text) , overall_rating (number) , potential (number) , preferred_foot (text) , attacking_work_rate (text) , defensive_work_rate (text) , crossing (number) , finishing (number) , heading_accuracy (number) , short_passing (number) , volleys (number) , dribbling (number) , curve (number) , free_kick_accuracy (number) , long_passing (number) , ball_control (number) , acceleration (number) , sprint_speed (number) , agility (number) , reactions (number) , balance (number) , shot_power (number) , jumping (number) , stamina (number) , strength (number) , long_shots (number) , aggression (number) , interceptions (number) , positioning (number) , vision (number) , penalties (number) , marking (number) , standing_tackle (number) , sliding_tackle (number) , gk_diving (number) , gk_handling (number) , gk_kicking (number) , gk_positioning (number) , gk_reflexes (number) | sqlite_sequence : name (text) , seq (text) | player : id (number) , player_api_id (number) , player_name (text) , player_fifa_api_id (number) , birthday (text) , height (number) , weight (number) | league : id (number) , country_id (number) , name (text) | country : id (number) , name (text) | team : id (number) , team_api_id (number) , team_fifa_api_id (number) , team_long_name (text) , team_short_name (text) | team_attributes : id (number) , team_fifa_api_id (number) , team_api_id (number) , date (text) , buildupplayspeed (number) , buildupplayspeedclass (text) , buildupplaydribbling (number) , buildupplaydribblingclass (text) , buildupplaypassing (number) , buildupplaypassingclass (text) , buildupplaypositioningclass (text) , chancecreationpassing (number) , chancecreationpassingclass (text) , chancecreationcrossing (number) , chancecreationcrossingclass (text) , chancecreationshooting (number) , chancecreationshootingclass (text) , chancecreationpositioningclass (text) , defencepressure (number) , defencepressureclass (text) , defenceaggression (number) , defenceaggressionclass (text) , defenceteamwidth (number) , defenceteamwidthclass (text) , defencedefenderlineclass (text)", "summarized-schema": "player_attributes : player_api_id (number) , overall_rating (number) | player : player_api_id (number) , height (number)", "shrink-score": 0.9534883720930233}
{"db_id": "soccer_1", "question": "List all of the ids for left-footed players with a height between 180cm and 190cm.", "schema": "player_attributes : id (number) , player_fifa_api_id (number) , player_api_id (number) , date (text) , overall_rating (number) , potential (number) , preferred_foot (text) , attacking_work_rate (text) , defensive_work_rate (text) , crossing (number) , finishing (number) , heading_accuracy (number) , short_passing (number) , volleys (number) , dribbling (number) , curve (number) , free_kick_accuracy (number) , long_passing (number) , ball_control (number) , acceleration (number) , sprint_speed (number) , agility (number) , reactions (number) , balance (number) , shot_power (number) , jumping (number) , stamina (number) , strength (number) , long_shots (number) , aggression (number) , interceptions (number) , positioning (number) , vision (number) , penalties (number) , marking (number) , standing_tackle (number) , sliding_tackle (number) , gk_diving (number) , gk_handling (number) , gk_kicking (number) , gk_positioning (number) , gk_reflexes (number) | sqlite_sequence : name (text) , seq (text) | player : id (number) , player_api_id (number) , player_name (text) , player_fifa_api_id (number) , birthday (text) , height (number) , weight (number) | league : id (number) , country_id (number) , name (text) | country : id (number) , name (text) | team : id (number) , team_api_id (number) , team_fifa_api_id (number) , team_long_name (text) , team_short_name (text) | team_attributes : id (number) , team_fifa_api_id (number) , team_api_id (number) , date (text) , buildupplayspeed (number) , buildupplayspeedclass (text) , buildupplaydribbling (number) , buildupplaydribblingclass (text) , buildupplaypassing (number) , buildupplaypassingclass (text) , buildupplaypositioningclass (text) , chancecreationpassing (number) , chancecreationpassingclass (text) , chancecreationcrossing (number) , chancecreationcrossingclass (text) , chancecreationshooting (number) , chancecreationshootingclass (text) , chancecreationpositioningclass (text) , defencepressure (number) , defencepressureclass (text) , defenceaggression (number) , defenceaggressionclass (text) , defenceteamwidth (number) , defenceteamwidthclass (text) , defencedefenderlineclass (text)", "summarized-schema": "player_attributes : player_api_id (number) , preferred_foot (text) | player : player_api_id (number) , height (number)", "shrink-score": 0.9534883720930233}
{"db_id": "soccer_1", "question": "Who are the top 3 players in terms of overall rating?", "schema": "player_attributes : id (number) , player_fifa_api_id (number) , player_api_id (number) , date (text) , overall_rating (number) , potential (number) , preferred_foot (text) , attacking_work_rate (text) , defensive_work_rate (text) , crossing (number) , finishing (number) , heading_accuracy (number) , short_passing (number) , volleys (number) , dribbling (number) , curve (number) , free_kick_accuracy (number) , long_passing (number) , ball_control (number) , acceleration (number) , sprint_speed (number) , agility (number) , reactions (number) , balance (number) , shot_power (number) , jumping (number) , stamina (number) , strength (number) , long_shots (number) , aggression (number) , interceptions (number) , positioning (number) , vision (number) , penalties (number) , marking (number) , standing_tackle (number) , sliding_tackle (number) , gk_diving (number) , gk_handling (number) , gk_kicking (number) , gk_positioning (number) , gk_reflexes (number) | sqlite_sequence : name (text) , seq (text) | player : id (number) , player_api_id (number) , player_name (text) , player_fifa_api_id (number) , birthday (text) , height (number) , weight (number) | league : id (number) , country_id (number) , name (text) | country : id (number) , name (text) | team : id (number) , team_api_id (number) , team_fifa_api_id (number) , team_long_name (text) , team_short_name (text) | team_attributes : id (number) , team_fifa_api_id (number) , team_api_id (number) , date (text) , buildupplayspeed (number) , buildupplayspeedclass (text) , buildupplaydribbling (number) , buildupplaydribblingclass (text) , buildupplaypassing (number) , buildupplaypassingclass (text) , buildupplaypositioningclass (text) , chancecreationpassing (number) , chancecreationpassingclass (text) , chancecreationcrossing (number) , chancecreationcrossingclass (text) , chancecreationshooting (number) , chancecreationshootingclass (text) , chancecreationpositioningclass (text) , defencepressure (number) , defencepressureclass (text) , defenceaggression (number) , defenceaggressionclass (text) , defenceteamwidth (number) , defenceteamwidthclass (text) , defencedefenderlineclass (text)", "summarized-schema": "player : player_name (text) , player_api_id (number) | player_attributes : player_api_id (number) , overall_rating (number)", "shrink-score": 0.9534883720930233}
{"db_id": "soccer_1", "question": "List the names and birthdays of the top five players in terms of potential.", "schema": "player_attributes : id (number) , player_fifa_api_id (number) , player_api_id (number) , date (text) , overall_rating (number) , potential (number) , preferred_foot (text) , attacking_work_rate (text) , defensive_work_rate (text) , crossing (number) , finishing (number) , heading_accuracy (number) , short_passing (number) , volleys (number) , dribbling (number) , curve (number) , free_kick_accuracy (number) , long_passing (number) , ball_control (number) , acceleration (number) , sprint_speed (number) , agility (number) , reactions (number) , balance (number) , shot_power (number) , jumping (number) , stamina (number) , strength (number) , long_shots (number) , aggression (number) , interceptions (number) , positioning (number) , vision (number) , penalties (number) , marking (number) , standing_tackle (number) , sliding_tackle (number) , gk_diving (number) , gk_handling (number) , gk_kicking (number) , gk_positioning (number) , gk_reflexes (number) | sqlite_sequence : name (text) , seq (text) | player : id (number) , player_api_id (number) , player_name (text) , player_fifa_api_id (number) , birthday (text) , height (number) , weight (number) | league : id (number) , country_id (number) , name (text) | country : id (number) , name (text) | team : id (number) , team_api_id (number) , team_fifa_api_id (number) , team_long_name (text) , team_short_name (text) | team_attributes : id (number) , team_fifa_api_id (number) , team_api_id (number) , date (text) , buildupplayspeed (number) , buildupplayspeedclass (text) , buildupplaydribbling (number) , buildupplaydribblingclass (text) , buildupplaypassing (number) , buildupplaypassingclass (text) , buildupplaypositioningclass (text) , chancecreationpassing (number) , chancecreationpassingclass (text) , chancecreationcrossing (number) , chancecreationcrossingclass (text) , chancecreationshooting (number) , chancecreationshootingclass (text) , chancecreationpositioningclass (text) , defencepressure (number) , defencepressureclass (text) , defenceaggression (number) , defenceaggressionclass (text) , defenceteamwidth (number) , defenceteamwidthclass (text) , defencedefenderlineclass (text)", "summarized-schema": "player : player_name (text) , birthday (text) , player_api_id (number) | player_attributes : player_api_id (number) , potential (number)", "shrink-score": 0.9418604651162791}
{"db_id": "performance_attendance", "question": "How many performances are there?", "schema": "member : member_id (text) , name (text) , nationality (text) , role (text) | performance : performance_id (number) , date (text) , host (text) , location (text) , attendance (number) | member_attendance : member_id (number) , performance_id (number) , num_of_pieces (number)", "summarized-schema": "performance : performance_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "performance_attendance", "question": "List the hosts of performances in ascending order of attendance.", "schema": "member : member_id (text) , name (text) , nationality (text) , role (text) | performance : performance_id (number) , date (text) , host (text) , location (text) , attendance (number) | member_attendance : member_id (number) , performance_id (number) , num_of_pieces (number)", "summarized-schema": "performance : host (text) , attendance (number)", "shrink-score": 0.8333333333333334}
{"db_id": "performance_attendance", "question": "What are the dates and locations of performances?", "schema": "member : member_id (text) , name (text) , nationality (text) , role (text) | performance : performance_id (number) , date (text) , host (text) , location (text) , attendance (number) | member_attendance : member_id (number) , performance_id (number) , num_of_pieces (number)", "summarized-schema": "performance : date (text) , location (text)", "shrink-score": 0.8333333333333334}
{"db_id": "performance_attendance", "question": "Show the attendances of the performances at location \"TD Garden\" or \"Bell Centre\"", "schema": "member : member_id (text) , name (text) , nationality (text) , role (text) | performance : performance_id (number) , date (text) , host (text) , location (text) , attendance (number) | member_attendance : member_id (number) , performance_id (number) , num_of_pieces (number)", "summarized-schema": "performance : attendance (number) , location (text)", "shrink-score": 0.8333333333333334}
{"db_id": "performance_attendance", "question": "What is the average number of attendees for performances?", "schema": "member : member_id (text) , name (text) , nationality (text) , role (text) | performance : performance_id (number) , date (text) , host (text) , location (text) , attendance (number) | member_attendance : member_id (number) , performance_id (number) , num_of_pieces (number)", "summarized-schema": "performance : attendance (number)", "shrink-score": 0.9166666666666666}
{"db_id": "performance_attendance", "question": "What is the date of the performance with the highest number of attendees?", "schema": "member : member_id (text) , name (text) , nationality (text) , role (text) | performance : performance_id (number) , date (text) , host (text) , location (text) , attendance (number) | member_attendance : member_id (number) , performance_id (number) , num_of_pieces (number)", "summarized-schema": "performance : date (text) , attendance (number)", "shrink-score": 0.8333333333333334}
{"db_id": "performance_attendance", "question": "Show different locations and the number of performances at each location.", "schema": "member : member_id (text) , name (text) , nationality (text) , role (text) | performance : performance_id (number) , date (text) , host (text) , location (text) , attendance (number) | member_attendance : member_id (number) , performance_id (number) , num_of_pieces (number)", "summarized-schema": "performance : location (text) , performance_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "performance_attendance", "question": "Show the most common location of performances.", "schema": "member : member_id (text) , name (text) , nationality (text) , role (text) | performance : performance_id (number) , date (text) , host (text) , location (text) , attendance (number) | member_attendance : member_id (number) , performance_id (number) , num_of_pieces (number)", "summarized-schema": "performance : location (text) , performance_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "performance_attendance", "question": "Show the locations that have at least two performances.", "schema": "member : member_id (text) , name (text) , nationality (text) , role (text) | performance : performance_id (number) , date (text) , host (text) , location (text) , attendance (number) | member_attendance : member_id (number) , performance_id (number) , num_of_pieces (number)", "summarized-schema": "performance : location (text) , performance_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "performance_attendance", "question": "Show the locations that have both performances with more than 2000 attendees and performances with less than 1000 attendees.", "schema": "member : member_id (text) , name (text) , nationality (text) , role (text) | performance : performance_id (number) , date (text) , host (text) , location (text) , attendance (number) | member_attendance : member_id (number) , performance_id (number) , num_of_pieces (number)", "summarized-schema": "performance : location (text) , attendance (number)", "shrink-score": 0.8333333333333334}
{"db_id": "performance_attendance", "question": "Show the names of members and the location of the performances they attended.", "schema": "member : member_id (text) , name (text) , nationality (text) , role (text) | performance : performance_id (number) , date (text) , host (text) , location (text) , attendance (number) | member_attendance : member_id (number) , performance_id (number) , num_of_pieces (number)", "summarized-schema": "member : name (text) , member_id (text) | performance : location (text) , performance_id (number) | member_attendance : member_id (number) , performance_id (number)", "shrink-score": 0.5}
{"db_id": "performance_attendance", "question": "Show the names of members and the location of performances they attended in ascending alphabetical order of their names.", "schema": "member : member_id (text) , name (text) , nationality (text) , role (text) | performance : performance_id (number) , date (text) , host (text) , location (text) , attendance (number) | member_attendance : member_id (number) , performance_id (number) , num_of_pieces (number)", "summarized-schema": "member : name (text) , member_id (text) | performance : location (text) , performance_id (number) | member_attendance : member_id (number) , performance_id (number)", "shrink-score": 0.5}
{"db_id": "performance_attendance", "question": "Show the dates of performances with attending members whose roles are \"Violin\".", "schema": "member : member_id (text) , name (text) , nationality (text) , role (text) | performance : performance_id (number) , date (text) , host (text) , location (text) , attendance (number) | member_attendance : member_id (number) , performance_id (number) , num_of_pieces (number)", "summarized-schema": "performance : date (text) , performance_id (number) | member : member_id (text) , role (text) | member_attendance : member_id (number) , performance_id (number)", "shrink-score": 0.5}
{"db_id": "performance_attendance", "question": "Show the names of members and the dates of performances they attended in descending order of attendance of the performances.", "schema": "member : member_id (text) , name (text) , nationality (text) , role (text) | performance : performance_id (number) , date (text) , host (text) , location (text) , attendance (number) | member_attendance : member_id (number) , performance_id (number) , num_of_pieces (number)", "summarized-schema": "member : name (text) , member_id (text) | performance : date (text) , performance_id (number) , attendance (number) | member_attendance : member_id (number) , performance_id (number)", "shrink-score": 0.4166666666666667}
{"db_id": "performance_attendance", "question": "List the names of members who did not attend any performance.", "schema": "member : member_id (text) , name (text) , nationality (text) , role (text) | performance : performance_id (number) , date (text) , host (text) , location (text) , attendance (number) | member_attendance : member_id (number) , performance_id (number) , num_of_pieces (number)", "summarized-schema": "member : name (text) , member_id (text) | member_attendance : member_id (number)", "shrink-score": 0.75}
{"db_id": "college_2", "question": "Find the buildings which have rooms with capacity more than 50.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "classroom : building (text) , capacity (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What are the distinct buildings with capacities of greater than 50?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "classroom : building (text) , capacity (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Count the number of rooms that are not in the Lamberton building.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "classroom : building (text)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "How many classrooms are not in Lamberton?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "classroom : building (text)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "What is the name and building of the departments whose budget is more than the average budget?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "department : dept_name (text) , building (text) , budget (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Give the name and building of the departments with greater than average budget.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "department : dept_name (text) , building (text) , budget (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find the room number of the rooms which can sit 50 to 100 students and their buildings.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "classroom : building (text) , room_number (text) , capacity (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the room numbers and corresponding buildings for classrooms which can seat between 50 to 100 students?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "classroom : building (text) , room_number (text) , capacity (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find the name and building of the department with the highest budget.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "department : dept_name (text) , building (text) , budget (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What is the department name and corresponding building for the department with the greatest budget?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "department : dept_name (text) , building (text) , budget (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What is the name of the student who has the highest total credits in the History department.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , dept_name (text) , tot_cred (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Give the name of the student in the History department with the most credits.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , dept_name (text) , tot_cred (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "How many rooms does the Lamberton building have?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "classroom : building (text)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "Count the number of classrooms in Lamberton.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "classroom : building (text)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "How many students have advisors?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "advisor : s_id (text)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "Count the number of students who have advisors.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "advisor : s_id (text)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "How many departments offer courses?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : dept_name (text)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "Count the number of departments which offer courses.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : dept_name (text)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "How many different courses offered by Physics department?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : course_id (text) , dept_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Count the number of courses in the Physics department.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : course_id (text) , dept_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the title of courses that have two prerequisites?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | prereq : course_id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the titles for courses with two prerequisites?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | prereq : course_id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find the title, credit, and department name of courses that have more than one prerequisites?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , credits (number) , dept_name (text) , course_id (text) | prereq : course_id (text)", "shrink-score": 0.8913043478260869}
{"db_id": "college_2", "question": "What is the title, credit value, and department name for courses with more than one prerequisite?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , credits (number) , dept_name (text) , course_id (text) | prereq : course_id (text)", "shrink-score": 0.8913043478260869}
{"db_id": "college_2", "question": "How many courses that do not have prerequisite?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : course_id (text) | prereq : course_id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Count the number of courses without prerequisites.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : course_id (text) | prereq : course_id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the name of the courses that do not have any prerequisite?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | prereq : course_id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the titles of courses without prerequisites?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | prereq : course_id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "How many different instructors have taught some course?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "teaches : id (text)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "Count the number of distinct instructors who have taught a course.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "teaches : id (text)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "Find the total budgets of the Marketing or Finance department.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "department : budget (number) , dept_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What is the sum of budgets of the Marketing and Finance departments?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "department : budget (number) , dept_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the department name of the instructor whose name contains 'Soisalon'.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : dept_name (text) , name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What is the name of the department with an instructure who has a name like 'Soisalon'?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : dept_name (text) , name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "How many rooms whose capacity is less than 50 does the Lamberton building have?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "classroom : building (text) , capacity (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Count the number of rooms in Lamberton with capacity lower than 50.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "classroom : building (text) , capacity (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the name and budget of departments whose budgets are more than the average budget.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "department : dept_name (text) , budget (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What are the names and budgets of departments with budgets greater than the average?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "department : dept_name (text) , budget (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "what is the name of the instructor who is in Statistics department and earns the lowest salary?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , dept_name (text) , salary (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Give the name of the lowest earning instructor in the Statistics department.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , dept_name (text) , salary (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find the title of course that is provided by both Statistics and Psychology departments.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , dept_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What is the title of a course that is listed in both the Statistics and Psychology departments?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , dept_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the title of course that is provided by Statistics but not Psychology departments.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , dept_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What are the titles of courses that are in the Statistics department but not the Psychology department?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , dept_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the id of instructors who taught a class in Fall 2009 but not in Spring 2010.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "teaches : id (text) , semester (text) , year (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the ids of instructors who taught in the Fall of 2009 but not in the Spring of 2010?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "teaches : id (text) , semester (text) , year (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find the name of students who took any class in the years of 2009 and 2010.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , id (text) | takes : id (text) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "What are the names of the students who took classes in 2009 or 2010?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , id (text) | takes : id (text) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "Find the names of the top 3 departments that provide the largest amount of courses?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : dept_name (text) , course_id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What are the names of the 3 departments with the most courses?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : dept_name (text) , course_id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the name of the department that offers the highest total credits?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : dept_name (text) , credits (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What is the name of the department with the most credits?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : dept_name (text) , credits (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "List the names of all courses ordered by their titles and credits.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , credits (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Given the titles of all courses, in order of titles and credits.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , credits (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Which department has the lowest budget?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "department : dept_name (text) , budget (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Give the name of the department with the lowest budget.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "department : dept_name (text) , budget (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "List the names and buildings of all departments sorted by the budget from large to small.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "department : dept_name (text) , building (text) , budget (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the names and buildings of the deparments, sorted by budget descending?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "department : dept_name (text) , building (text) , budget (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Who is the instructor with the highest salary?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , salary (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Give the name of the highest paid instructor.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , salary (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "List the information of all instructors ordered by their salary in ascending order.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : salary (number) , id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Give all information regarding instructors, in order of salary from least to greatest.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : salary (number) , id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the name of the students and their department names sorted by their total credits in ascending order.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , dept_name (text) , tot_cred (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the names of students and their respective departments, ordered by number of credits from least to greatest?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , dept_name (text) , tot_cred (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "list in alphabetic order all course names and their instructors' names in year 2008.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | instructor : name (text) , id (text) | teaches : course_id (text) , id (text) , year (number)", "shrink-score": 0.8478260869565217}
{"db_id": "college_2", "question": "Show all titles and their instructors' names for courses in 2008, in alphabetical order by title.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | instructor : name (text) , id (text) | teaches : course_id (text) , id (text) , year (number)", "shrink-score": 0.8478260869565217}
{"db_id": "college_2", "question": "Find the name of instructors who are advising more than one student.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) | advisor : i_id (text) , s_id (text)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "What are the names of instructors who advise more than one student?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) | advisor : i_id (text) , s_id (text)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "Find the name of the students who have more than one advisor?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , id (text) | advisor : s_id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the names of students who have more than one advisor?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , id (text) | advisor : s_id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find the number of rooms with more than 50 capacity for each building.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "classroom : building (text) , capacity (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "How many rooms in each building have a capacity of over 50?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "classroom : building (text) , capacity (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the maximum and average capacity among rooms in each building.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "classroom : capacity (number) , building (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What are the greatest and average capacity for rooms in each building?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "classroom : capacity (number) , building (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the title of the course that is offered by more than one department.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What are the titles of courses that are offered in more than one department?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the total credits of courses provided by different department.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : credits (number) , dept_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "How many total credits are offered by each department?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : credits (number) , dept_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the minimum salary for the departments whose average salary is above the average payment of all instructors.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : salary (number) , dept_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What is the lowest salary in departments with average salary greater than the overall average.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : salary (number) , dept_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the number of courses provided in each semester and year.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "section : semester (text) , year (number) , course_id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "How many courses are provided in each semester and year?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "section : semester (text) , year (number) , course_id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find the year which offers the largest number of courses.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "section : year (number) , course_id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Which year had the greatest number of courses?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "section : year (number) , course_id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the year and semester when offers the largest number of courses.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "section : semester (text) , year (number) , course_id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What is the year and semester with the most courses?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "section : semester (text) , year (number) , course_id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find the name of department has the highest amount of students?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : dept_name (text) , id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What is the name of the deparment with the highest enrollment?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : dept_name (text) , id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the total number of students in each department.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : dept_name (text) , id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "How many students are in each department?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : dept_name (text) , id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the semester and year which has the least number of student taking any class.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "takes : semester (text) , year (number) , id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Which semeseter and year had the fewest students?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "takes : semester (text) , year (number) , id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What is the id of the instructor who advises of all students from History department?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "advisor : i_id (text) , s_id (text) | student : id (text) , dept_name (text)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "Give id of the instructor who advises students in the History department.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "advisor : i_id (text) , s_id (text) | student : id (text) , dept_name (text)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "Find the name and salary of the instructors who are advisors of any student from History department?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , salary (number) , id (text) , dept_name (text) | student : name (text) , id (text) , dept_name (text) | advisor : i_id (text) , s_id (text)", "shrink-score": 0.8043478260869565}
{"db_id": "college_2", "question": "What are the names and salaries of instructors who advises students in the History department?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , salary (number) , id (text) , dept_name (text) | student : name (text) , id (text) , dept_name (text) | advisor : i_id (text) , s_id (text)", "shrink-score": 0.8043478260869565}
{"db_id": "college_2", "question": "Find the id of the courses that do not have any prerequisite?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : course_id (text) | prereq : course_id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What are the ids of courses without prerequisites?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : course_id (text) | prereq : course_id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the name of the courses that do not have any prerequisite?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | prereq : course_id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the names of courses without prerequisites?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | prereq : course_id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What is the title of the prerequisite class of International Finance course?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | prereq : course_id (text) , prereq_id (text)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "Give the title of the prerequisite to the course International Finance.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | prereq : course_id (text) , prereq_id (text)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "Find the title of course whose prerequisite is course Differential Geometry.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | prereq : course_id (text) , prereq_id (text)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "What is the title of the course with Differential Geometry as a prerequisite?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | prereq : course_id (text) , prereq_id (text)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "Find the names of students who have taken any course in the fall semester of year 2003.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , id (text) | takes : id (text) , semester (text) , year (number)", "shrink-score": 0.8913043478260869}
{"db_id": "college_2", "question": "What are the names of students who took a course in the Fall of 2003?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , id (text) | takes : id (text) , semester (text) , year (number)", "shrink-score": 0.8913043478260869}
{"db_id": "college_2", "question": "What is the title of the course that was offered at building Chandler during the fall semester in the year of 2010?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | section : course_id (text) , building (text) , semester (text) , year (number)", "shrink-score": 0.8695652173913043}
{"db_id": "college_2", "question": "Give the title of the course offered in Chandler during the Fall of 2010.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | section : course_id (text) , building (text) , semester (text) , year (number)", "shrink-score": 0.8695652173913043}
{"db_id": "college_2", "question": "Find the name of the instructors who taught C Programming course before.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) | teaches : id (text) , course_id (text) | course : course_id (text) , title (text)", "shrink-score": 0.8695652173913043}
{"db_id": "college_2", "question": "What are the names of instructors who have taught C Programming courses?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) | teaches : id (text) , course_id (text) | course : course_id (text) , title (text)", "shrink-score": 0.8695652173913043}
{"db_id": "college_2", "question": "Find the name and salary of instructors who are advisors of the students from the Math department.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , salary (number) , id (text) , dept_name (text) | student : name (text) , id (text) , dept_name (text) | advisor : i_id (text) , s_id (text)", "shrink-score": 0.8043478260869565}
{"db_id": "college_2", "question": "What are the names and salaries of instructors who advise students in the Math department?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , salary (number) , id (text) , dept_name (text) | student : name (text) , id (text) , dept_name (text) | advisor : i_id (text) , s_id (text)", "shrink-score": 0.8043478260869565}
{"db_id": "college_2", "question": "Find the name of instructors who are advisors of the students from the Math department, and sort the results by students' total credit.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) , dept_name (text) | student : name (text) , id (text) , dept_name (text) , tot_cred (number) | advisor : i_id (text) , s_id (text)", "shrink-score": 0.8043478260869565}
{"db_id": "college_2", "question": "What are the names of all instructors who advise students in the math depart sorted by total credits of the student.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) , dept_name (text) | student : name (text) , id (text) , dept_name (text) , tot_cred (number) | advisor : i_id (text) , s_id (text)", "shrink-score": 0.8043478260869565}
{"db_id": "college_2", "question": "What is the course title of the prerequisite of course Mobile Computing?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | prereq : course_id (text) , prereq_id (text)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "What is the title of the course that is a prerequisite for Mobile Computing?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , course_id (text) | prereq : course_id (text) , prereq_id (text)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "Find the name of instructor who is the advisor of the student who has the highest number of total credits.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) | student : name (text) , id (text) , tot_cred (number) | advisor : i_id (text) , s_id (text)", "shrink-score": 0.8478260869565217}
{"db_id": "college_2", "question": "What is the name of the instructor who advises the student with the greatest number of total credits?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) | student : name (text) , id (text) , tot_cred (number) | advisor : i_id (text) , s_id (text)", "shrink-score": 0.8478260869565217}
{"db_id": "college_2", "question": "Find the name of instructors who didn't teach any courses?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) | teaches : id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the names of instructors who didn't teach?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) | teaches : id (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find the id of instructors who didn't teach any courses?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : id (text) | teaches : id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What are the ids of instructors who didnt' teach?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : id (text) | teaches : id (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the names of instructors who didn't each any courses in any Spring semester.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) | teaches : id (text) , semester (text)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "What are the names of instructors who didn't teach courses in the Spring?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) | teaches : id (text) , semester (text)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "Find the name of the department which has the highest average salary of professors.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : dept_name (text) , salary (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Which department has the highest average instructor salary?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : dept_name (text) , salary (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the number and averaged salary of all instructors who are in the department with the highest budget.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : salary (number) , dept_name (text) , id (text) | department : dept_name (text) , budget (number)", "shrink-score": 0.8913043478260869}
{"db_id": "college_2", "question": "How many instructors are in the department with the highest budget, and what is their average salary?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : salary (number) , dept_name (text) , id (text) | department : dept_name (text) , budget (number)", "shrink-score": 0.8913043478260869}
{"db_id": "college_2", "question": "What is the title and credits of the course that is taught in the largest classroom (with the highest capacity)?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , credits (number) , course_id (text) | classroom : building (text) , room_number (text) , capacity (number) | section : building (text) , room_number (text) , course_id (text)", "shrink-score": 0.8043478260869565}
{"db_id": "college_2", "question": "Give the title and credits for the course that is taught in the classroom with the greatest capacity.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "course : title (text) , credits (number) , course_id (text) | classroom : building (text) , room_number (text) , capacity (number) | section : building (text) , room_number (text) , course_id (text)", "shrink-score": 0.8043478260869565}
{"db_id": "college_2", "question": "Find the name of students who didn't take any course from Biology department.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , id (text) , dept_name (text) | takes : id (text) , course_id (text) | course : course_id (text) , dept_name (text)", "shrink-score": 0.8478260869565217}
{"db_id": "college_2", "question": "What are the names of students who haven't taken any Biology courses?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , id (text) , dept_name (text) | takes : id (text) , course_id (text) | course : course_id (text) , dept_name (text)", "shrink-score": 0.8478260869565217}
{"db_id": "college_2", "question": "Find the total number of students and total number of instructors for each department.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : id (text) , dept_name (text) | student : id (text) , dept_name (text) | department : dept_name (text)", "shrink-score": 0.8913043478260869}
{"db_id": "college_2", "question": "How many students and instructors are in each department?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : id (text) , dept_name (text) | student : id (text) , dept_name (text) | department : dept_name (text)", "shrink-score": 0.8913043478260869}
{"db_id": "college_2", "question": "Find the name of students who have taken the prerequisite course of the course with title International Finance.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , id (text) | takes : id (text) , course_id (text) | course : course_id (text) , title (text) | prereq : course_id (text) , prereq_id (text)", "shrink-score": 0.8260869565217391}
{"db_id": "college_2", "question": "What are the names of students who have taken the prerequisite for the course International Finance?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , id (text) | takes : id (text) , course_id (text) | course : course_id (text) , title (text) | prereq : course_id (text) , prereq_id (text)", "shrink-score": 0.8260869565217391}
{"db_id": "college_2", "question": "Find the name and salary of instructors whose salary is below the average salary of the instructors in the Physics department.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , salary (number) , dept_name (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the names and salaries for instructors who earn less than the average salary of instructors in the Physics department?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , salary (number) , dept_name (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find the name of students who took some course offered by Statistics department.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , id (text) , dept_name (text) | course : course_id (text) , dept_name (text) | takes : course_id (text) , id (text)", "shrink-score": 0.8478260869565217}
{"db_id": "college_2", "question": "What are the names of students who have taken Statistics courses?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "student : name (text) , id (text) , dept_name (text) | course : course_id (text) , dept_name (text) | takes : course_id (text) , id (text)", "shrink-score": 0.8478260869565217}
{"db_id": "college_2", "question": "Find the building, room number, semester and year of all courses offered by Psychology department sorted by course titles.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "section : building (text) , room_number (text) , semester (text) , year (number) , course_id (text) | course : course_id (text) , dept_name (text) , title (text)", "shrink-score": 0.8260869565217391}
{"db_id": "college_2", "question": "What are the building, room number, semester and year of courses in the Psychology department, sorted using course title?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "section : building (text) , room_number (text) , semester (text) , year (number) , course_id (text) | course : course_id (text) , dept_name (text) , title (text)", "shrink-score": 0.8260869565217391}
{"db_id": "college_2", "question": "Find the names of all instructors in computer science department", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , dept_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What are the names of all instructors in the Comp. Sci. department?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , dept_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find the names of all instructors in Comp. Sci. department with salary > 80000.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , dept_name (text) , salary (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the names of the instructors in the Comp. Sci. department who earn more than 80000?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , dept_name (text) , salary (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find the names of all instructors who have taught some course and the course_id.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) | teaches : course_id (text) , id (text)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "What are the names of all instructors who have taught a course, as well as the corresponding course id?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) | teaches : course_id (text) , id (text)", "shrink-score": 0.9130434782608695}
{"db_id": "college_2", "question": "Find the names of all instructors in the Art department who have taught some course and the course_id.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) , dept_name (text) | teaches : course_id (text) , id (text)", "shrink-score": 0.8913043478260869}
{"db_id": "college_2", "question": "What are the names of Art instructors who have taught a course, and the corresponding course id?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , id (text) , dept_name (text) | teaches : course_id (text) , id (text)", "shrink-score": 0.8913043478260869}
{"db_id": "college_2", "question": "Find the names of all instructors whose name includes the substring \u201cdar\u201d.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "What are the names of all instructors with names that include \"dar\"?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "List in alphabetic order the names of all distinct instructors.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "List the distinct names of the instructors, ordered by name.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "Find courses that ran in Fall 2009 or in Spring 2010.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "section : course_id (text) , semester (text) , year (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the ids for courses in the Fall of 2009 or the Spring of 2010?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "section : course_id (text) , semester (text) , year (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find courses that ran in Fall 2009 and in Spring 2010.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "section : course_id (text) , semester (text) , year (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the ids for courses that were offered in both Fall of 2009 and Spring of 2010?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "section : course_id (text) , semester (text) , year (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find courses that ran in Fall 2009 but not in Spring 2010.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "section : course_id (text) , semester (text) , year (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the ids of courses offered in Fall of 2009 but not in Spring of 2010?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "section : course_id (text) , semester (text) , year (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find the salaries of all distinct instructors that are less than the largest salary.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : salary (number)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "What are the distinct salaries of all instructors who earned less than the maximum salary?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : salary (number)", "shrink-score": 0.9782608695652174}
{"db_id": "college_2", "question": "Find the total number of instructors who teach a course in the Spring 2010 semester.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "teaches : id (text) , semester (text) , year (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "How many instructors teach a course in the Spring of 2010?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "teaches : id (text) , semester (text) , year (number)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find the names and average salaries of all departments whose average salary is greater than 42000.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : dept_name (text) , salary (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "What are the names and average salaries for departments with average salary higher than 42000?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : dept_name (text) , salary (number)", "shrink-score": 0.9565217391304348}
{"db_id": "college_2", "question": "Find names of instructors with salary greater than that of some (at least one) instructor in the Biology department.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , salary (number) , dept_name (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the names of instructors who earn more than at least one instructor from the Biology department?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , salary (number) , dept_name (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "Find the names of all instructors whose salary is greater than the salary of all instructors in the Biology department.", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , salary (number) , dept_name (text)", "shrink-score": 0.9347826086956522}
{"db_id": "college_2", "question": "What are the names of all instructors with a higher salary than any of the instructors in the Biology department?", "schema": "classroom : building (text) , room_number (text) , capacity (number) | department : dept_name (text) , building (text) , budget (number) | course : course_id (text) , title (text) , dept_name (text) , credits (number) | instructor : id (text) , name (text) , dept_name (text) , salary (number) | section : course_id (text) , sec_id (text) , semester (text) , year (number) , building (text) , room_number (text) , time_slot_id (text) | teaches : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) | student : id (text) , name (text) , dept_name (text) , tot_cred (number) | takes : id (text) , course_id (text) , sec_id (text) , semester (text) , year (number) , grade (text) | advisor : s_id (text) , i_id (text) | time_slot : time_slot_id (text) , day (text) , start_hr (number) , start_min (number) , end_hr (number) , end_min (number) | prereq : course_id (text) , prereq_id (text)", "summarized-schema": "instructor : name (text) , salary (number) , dept_name (text)", "shrink-score": 0.9347826086956522}
{"db_id": "debate", "question": "How many debates are there?", "schema": "people : people_id (number) , district (text) , name (text) , party (text) , age (number) | debate : debate_id (number) , date (text) , venue (text) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number) , negative (number) , if_affirmative_win (others)", "summarized-schema": "debate : debate_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "debate", "question": "List the venues of debates in ascending order of the number of audience.", "schema": "people : people_id (number) , district (text) , name (text) , party (text) , age (number) | debate : debate_id (number) , date (text) , venue (text) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number) , negative (number) , if_affirmative_win (others)", "summarized-schema": "debate : venue (text) , num_of_audience (number)", "shrink-score": 0.8461538461538461}
{"db_id": "debate", "question": "What are the date and venue of each debate?", "schema": "people : people_id (number) , district (text) , name (text) , party (text) , age (number) | debate : debate_id (number) , date (text) , venue (text) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number) , negative (number) , if_affirmative_win (others)", "summarized-schema": "debate : date (text) , venue (text)", "shrink-score": 0.8461538461538461}
{"db_id": "debate", "question": "List the dates of debates with number of audience bigger than 150", "schema": "people : people_id (number) , district (text) , name (text) , party (text) , age (number) | debate : debate_id (number) , date (text) , venue (text) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number) , negative (number) , if_affirmative_win (others)", "summarized-schema": "debate : date (text) , num_of_audience (number)", "shrink-score": 0.8461538461538461}
{"db_id": "debate", "question": "Show the names of people aged either 35 or 36.", "schema": "people : people_id (number) , district (text) , name (text) , party (text) , age (number) | debate : debate_id (number) , date (text) , venue (text) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number) , negative (number) , if_affirmative_win (others)", "summarized-schema": "people : name (text) , age (number)", "shrink-score": 0.8461538461538461}
{"db_id": "debate", "question": "What is the party of the youngest people?", "schema": "people : people_id (number) , district (text) , name (text) , party (text) , age (number) | debate : debate_id (number) , date (text) , venue (text) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number) , negative (number) , if_affirmative_win (others)", "summarized-schema": "people : party (text) , age (number)", "shrink-score": 0.8461538461538461}
{"db_id": "debate", "question": "Show different parties of people along with the number of people in each party.", "schema": "people : people_id (number) , district (text) , name (text) , party (text) , age (number) | debate : debate_id (number) , date (text) , venue (text) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number) , negative (number) , if_affirmative_win (others)", "summarized-schema": "people : party (text) , people_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "debate", "question": "Show the party that has the most people.", "schema": "people : people_id (number) , district (text) , name (text) , party (text) , age (number) | debate : debate_id (number) , date (text) , venue (text) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number) , negative (number) , if_affirmative_win (others)", "summarized-schema": "people : party (text) , people_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "debate", "question": "Show the distinct venues of debates", "schema": "people : people_id (number) , district (text) , name (text) , party (text) , age (number) | debate : debate_id (number) , date (text) , venue (text) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number) , negative (number) , if_affirmative_win (others)", "summarized-schema": "debate : venue (text)", "shrink-score": 0.9230769230769231}
{"db_id": "debate", "question": "Show the names of people, and dates and venues of debates they are on the affirmative side.", "schema": "people : people_id (number) , district (text) , name (text) , party (text) , age (number) | debate : debate_id (number) , date (text) , venue (text) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number) , negative (number) , if_affirmative_win (others)", "summarized-schema": "people : name (text) , people_id (number) | debate : date (text) , venue (text) , debate_id (number) | debate_people : debate_id (number) , affirmative (number)", "shrink-score": 0.46153846153846156}
{"db_id": "debate", "question": "Show the names of people, and dates and venues of debates they are on the negative side, ordered in ascending alphabetical order of name.", "schema": "people : people_id (number) , district (text) , name (text) , party (text) , age (number) | debate : debate_id (number) , date (text) , venue (text) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number) , negative (number) , if_affirmative_win (others)", "summarized-schema": "people : name (text) , people_id (number) | debate : date (text) , venue (text) , debate_id (number) | debate_people : debate_id (number) , negative (number)", "shrink-score": 0.46153846153846156}
{"db_id": "debate", "question": "Show the names of people that are on affirmative side of debates with number of audience bigger than 200.", "schema": "people : people_id (number) , district (text) , name (text) , party (text) , age (number) | debate : debate_id (number) , date (text) , venue (text) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number) , negative (number) , if_affirmative_win (others)", "summarized-schema": "people : name (text) , people_id (number) | debate : debate_id (number) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number)", "shrink-score": 0.5384615384615384}
{"db_id": "debate", "question": "Show the names of people and the number of times they have been on the affirmative side of debates.", "schema": "people : people_id (number) , district (text) , name (text) , party (text) , age (number) | debate : debate_id (number) , date (text) , venue (text) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number) , negative (number) , if_affirmative_win (others)", "summarized-schema": "people : name (text) , people_id (number) | debate_people : affirmative (number) , debate_id (number)", "shrink-score": 0.6923076923076923}
{"db_id": "debate", "question": "Show the names of people who have been on the negative side of debates at least twice.", "schema": "people : people_id (number) , district (text) , name (text) , party (text) , age (number) | debate : debate_id (number) , date (text) , venue (text) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number) , negative (number) , if_affirmative_win (others)", "summarized-schema": "people : name (text) , people_id (number) | debate_people : negative (number) , debate_id (number)", "shrink-score": 0.6923076923076923}
{"db_id": "debate", "question": "List the names of people that have not been on the affirmative side of debates.", "schema": "people : people_id (number) , district (text) , name (text) , party (text) , age (number) | debate : debate_id (number) , date (text) , venue (text) , num_of_audience (number) | debate_people : debate_id (number) , affirmative (number) , negative (number) , if_affirmative_win (others)", "summarized-schema": "people : name (text) , people_id (number) | debate_people : affirmative (number)", "shrink-score": 0.7692307692307693}
{"db_id": "insurance_and_eClaims", "question": "List the names of all the customers in alphabetical order.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text)", "shrink-score": 0.9666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Sort the customer names in alphabetical order.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text)", "shrink-score": 0.9666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Find all the policy type codes associated with the customer \"Dayana Robel\"", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "policies : policy_type_code (text) , customer_id (number) | customers : customer_id (number) , customer_details (text)", "shrink-score": 0.8666666666666667}
{"db_id": "insurance_and_eClaims", "question": "What are the type codes of the policies used by the customer \"Dayana Robel\"?", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "policies : policy_type_code (text) , customer_id (number) | customers : customer_id (number) , customer_details (text)", "shrink-score": 0.8666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Which type of policy is most frequently used? Give me the policy type code.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "policies : policy_type_code (text) , policy_id (number)", "shrink-score": 0.9333333333333333}
{"db_id": "insurance_and_eClaims", "question": "Find the type code of the most frequently used policy.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "policies : policy_type_code (text) , policy_id (number)", "shrink-score": 0.9333333333333333}
{"db_id": "insurance_and_eClaims", "question": "Find all the policy types that are used by more than 2 customers.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "policies : policy_type_code (text) , policy_id (number)", "shrink-score": 0.9333333333333333}
{"db_id": "insurance_and_eClaims", "question": "Which types of policy are chosen by more than 2 customers? Give me the policy type codes.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "policies : policy_type_code (text) , policy_id (number)", "shrink-score": 0.9333333333333333}
{"db_id": "insurance_and_eClaims", "question": "Find the total and average amount paid in claim headers.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "claim_headers : amount_piad (number)", "shrink-score": 0.9666666666666667}
{"db_id": "insurance_and_eClaims", "question": "What are the total amount and average amount paid in claim headers?", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "claim_headers : amount_piad (number)", "shrink-score": 0.9666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Find the total amount claimed in the most recently created document.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "claim_headers : amount_claimed (number) , claim_header_id (number) | claims_documents : claim_id (number) , created_date (number)", "shrink-score": 0.8666666666666667}
{"db_id": "insurance_and_eClaims", "question": "How much amount in total were claimed in the most recently created document?", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "claim_headers : amount_claimed (number) , claim_header_id (number) | claims_documents : claim_id (number) , created_date (number)", "shrink-score": 0.8666666666666667}
{"db_id": "insurance_and_eClaims", "question": "What is the name of the customer who has made the largest amount of claim in a single claim?", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | policies : policy_id (number) , customer_id (number) | claim_headers : policy_id (number) , amount_claimed (number)", "shrink-score": 0.8}
{"db_id": "insurance_and_eClaims", "question": "Which customer made the largest amount of claim in a single claim? Return the customer details.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | policies : policy_id (number) , customer_id (number) | claim_headers : policy_id (number) , amount_claimed (number)", "shrink-score": 0.8}
{"db_id": "insurance_and_eClaims", "question": "What is the name of the customer who has made the minimum amount of payment in one claim?", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | policies : policy_id (number) , customer_id (number) | claim_headers : policy_id (number) , amount_piad (number)", "shrink-score": 0.8}
{"db_id": "insurance_and_eClaims", "question": "Which customer made the smallest amount of claim in one claim? Return the customer details.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | policies : policy_id (number) , customer_id (number) | claim_headers : policy_id (number) , amount_piad (number)", "shrink-score": 0.8}
{"db_id": "insurance_and_eClaims", "question": "Find the names of customers who have no policies associated.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | policies : customer_id (number)", "shrink-score": 0.9}
{"db_id": "insurance_and_eClaims", "question": "What are the names of customers who do not have any policies?", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | policies : customer_id (number)", "shrink-score": 0.9}
{"db_id": "insurance_and_eClaims", "question": "How many claim processing stages are there in total?", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "claims_processing_stages : claim_stage_id (number)", "shrink-score": 0.9666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Find the number of distinct stages in claim processing.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "claims_processing_stages : claim_stage_id (number)", "shrink-score": 0.9666666666666667}
{"db_id": "insurance_and_eClaims", "question": "What is the name of the claim processing stage that most of the claims are on?", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "claims_processing_stages : claim_status_name (text) , claim_stage_id (number) | claims_processing : claim_stage_id (number) , claim_processing_id (number)", "shrink-score": 0.8666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Which claim processing stage has the most claims? Show the claim status name.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "claims_processing_stages : claim_status_name (text) , claim_stage_id (number) | claims_processing : claim_stage_id (number) , claim_processing_id (number)", "shrink-score": 0.8666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Find the names of customers whose name contains \"Diana\".", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text)", "shrink-score": 0.9666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Which customers have the substring \"Diana\" in their names? Return the customer details.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text)", "shrink-score": 0.9666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Find the names of the customers who have an deputy policy.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | policies : customer_id (number) , policy_type_code (text)", "shrink-score": 0.8666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Which customers have an insurance policy with the type code \"Deputy\"? Give me the customer details.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | policies : customer_id (number) , policy_type_code (text)", "shrink-score": 0.8666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Find the names of customers who either have an deputy policy or uniformed policy.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | policies : customer_id (number) , policy_type_code (text)", "shrink-score": 0.8666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Which customers have an insurance policy with the type code \"Deputy\" or \"Uniform\"? Return the customer details.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | policies : customer_id (number) , policy_type_code (text)", "shrink-score": 0.8666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Find the names of all the customers and staff members.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) | staff : staff_details (text)", "shrink-score": 0.9333333333333333}
{"db_id": "insurance_and_eClaims", "question": "What are the names of the customers and staff members?", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) | staff : staff_details (text)", "shrink-score": 0.9333333333333333}
{"db_id": "insurance_and_eClaims", "question": "Find the number of records of each policy type and its type code.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "policies : policy_type_code (text) , policy_id (number)", "shrink-score": 0.9333333333333333}
{"db_id": "insurance_and_eClaims", "question": "For each policy type, return its type code and its count in the record.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "policies : policy_type_code (text) , policy_id (number)", "shrink-score": 0.9333333333333333}
{"db_id": "insurance_and_eClaims", "question": "Find the name of the customer that has been involved in the most policies.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | policies : customer_id (number) , policy_id (number)", "shrink-score": 0.8666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Which customer have the most policies? Give me the customer details.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | policies : customer_id (number) , policy_id (number)", "shrink-score": 0.8666666666666667}
{"db_id": "insurance_and_eClaims", "question": "What is the description of the claim status \"Open\"?", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "claims_processing_stages : claim_status_description (text) , claim_status_name (text)", "shrink-score": 0.9333333333333333}
{"db_id": "insurance_and_eClaims", "question": "Find the description of the claim status \"Open\".", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "claims_processing_stages : claim_status_description (text) , claim_status_name (text)", "shrink-score": 0.9333333333333333}
{"db_id": "insurance_and_eClaims", "question": "How many distinct claim outcome codes are there?", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "claims_processing : claim_outcome_code (text)", "shrink-score": 0.9666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Count the number of distinct claim outcome codes.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "claims_processing : claim_outcome_code (text)", "shrink-score": 0.9666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Which customer is associated with the latest policy?", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | policies : customer_id (number) , start_date (time)", "shrink-score": 0.8666666666666667}
{"db_id": "insurance_and_eClaims", "question": "Find the customer who started a policy most recently.", "schema": "customers : customer_id (number) , customer_details (text) | staff : staff_id (number) , staff_details (text) | policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claim_headers : claim_header_id (number) , claim_status_code (text) , claim_type_code (text) , policy_id (number) , date_of_claim (time) , date_of_settlement (time) , amount_claimed (number) , amount_piad (number) | claims_documents : claim_id (number) , document_type_code (text) , created_by_staff_id (number) , created_date (number) | claims_processing_stages : claim_stage_id (number) , next_claim_stage_id (number) , claim_status_name (text) , claim_status_description (text) | claims_processing : claim_processing_id (number) , claim_id (number) , claim_outcome_code (text) , claim_stage_id (number) , staff_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | policies : customer_id (number) , start_date (time)", "shrink-score": 0.8666666666666667}
{"db_id": "customers_and_invoices", "question": "Show the number of accounts.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : account_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "How many accounts are there?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : account_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "How many customers have opened an account?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : customer_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "Count the number of customers who have an account.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : customer_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "Show the id, the date of account opened, the account name, and other account detail for all accounts.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : account_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text)", "shrink-score": 0.9285714285714286}
{"db_id": "customers_and_invoices", "question": "What are the ids, date opened, name, and other details for all accounts?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : account_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text)", "shrink-score": 0.9285714285714286}
{"db_id": "customers_and_invoices", "question": "Show the id, the account name, and other account details for all accounts by the customer with first name 'Meaghan'.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : account_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) , customer_id (number) | customers : customer_id (number) , customer_first_name (text)", "shrink-score": 0.875}
{"db_id": "customers_and_invoices", "question": "What are the ids, names, dates of opening, and other details for accounts corresponding to the customer with the first name \"Meaghan\"?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : account_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) , customer_id (number) | customers : customer_id (number) , customer_first_name (text)", "shrink-score": 0.875}
{"db_id": "customers_and_invoices", "question": "Show the account name and other account detail for all accounts by the customer with first name Meaghan and last name Keeling.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : account_name (text) , other_account_details (text) , customer_id (number) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text)", "shrink-score": 0.8928571428571429}
{"db_id": "customers_and_invoices", "question": "What are the names and other details for accounts corresponding to the customer named Meaghan Keeling?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : account_name (text) , other_account_details (text) , customer_id (number) | customers : customer_id (number) , customer_first_name (text) , customer_last_name (text)", "shrink-score": 0.8928571428571429}
{"db_id": "customers_and_invoices", "question": "Show the first name and last name for the customer with account name 900.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_first_name (text) , customer_last_name (text) , customer_id (number) | accounts : customer_id (number) , account_name (text)", "shrink-score": 0.9107142857142857}
{"db_id": "customers_and_invoices", "question": "What are the full names of customers with the account name 900?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_first_name (text) , customer_last_name (text) , customer_id (number) | accounts : customer_id (number) , account_name (text)", "shrink-score": 0.9107142857142857}
{"db_id": "customers_and_invoices", "question": "How many customers don't have an account?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_id (number) | accounts : customer_id (number) , account_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "customers_and_invoices", "question": "Count the number of customers who do not have an account.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_id (number) | accounts : customer_id (number) , account_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "customers_and_invoices", "question": "Show the unique first names, last names, and phone numbers for all customers with any account.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_first_name (text) , customer_last_name (text) , phone_number (text) , customer_id (number) | accounts : customer_id (number)", "shrink-score": 0.9107142857142857}
{"db_id": "customers_and_invoices", "question": "What are the distinct first names, last names, and phone numbers for customers with accounts?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_first_name (text) , customer_last_name (text) , phone_number (text) , customer_id (number) | accounts : customer_id (number)", "shrink-score": 0.9107142857142857}
{"db_id": "customers_and_invoices", "question": "Show customer ids who don't have an account.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_id (number) | accounts : customer_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "What are the customer ids for customers who do not have an account?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_id (number) | accounts : customer_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "How many accounts does each customer have? List the number and customer id.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : customer_id (number) , account_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "Count the number of accounts corresponding to each customer id.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : customer_id (number) , account_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "What is the customer id, first and last name with most number of accounts.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) | accounts : customer_id (number) , account_id (number)", "shrink-score": 0.9107142857142857}
{"db_id": "customers_and_invoices", "question": "Return the id and full name of the customer with the most accounts.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) | accounts : customer_id (number) , account_id (number)", "shrink-score": 0.9107142857142857}
{"db_id": "customers_and_invoices", "question": "Show id, first name and last name for all customers and the number of accounts.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) | accounts : customer_id (number) , account_id (number)", "shrink-score": 0.9107142857142857}
{"db_id": "customers_and_invoices", "question": "What are the the full names and ids for all customers, and how many accounts does each have?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_id (number) , customer_first_name (text) , customer_last_name (text) | accounts : customer_id (number) , account_id (number)", "shrink-score": 0.9107142857142857}
{"db_id": "customers_and_invoices", "question": "Show first name and id for all customers with at least 2 accounts.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_first_name (text) , customer_id (number) | accounts : customer_id (number) , account_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "customers_and_invoices", "question": "What are the first names and ids for customers who have two or more accounts?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_first_name (text) , customer_id (number) | accounts : customer_id (number) , account_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "customers_and_invoices", "question": "Show the number of customers.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "Count the number of customers.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "Show the number of customers for each gender.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : gender (text) , customer_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "How many customers are there of each gender?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : gender (text) , customer_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "How many transaction does each account have? Show the number and account id.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "financial_transactions : account_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "Count the number of financial transactions that correspond to each account id.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "financial_transactions : account_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "How many transaction does account with name 337 have?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : account_id (number) , account_name (text) | financial_transactions : account_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "customers_and_invoices", "question": "Count the number of financial transactions that the account with the name 337 has.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : account_id (number) , account_name (text) | financial_transactions : account_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "customers_and_invoices", "question": "What is the average, minimum, maximum, and total transaction amount?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "financial_transactions : transaction_amount (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "Return the average, minimum, maximum, and total transaction amounts.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "financial_transactions : transaction_amount (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "Show ids for all transactions whose amounts are greater than the average.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "financial_transactions : transaction_id (number) , transaction_amount (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "What are the ids for transactions that have an amount greater than the average amount of a transaction?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "financial_transactions : transaction_id (number) , transaction_amount (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "Show the transaction types and the total amount of transactions.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "financial_transactions : transaction_type (text) , transaction_amount (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "What are total transaction amounts for each transaction type?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "financial_transactions : transaction_type (text) , transaction_amount (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "Show the account name, id and the number of transactions for each account.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : account_name (text) , account_id (number) | financial_transactions : account_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "customers_and_invoices", "question": "Return the names and ids of each account, as well as the number of transactions.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : account_name (text) , account_id (number) | financial_transactions : account_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "customers_and_invoices", "question": "Show the account id with most number of transactions.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "financial_transactions : account_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "What is the id of the account with the most transactions?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "financial_transactions : account_id (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "Show the account id and name with at least 4 transactions.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : account_id (number) , account_name (text) | financial_transactions : account_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "customers_and_invoices", "question": "What are the ids and names of accounts with 4 or more transactions?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "accounts : account_id (number) , account_name (text) | financial_transactions : account_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "customers_and_invoices", "question": "Show all product sizes.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "products : product_size (text)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "What are the different product sizes?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "products : product_size (text)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "Show all product colors.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "products : product_color (text)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "What are the different product colors?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "products : product_color (text)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "Show the invoice number and the number of transactions for each invoice.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "financial_transactions : invoice_number (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "How many transactions correspond to each invoice number?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "financial_transactions : invoice_number (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "What is the invoice number and invoice date for the invoice with most number of transactions?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "invoices : invoice_number (number) , invoice_date (time) | financial_transactions : invoice_number (number)", "shrink-score": 0.9464285714285714}
{"db_id": "customers_and_invoices", "question": "What is the invoice number and invoice date corresponding to the invoice with the greatest number of transactions?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "invoices : invoice_number (number) , invoice_date (time) | financial_transactions : invoice_number (number)", "shrink-score": 0.9464285714285714}
{"db_id": "customers_and_invoices", "question": "How many invoices do we have?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "invoices : invoice_number (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "Count the number of invoices.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "invoices : invoice_number (number)", "shrink-score": 0.9821428571428571}
{"db_id": "customers_and_invoices", "question": "Show invoice dates and order id and details for all invoices.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "invoices : invoice_date (time) , order_id (number) | orders : order_id (number) , order_details (text)", "shrink-score": 0.9285714285714286}
{"db_id": "customers_and_invoices", "question": "What are the invoice dates, order ids, and order details for all invoices?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "invoices : invoice_date (time) , order_id (number) | orders : order_id (number) , order_details (text)", "shrink-score": 0.9285714285714286}
{"db_id": "customers_and_invoices", "question": "Show the order ids and the number of invoices for each order.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "invoices : order_id (number) , invoice_number (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "How many invoices correspond to each order id?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "invoices : order_id (number) , invoice_number (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "What is the order id and order details for the order more than two invoices.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "orders : order_id (number) , order_details (text) | invoices : order_id (number) , invoice_number (number)", "shrink-score": 0.9285714285714286}
{"db_id": "customers_and_invoices", "question": "Return the order ids and details for orderes with two or more invoices.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "orders : order_id (number) , order_details (text) | invoices : order_id (number) , invoice_number (number)", "shrink-score": 0.9285714285714286}
{"db_id": "customers_and_invoices", "question": "What is the customer last name, id and phone number with most number of orders?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_last_name (text) , customer_id (number) , phone_number (text) | orders : customer_id (number) , order_id (number)", "shrink-score": 0.9107142857142857}
{"db_id": "customers_and_invoices", "question": "Return the last name, id and phone number of the customer who has made the greatest number of orders.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "customers : customer_last_name (text) , customer_id (number) , phone_number (text) | orders : customer_id (number) , order_id (number)", "shrink-score": 0.9107142857142857}
{"db_id": "customers_and_invoices", "question": "Show all product names without an order.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "products : product_name (text) , product_id (number) | order_items : product_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "customers_and_invoices", "question": "What are the names of products that have never been ordered?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "products : product_name (text) , product_id (number) | order_items : product_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "customers_and_invoices", "question": "Show all product names and the total quantity ordered for each product name.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "products : product_name (text) , product_id (number) | order_items : product_quantity (text) , product_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "customers_and_invoices", "question": "What are the different product names, and what is the sum of quantity ordered for each product?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "products : product_name (text) , product_id (number) | order_items : product_quantity (text) , product_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "customers_and_invoices", "question": "Show the order ids and the number of items in each order.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "order_items : order_id (number) , order_item_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "How many order items correspond to each order id?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "order_items : order_id (number) , order_item_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "Show the product ids and the number of unique orders containing each product.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "order_items : product_id (number) , order_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "How many distinct order ids correspond to each product?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "order_items : product_id (number) , order_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "Show all product names and the number of customers having an order on each product.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "products : product_name (text) , product_id (number) | order_items : product_id (number) , order_id (number) , order_item_id (number) | orders : order_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "customers_and_invoices", "question": "What are teh names of the different products, as well as the number of customers who have ordered each product.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "products : product_name (text) , product_id (number) | order_items : product_id (number) , order_id (number) , order_item_id (number) | orders : order_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "customers_and_invoices", "question": "Show order ids and the number of products in each order.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "order_items : order_id (number) , product_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "How many different products correspond to each order id?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "order_items : order_id (number) , product_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "Show order ids and the total quantity in each order.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "order_items : order_id (number) , product_quantity (text)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "Give the order ids for all orders, as well as the total product quantity in each.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "order_items : order_id (number) , product_quantity (text)", "shrink-score": 0.9642857142857143}
{"db_id": "customers_and_invoices", "question": "How many products were not included in any order?", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "products : product_id (number) | order_items : product_id (number) , order_item_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "customers_and_invoices", "question": "Count the number of products that were never ordered.", "schema": "customers : customer_id (number) , customer_first_name (text) , customer_middle_initial (text) , customer_last_name (text) , gender (text) , email_address (text) , login_name (text) , login_password (text) , phone_number (text) , town_city (text) , state_county_province (text) , country (text) | orders : order_id (number) , customer_id (number) , date_order_placed (time) , order_details (text) | invoices : invoice_number (number) , order_id (number) , invoice_date (time) | accounts : account_id (number) , customer_id (number) , date_account_opened (time) , account_name (text) , other_account_details (text) | product_categories : production_type_code (text) , product_type_description (text) , vat_rating (number) | products : product_id (number) , parent_product_id (number) , production_type_code (text) , unit_price (number) , product_name (text) , product_color (text) , product_size (text) | financial_transactions : transaction_id (number) , account_id (number) , invoice_number (number) , transaction_type (text) , transaction_date (time) , transaction_amount (number) , transaction_comment (text) , other_transaction_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , product_quantity (text) , other_order_item_details (text) | invoice_line_items : order_item_id (number) , invoice_number (number) , product_id (number) , product_title (text) , product_quantity (text) , product_price (number) , derived_product_cost (number) , derived_vat_payable (number) , derived_total_cost (number)", "summarized-schema": "products : product_id (number) | order_items : product_id (number) , order_item_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "wedding", "question": "How many churches opened before 1850 are there?", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "church : open_date (number) , church_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "wedding", "question": "Show the name, open date, and organizer for all churches.", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "church : name (text) , open_date (number) , organized_by (text)", "shrink-score": 0.7857142857142857}
{"db_id": "wedding", "question": "List all church names in descending order of opening date.", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "church : name (text) , open_date (number)", "shrink-score": 0.8571428571428571}
{"db_id": "wedding", "question": "Show the opening year in whcih at least two churches opened.", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "church : open_date (number) , church_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "wedding", "question": "Show the organizer and name for churches that opened between 1830 and 1840.", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "church : organized_by (text) , name (text) , open_date (number)", "shrink-score": 0.7857142857142857}
{"db_id": "wedding", "question": "Show all opening years and the number of churches that opened in that year.", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "church : open_date (number) , church_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "wedding", "question": "Show the name and opening year for three churches that opened most recently.", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "church : name (text) , open_date (number)", "shrink-score": 0.8571428571428571}
{"db_id": "wedding", "question": "How many female people are older than 30 in our record?", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "people : is_male (text) , age (number) , people_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "wedding", "question": "Show the country where people older than 30 and younger than 25 are from.", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "people : country (text) , age (number)", "shrink-score": 0.8571428571428571}
{"db_id": "wedding", "question": "Show the minimum, maximum, and average age for all people.", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "people : age (number)", "shrink-score": 0.9285714285714286}
{"db_id": "wedding", "question": "Show the name and country for all people whose age is smaller than the average.", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "people : name (text) , country (text) , age (number)", "shrink-score": 0.7857142857142857}
{"db_id": "wedding", "question": "Show the pair of male and female names in all weddings after year 2014", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "people : name (text) , people_id (number) | wedding : male_id (number) , female_id (number) , year (number)", "shrink-score": 0.6428571428571429}
{"db_id": "wedding", "question": "Show the name and age for all male people who don't have a wedding.", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "people : name (text) , age (number) , is_male (text) , people_id (number) | wedding : male_id (number)", "shrink-score": 0.6428571428571429}
{"db_id": "wedding", "question": "Show all church names except for those that had a wedding in year 2015.", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "church : name (text) , church_id (number) | wedding : church_id (number) , year (number)", "shrink-score": 0.7142857142857143}
{"db_id": "wedding", "question": "Show all church names that have hosted least two weddings.", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "church : name (text) , church_id (number) | wedding : church_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "wedding", "question": "Show the names for all females from Canada having a wedding in year 2016.", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "people : name (text) , people_id (number) , is_male (text) , country (text) | wedding : female_id (number) , year (number)", "shrink-score": 0.5714285714285714}
{"db_id": "wedding", "question": "How many weddings are there in year 2016?", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "wedding : year (number) , church_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "wedding", "question": "Show the church names for the weddings of all people older than 30.", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "people : name (text) , people_id (number) , age (number) | church : name (text) , church_id (number) | wedding : male_id (number) , female_id (number) , church_id (number)", "shrink-score": 0.42857142857142855}
{"db_id": "wedding", "question": "Show all countries and the number of people from each country.", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "people : country (text) , people_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "wedding", "question": "How many churches have a wedding in year 2016?", "schema": "people : people_id (number) , name (text) , country (text) , is_male (text) , age (number) | church : church_id (number) , name (text) , organized_by (text) , open_date (number) , continuation_of (text) | wedding : church_id (number) , male_id (number) , female_id (number) , year (number)", "summarized-schema": "wedding : church_id (number) , year (number)", "shrink-score": 0.8571428571428571}
{"db_id": "theme_gallery", "question": "How many artists do we have?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : artist_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "theme_gallery", "question": "Count the number of artists.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : artist_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "theme_gallery", "question": "Show all artist name, age, and country ordered by the yeared they joined.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , age (number) , country (text) , year_join (number)", "shrink-score": 0.6923076923076923}
{"db_id": "theme_gallery", "question": "What are the names, ages, and countries of artists, sorted by the year they joined?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , age (number) , country (text) , year_join (number)", "shrink-score": 0.6923076923076923}
{"db_id": "theme_gallery", "question": "What are all distinct country for artists?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : country (text)", "shrink-score": 0.9230769230769231}
{"db_id": "theme_gallery", "question": "Return the different countries for artists.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : country (text)", "shrink-score": 0.9230769230769231}
{"db_id": "theme_gallery", "question": "Show all artist names and the year joined who are not from United States.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , year_join (number) , country (text)", "shrink-score": 0.7692307692307693}
{"db_id": "theme_gallery", "question": "What are the names and year of joining for artists that do not have the country \"United States\"?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , year_join (number) , country (text)", "shrink-score": 0.7692307692307693}
{"db_id": "theme_gallery", "question": "How many artists are above age 46 and joined after 1990?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : age (number) , year_join (number) , artist_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "theme_gallery", "question": "Count the number of artists who are older than 46 and joined after 1990.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : age (number) , year_join (number) , artist_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "theme_gallery", "question": "What is the average and minimum age of all artists from United States.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : age (number) , country (text)", "shrink-score": 0.8461538461538461}
{"db_id": "theme_gallery", "question": "Return the average and minimum ages across artists from the United States.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : age (number) , country (text)", "shrink-score": 0.8461538461538461}
{"db_id": "theme_gallery", "question": "What is the name of the artist who joined latest?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , year_join (number)", "shrink-score": 0.8461538461538461}
{"db_id": "theme_gallery", "question": "Return the name of the artist who has the latest join year.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , year_join (number)", "shrink-score": 0.8461538461538461}
{"db_id": "theme_gallery", "question": "How many exhibition are there in year 2005 or after?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : year (number) , exhibition_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "theme_gallery", "question": "Count the number of exhibitions that happened in or after 2005.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : year (number) , exhibition_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "theme_gallery", "question": "Show theme and year for all exhibitions with ticket prices lower than 15.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : theme (text) , year (number) , ticket_price (number)", "shrink-score": 0.7692307692307693}
{"db_id": "theme_gallery", "question": "What are the theme and year for all exhibitions that have a ticket price under 15?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : theme (text) , year (number) , ticket_price (number)", "shrink-score": 0.7692307692307693}
{"db_id": "theme_gallery", "question": "Show all artist names and the number of exhibitions for each artist.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , artist_id (number) | exhibition : artist_id (number) , exhibition_id (number)", "shrink-score": 0.6923076923076923}
{"db_id": "theme_gallery", "question": "How many exhibitions has each artist had?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , artist_id (number) | exhibition : artist_id (number) , exhibition_id (number)", "shrink-score": 0.6923076923076923}
{"db_id": "theme_gallery", "question": "What is the name and country for the artist with most number of exhibitions?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , country (text) , artist_id (number) | exhibition : artist_id (number) , exhibition_id (number)", "shrink-score": 0.6153846153846154}
{"db_id": "theme_gallery", "question": "Return the name and country corresponding to the artist who has had the most exhibitions.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , country (text) , artist_id (number) | exhibition : artist_id (number) , exhibition_id (number)", "shrink-score": 0.6153846153846154}
{"db_id": "theme_gallery", "question": "Show names for artists without any exhibition.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , artist_id (number) | exhibition : artist_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "theme_gallery", "question": "What are the names of artists that have not had any exhibitions?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , artist_id (number) | exhibition : artist_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "theme_gallery", "question": "What is the theme and artist name for the exhibition with a ticket price higher than the average?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : theme (text) , artist_id (number) , ticket_price (number) | artist : name (text) , artist_id (number)", "shrink-score": 0.6153846153846154}
{"db_id": "theme_gallery", "question": "Return the names of artists and the themes of their exhibitions that had a ticket price higher than average.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : theme (text) , artist_id (number) , ticket_price (number) | artist : name (text) , artist_id (number)", "shrink-score": 0.6153846153846154}
{"db_id": "theme_gallery", "question": "Show the average, minimum, and maximum ticket prices for exhibitions for all years before 2009.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : ticket_price (number) , year (number)", "shrink-score": 0.8461538461538461}
{"db_id": "theme_gallery", "question": "What are the average, minimum, and maximum ticket prices for exhibitions that happened prior to 2009?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : ticket_price (number) , year (number)", "shrink-score": 0.8461538461538461}
{"db_id": "theme_gallery", "question": "Show theme and year for all exhibitions in an descending order of ticket price.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : theme (text) , year (number) , ticket_price (number)", "shrink-score": 0.7692307692307693}
{"db_id": "theme_gallery", "question": "What are the themes and years for exhibitions, sorted by ticket price descending?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : theme (text) , year (number) , ticket_price (number)", "shrink-score": 0.7692307692307693}
{"db_id": "theme_gallery", "question": "What is the theme, date, and attendance for the exhibition in year 2004?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : theme (text) , exhibition_id (number) , year (number) | exhibition_record : date (text) , attendance (number) , exhibition_id (number)", "shrink-score": 0.5384615384615384}
{"db_id": "theme_gallery", "question": "Return the themes, dates, and attendance for exhibitions that happened in 2004.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : theme (text) , exhibition_id (number) , year (number) | exhibition_record : date (text) , attendance (number) , exhibition_id (number)", "shrink-score": 0.5384615384615384}
{"db_id": "theme_gallery", "question": "Show all artist names who didn't have an exhibition in 2004.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , artist_id (number) | exhibition : artist_id (number) , year (number)", "shrink-score": 0.6923076923076923}
{"db_id": "theme_gallery", "question": "What are the names of artists who did not have an exhibition in 2004?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , artist_id (number) | exhibition : artist_id (number) , year (number)", "shrink-score": 0.6923076923076923}
{"db_id": "theme_gallery", "question": "Show the theme for exhibitions with both records of an attendance below 100 and above 500.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : theme (text) , exhibition_id (number) | exhibition_record : exhibition_id (number) , attendance (number)", "shrink-score": 0.6923076923076923}
{"db_id": "theme_gallery", "question": "Which themes have had corresponding exhibitions that have had attendance both below 100 and above 500?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : theme (text) , exhibition_id (number) | exhibition_record : exhibition_id (number) , attendance (number)", "shrink-score": 0.6923076923076923}
{"db_id": "theme_gallery", "question": "How many exhibitions have a attendance more than 100 or have a ticket price below 10?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : exhibition_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , attendance (number)", "shrink-score": 0.6923076923076923}
{"db_id": "theme_gallery", "question": "Count the number of exhibitions that have had an attendnance of over 100 or a ticket prices under 10.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "exhibition : exhibition_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , attendance (number)", "shrink-score": 0.6923076923076923}
{"db_id": "theme_gallery", "question": "Show all artist names with an average exhibition attendance over 200.", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , artist_id (number) | exhibition : exhibition_id (number) , artist_id (number) | exhibition_record : exhibition_id (number) , attendance (number)", "shrink-score": 0.5384615384615384}
{"db_id": "theme_gallery", "question": "What are the names of artist whose exhibitions draw over 200 attendees on average?", "schema": "artist : artist_id (number) , name (text) , country (text) , year_join (number) , age (number) | exhibition : exhibition_id (number) , year (number) , theme (text) , artist_id (number) , ticket_price (number) | exhibition_record : exhibition_id (number) , date (text) , attendance (number)", "summarized-schema": "artist : name (text) , artist_id (number) | exhibition : exhibition_id (number) , artist_id (number) | exhibition_record : exhibition_id (number) , attendance (number)", "shrink-score": 0.5384615384615384}
{"db_id": "epinions_1", "question": "Find the id of the item whose title is \"orange\".", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "item : i_id (number) , title (text)", "shrink-score": 0.8333333333333334}
{"db_id": "epinions_1", "question": "List all information in the item table.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "item : i_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "epinions_1", "question": "Find the number of reviews.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "review : a_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "epinions_1", "question": "How many users are there?", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "useracct : u_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "epinions_1", "question": "Find the average and maximum rating of all reviews.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "review : rating (number)", "shrink-score": 0.9166666666666666}
{"db_id": "epinions_1", "question": "Find the highest rank of all reviews.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "review : rank (number)", "shrink-score": 0.9166666666666666}
{"db_id": "epinions_1", "question": "How many different users wrote some reviews?", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "review : u_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "epinions_1", "question": "How many different items were reviewed by some users?", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "review : i_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "epinions_1", "question": "Find the number of items that did not receive any review.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "item : i_id (number) | review : i_id (number) , a_id (number)", "shrink-score": 0.75}
{"db_id": "epinions_1", "question": "Find the names of users who did not leave any review.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "useracct : name (text) , u_id (number) | review : u_id (number)", "shrink-score": 0.75}
{"db_id": "epinions_1", "question": "Find the names of goods that receive a rating of 10.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "item : title (text) , i_id (number) | review : i_id (number) , rating (number)", "shrink-score": 0.6666666666666666}
{"db_id": "epinions_1", "question": "Find the titles of items whose rating is higher than the average review rating of all items.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "item : title (text) , i_id (number) | review : i_id (number) , rating (number)", "shrink-score": 0.6666666666666666}
{"db_id": "epinions_1", "question": "Find the titles of items that received any rating below 5.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "item : title (text) , i_id (number) | review : i_id (number) , rating (number)", "shrink-score": 0.6666666666666666}
{"db_id": "epinions_1", "question": "Find the titles of items that received both a rating higher than 8 and a rating below 5.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "item : title (text) , i_id (number) | review : i_id (number) , rating (number)", "shrink-score": 0.6666666666666666}
{"db_id": "epinions_1", "question": "Find the names of items whose rank is higher than 3 and whose average rating is above 5.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "item : title (text) , i_id (number) | review : i_id (number) , rank (number) , rating (number)", "shrink-score": 0.5833333333333334}
{"db_id": "epinions_1", "question": "Find the name of the item with the lowest average rating.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "item : title (text) , i_id (number) | review : i_id (number) , rating (number)", "shrink-score": 0.6666666666666666}
{"db_id": "epinions_1", "question": "List the titles of all items in alphabetic order .", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "item : title (text)", "shrink-score": 0.9166666666666666}
{"db_id": "epinions_1", "question": "Find the name of the user who gives the most reviews.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "useracct : name (text) , u_id (number) | review : u_id (number) , a_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "epinions_1", "question": "Find the name and id of the item with the highest average rating.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "item : title (text) , i_id (number) | review : i_id (number) , rating (number)", "shrink-score": 0.6666666666666666}
{"db_id": "epinions_1", "question": "Find the name and id of the good with the highest average rank.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "item : title (text) , i_id (number) | review : i_id (number) , rank (number)", "shrink-score": 0.6666666666666666}
{"db_id": "epinions_1", "question": "For each user, return the name and the average rating of reviews given by them.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "useracct : name (text) , u_id (number) | review : rating (number) , u_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "epinions_1", "question": "For each user, find their name and the number of reviews written by them.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "useracct : name (text) , u_id (number) | review : u_id (number) , a_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "epinions_1", "question": "Find the name of the user who gave the highest rating.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "useracct : name (text) , u_id (number) | review : u_id (number) , rating (number)", "shrink-score": 0.6666666666666666}
{"db_id": "epinions_1", "question": "Find the name of the source user with the highest average trust score.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "useracct : name (text) , u_id (number) | trust : trust (number) , source_u_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "epinions_1", "question": "Find each target user's name and average trust score.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "useracct : name (text) , u_id (number) | trust : trust (number) , target_u_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "epinions_1", "question": "Find the name of the target user with the lowest trust score.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "useracct : name (text) , u_id (number) | trust : trust (number) , target_u_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "epinions_1", "question": "Find the names of the items that did not receive any review.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "item : title (text) , i_id (number) | review : i_id (number)", "shrink-score": 0.75}
{"db_id": "epinions_1", "question": "Find the names of users who did not leave any review.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "useracct : name (text) , u_id (number) | review : u_id (number)", "shrink-score": 0.75}
{"db_id": "epinions_1", "question": "Find the number of users who did not write any review.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "review : u_id (number) , a_id (number) | useracct : u_id (number)", "shrink-score": 0.75}
{"db_id": "epinions_1", "question": "Find the number of items without any review.", "schema": "item : i_id (number) , title (text) | review : a_id (number) , u_id (number) , i_id (number) , rating (number) , rank (number) | useracct : u_id (number) , name (text) | trust : source_u_id (number) , target_u_id (number) , trust (number)", "summarized-schema": "item : i_id (number) | review : i_id (number) , a_id (number)", "shrink-score": 0.75}
{"db_id": "riding_club", "question": "How many players are there?", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "player : player_id (number)", "shrink-score": 0.9629629629629629}
{"db_id": "riding_club", "question": "List the names of players in ascending order of votes.", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "player : player_name (text) , votes (number)", "shrink-score": 0.9259259259259259}
{"db_id": "riding_club", "question": "What are the gender and occupation of players?", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "player : gender (text) , occupation (text)", "shrink-score": 0.9259259259259259}
{"db_id": "riding_club", "question": "List the name and residence for players whose occupation is not \"Researcher\".", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "player : player_name (text) , residence (text) , occupation (text)", "shrink-score": 0.8888888888888888}
{"db_id": "riding_club", "question": "Show the names of sponsors of players whose residence is either \"Brandon\" or \"Birtle\".", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "player : sponsor_name (text) , residence (text)", "shrink-score": 0.9259259259259259}
{"db_id": "riding_club", "question": "What is the name of the player with the largest number of votes?", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "player : player_name (text) , votes (number)", "shrink-score": 0.9259259259259259}
{"db_id": "riding_club", "question": "Show different occupations along with the number of players in each occupation.", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "player : occupation (text) , player_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "riding_club", "question": "Please show the most common occupation of players.", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "player : occupation (text) , player_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "riding_club", "question": "Show the residences that have at least two players.", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "player : residence (text) , player_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "riding_club", "question": "Show the names of players and names of their coaches.", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "player : player_name (text) , player_id (number) | coach : coach_name (text) , coach_id (number) | player_coach : coach_id (number) , player_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "riding_club", "question": "Show the names of players coached by the rank 1 coach.", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "player : player_name (text) , player_id (number) , rank (text) | coach : coach_id (number) , rank (number) | player_coach : coach_id (number) , player_id (number)", "shrink-score": 0.7407407407407407}
{"db_id": "riding_club", "question": "Show the names and genders of players with a coach starting after 2011.", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "player : player_name (text) , gender (text) , player_id (number) | coach : gender (text) , coach_id (number) | player_coach : coach_id (number) , player_id (number) , starting_year (number)", "shrink-score": 0.7037037037037037}
{"db_id": "riding_club", "question": "Show the names of players and names of their coaches in descending order of the votes of players.", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "player : player_name (text) , player_id (number) , votes (number) | coach : coach_name (text) , coach_id (number) | player_coach : coach_id (number) , player_id (number)", "shrink-score": 0.7407407407407407}
{"db_id": "riding_club", "question": "List the names of players that do not have coaches.", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "player : player_name (text) , player_id (number) | player_coach : player_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "riding_club", "question": "Show the residences that have both a player of gender \"M\" and a player of gender \"F\".", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "player : residence (text) , gender (text)", "shrink-score": 0.9259259259259259}
{"db_id": "riding_club", "question": "How many coaches does each club has? List the club id, name and the number of coaches.", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "club : club_id (number) , club_name (text) | coach : club_id (number) , coach_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "riding_club", "question": "How many gold medals has the club with the most coaches won?", "schema": "player : player_id (number) , sponsor_name (text) , player_name (text) , gender (text) , residence (text) , occupation (text) , votes (number) , rank (text) | club : club_id (number) , club_name (text) , region (text) , start_year (number) | coach : coach_id (number) , coach_name (text) , gender (text) , club_id (number) , rank (number) | player_coach : player_id (number) , coach_id (number) , starting_year (number) | match_result : rank (number) , club_id (number) , gold (number) , big_silver (number) , small_silver (number) , bronze (number) , points (number)", "summarized-schema": "coach : club_id (number) , coach_id (number) | match_result : club_id (number) , gold (number) , rank (text)", "shrink-score": 0.8148148148148148}
{"db_id": "gymnast", "question": "How many gymnasts are there?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "gymnast : gymnast_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "gymnast", "question": "Count the number of gymnasts.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "gymnast : gymnast_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "gymnast", "question": "List the total points of gymnasts in descending order.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "gymnast : total_points (number)", "shrink-score": 0.9230769230769231}
{"db_id": "gymnast", "question": "What are the total points for all gymnasts, ordered by total points descending?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "gymnast : total_points (number)", "shrink-score": 0.9230769230769231}
{"db_id": "gymnast", "question": "List the total points of gymnasts in descending order of floor exercise points.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "gymnast : total_points (number) , floor_exercise_points (number)", "shrink-score": 0.8461538461538461}
{"db_id": "gymnast", "question": "What are the total points of gymnasts, ordered by their floor exercise points descending?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "gymnast : total_points (number) , floor_exercise_points (number)", "shrink-score": 0.8461538461538461}
{"db_id": "gymnast", "question": "What is the average horizontal bar points for all gymnasts?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "gymnast : horizontal_bar_points (number)", "shrink-score": 0.9230769230769231}
{"db_id": "gymnast", "question": "Return the average horizontal bar points across all gymnasts.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "gymnast : horizontal_bar_points (number)", "shrink-score": 0.9230769230769231}
{"db_id": "gymnast", "question": "What are the names of people in ascending alphabetical order?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : name (text)", "shrink-score": 0.9230769230769231}
{"db_id": "gymnast", "question": "Return the names of people, ordered alphabetically.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : name (text)", "shrink-score": 0.9230769230769231}
{"db_id": "gymnast", "question": "What are the names of gymnasts?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : name (text) , people_id (number) | gymnast : gymnast_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "gymnast", "question": "Return the names of the gymnasts.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : name (text) , people_id (number) | gymnast : gymnast_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "gymnast", "question": "What are the names of gymnasts whose hometown is not \"Santo Domingo\"?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : name (text) , people_id (number) , hometown (text) | gymnast : gymnast_id (number)", "shrink-score": 0.6923076923076923}
{"db_id": "gymnast", "question": "Return the names of gymnasts who did not grow up in Santo Domingo.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : name (text) , people_id (number) , hometown (text) | gymnast : gymnast_id (number)", "shrink-score": 0.6923076923076923}
{"db_id": "gymnast", "question": "What is the age of the tallest person?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : age (number) , height (number)", "shrink-score": 0.8461538461538461}
{"db_id": "gymnast", "question": "Return the age of the person with the greatest height.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : age (number) , height (number)", "shrink-score": 0.8461538461538461}
{"db_id": "gymnast", "question": "List the names of the top 5 oldest people.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : name (text) , age (number)", "shrink-score": 0.8461538461538461}
{"db_id": "gymnast", "question": "What are the names of the five oldest people?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : name (text) , age (number)", "shrink-score": 0.8461538461538461}
{"db_id": "gymnast", "question": "What is the total point count of the youngest gymnast?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "gymnast : total_points (number) , gymnast_id (number) | people : people_id (number) , age (number)", "shrink-score": 0.6923076923076923}
{"db_id": "gymnast", "question": "Return the total points of the gymnast with the lowest age.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "gymnast : total_points (number) , gymnast_id (number) | people : people_id (number) , age (number)", "shrink-score": 0.6923076923076923}
{"db_id": "gymnast", "question": "What is the average age of all gymnasts?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : age (number) , people_id (number) | gymnast : gymnast_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "gymnast", "question": "Return the average age across all gymnasts.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : age (number) , people_id (number) | gymnast : gymnast_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "gymnast", "question": "What are the distinct hometowns of gymnasts with total points more than 57.5?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : hometown (text) , people_id (number) | gymnast : gymnast_id (number) , total_points (number)", "shrink-score": 0.6923076923076923}
{"db_id": "gymnast", "question": "Give the different hometowns of gymnasts that have a total point score of above 57.5.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : hometown (text) , people_id (number) | gymnast : gymnast_id (number) , total_points (number)", "shrink-score": 0.6923076923076923}
{"db_id": "gymnast", "question": "What are the hometowns of gymnasts and the corresponding number of gymnasts?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : hometown (text) , people_id (number) | gymnast : gymnast_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "gymnast", "question": "How many gymnasts are from each hometown?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : hometown (text) , people_id (number) | gymnast : gymnast_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "gymnast", "question": "What is the most common hometown of gymnasts?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : hometown (text) , people_id (number) | gymnast : gymnast_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "gymnast", "question": "Return the hometown that is most common among gymnasts.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : hometown (text) , people_id (number) | gymnast : gymnast_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "gymnast", "question": "What are the hometowns that are shared by at least two gymnasts?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : hometown (text) , people_id (number) | gymnast : gymnast_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "gymnast", "question": "Give the hometowns from which two or more gymnasts are from.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : hometown (text) , people_id (number) | gymnast : gymnast_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "gymnast", "question": "List the names of gymnasts in ascending order by their heights.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : name (text) , people_id (number) , height (number) | gymnast : gymnast_id (number)", "shrink-score": 0.6923076923076923}
{"db_id": "gymnast", "question": "What are the names of gymnasts, ordered by their heights ascending?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : name (text) , people_id (number) , height (number) | gymnast : gymnast_id (number)", "shrink-score": 0.6923076923076923}
{"db_id": "gymnast", "question": "List the distinct hometowns that are not associated with any gymnast.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : hometown (text) , people_id (number) | gymnast : gymnast_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "gymnast", "question": "From which hometowns did no gymnasts come from?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : hometown (text) , people_id (number) | gymnast : gymnast_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "gymnast", "question": "Show the hometowns shared by people older than 23 and younger than 20.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : hometown (text) , age (number)", "shrink-score": 0.8461538461538461}
{"db_id": "gymnast", "question": "From which hometowns did both people older than 23 and younger than 20 come from?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : hometown (text) , age (number)", "shrink-score": 0.8461538461538461}
{"db_id": "gymnast", "question": "How many distinct hometowns did these people have?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : hometown (text)", "shrink-score": 0.9230769230769231}
{"db_id": "gymnast", "question": "Count the number of different hometowns of these people.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : hometown (text)", "shrink-score": 0.9230769230769231}
{"db_id": "gymnast", "question": "Show the ages of gymnasts in descending order of total points.", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : age (number) , people_id (number) | gymnast : gymnast_id (number) , total_points (number)", "shrink-score": 0.6923076923076923}
{"db_id": "gymnast", "question": "What are the ages of the gymnasts, ordered descending by their total points?", "schema": "gymnast : gymnast_id (number) , floor_exercise_points (number) , pommel_horse_points (number) , rings_points (number) , vault_points (number) , parallel_bars_points (number) , horizontal_bar_points (number) , total_points (number) | people : people_id (number) , name (text) , age (number) , height (number) , hometown (text)", "summarized-schema": "people : age (number) , people_id (number) | gymnast : gymnast_id (number) , total_points (number)", "shrink-score": 0.6923076923076923}
{"db_id": "small_bank_1", "question": "Find the total savings balance of all accounts except the account with name \u2018Brown\u2019.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | accounts : custid (number) , name (text)", "shrink-score": 0.3333333333333333}
{"db_id": "small_bank_1", "question": "What is the total balance of savings accounts not belonging to someone with the name Brown?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | accounts : custid (number) , name (text)", "shrink-score": 0.3333333333333333}
{"db_id": "small_bank_1", "question": "How many accounts are there in total?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : custid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "small_bank_1", "question": "Count the number of accounts.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : custid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "small_bank_1", "question": "What is the total checking balance in all accounts?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "checking : balance (number)", "shrink-score": 0.8333333333333334}
{"db_id": "small_bank_1", "question": "Find the total balance across checking accounts.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "checking : balance (number)", "shrink-score": 0.8333333333333334}
{"db_id": "small_bank_1", "question": "Find the average checking balance.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "checking : balance (number)", "shrink-score": 0.8333333333333334}
{"db_id": "small_bank_1", "question": "What is the average balance in checking accounts?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "checking : balance (number)", "shrink-score": 0.8333333333333334}
{"db_id": "small_bank_1", "question": "How many accounts have a savings balance above the average savings balance?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number)", "shrink-score": 0.6666666666666666}
{"db_id": "small_bank_1", "question": "Find the number of accounts with a savings balance that is higher than the average savings balance.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number)", "shrink-score": 0.6666666666666666}
{"db_id": "small_bank_1", "question": "Find the name and id of accounts whose checking balance is below the maximum checking balance.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : custid (number) , name (text) | checking : custid (number) , balance (number)", "shrink-score": 0.3333333333333333}
{"db_id": "small_bank_1", "question": "What are the customer id and name corresponding to accounts with a checking balance less than the largest checking balance?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : custid (number) , name (text) | checking : custid (number) , balance (number)", "shrink-score": 0.3333333333333333}
{"db_id": "small_bank_1", "question": "What is the checking balance of the account whose owner\u2019s name contains the substring \u2018ee\u2019?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "checking : balance (number) , custid (number) | accounts : custid (number) , name (text)", "shrink-score": 0.3333333333333333}
{"db_id": "small_bank_1", "question": "Find the balance of the checking account belonging to an owner whose name contains 'ee'.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "checking : balance (number) , custid (number) | accounts : custid (number) , name (text)", "shrink-score": 0.3333333333333333}
{"db_id": "small_bank_1", "question": "Find the checking balance and saving balance in the Brown\u2019s account.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | checking : balance (number) , custid (number) | accounts : custid (number) , name (text)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "What are the checking and savings balances in accounts belonging to Brown?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | checking : balance (number) , custid (number) | accounts : custid (number) , name (text)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "Find the names of accounts whose checking balance is above the average checking balance, but savings balance is below the average savings balance.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "What are the names of accounts with checking balances greater than the average checking balance and savings balances below the average savings balance?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "Find the checking balance of the accounts whose savings balance is higher than the average savings balance.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | checking : balance (number) , custid (number) | accounts : custid (number) , name (text)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "What are the balances of checking accounts belonging to people with savings balances greater than the average savings balance?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | checking : balance (number) , custid (number) | accounts : custid (number) , name (text)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "List all customers\u2019 names in the alphabetical order.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text)", "shrink-score": 0.8333333333333334}
{"db_id": "small_bank_1", "question": "What are the names of all the customers in alphabetical order?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text)", "shrink-score": 0.8333333333333334}
{"db_id": "small_bank_1", "question": "Find the name of account that has the lowest total checking and saving balance.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "What is the name corresponding to the accoung with the lowest sum of checking and savings balances?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "Find the names and total checking and savings balances of accounts whose savings balance is higher than the average savings balance.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | savings : balance (number) , custid (number) | checking : balance (number) , custid (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "What are the names and sum of checking and savings balances for accounts with savings balances higher than the average savings balance?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | savings : balance (number) , custid (number) | checking : balance (number) , custid (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "Find the name and checking balance of the account with the lowest savings balance.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | savings : balance (number) , custid (number) | checking : balance (number) , custid (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "What are the names and balances of checking accounts belonging to the customer with the lowest savings balance?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | savings : balance (number) , custid (number) | checking : balance (number) , custid (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "Find the number of checking accounts for each account name.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | checking : custid (number)", "shrink-score": 0.5}
{"db_id": "small_bank_1", "question": "What are the names of customers with accounts, and how many checking accounts do each of them have?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | checking : custid (number)", "shrink-score": 0.5}
{"db_id": "small_bank_1", "question": "Find the total saving balance for each account name.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | accounts : name (text) , custid (number)", "shrink-score": 0.3333333333333333}
{"db_id": "small_bank_1", "question": "What are the names of customers with accounts, and what are the total savings balances for each?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | accounts : name (text) , custid (number)", "shrink-score": 0.3333333333333333}
{"db_id": "small_bank_1", "question": "Find the name of accounts whose checking balance is below the average checking balance.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | checking : custid (number) , balance (number)", "shrink-score": 0.3333333333333333}
{"db_id": "small_bank_1", "question": "What are the names of customers with checking balances lower than the average checking balance?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | checking : custid (number) , balance (number)", "shrink-score": 0.3333333333333333}
{"db_id": "small_bank_1", "question": "Find the saving balance of the account with the highest checking balance.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | checking : balance (number) , custid (number) | accounts : custid (number)", "shrink-score": 0.16666666666666666}
{"db_id": "small_bank_1", "question": "What is the savings balance of the account belonging to the customer with the highest checking balance?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | checking : balance (number) , custid (number) | accounts : custid (number)", "shrink-score": 0.16666666666666666}
{"db_id": "small_bank_1", "question": "Find the total checking and saving balance of all accounts sorted by the total balance in ascending order.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | checking : balance (number) , custid (number)", "shrink-score": 0.3333333333333333}
{"db_id": "small_bank_1", "question": "What is the sum of checking and savings balances for all customers, ordered by the total balance?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | checking : balance (number) , custid (number)", "shrink-score": 0.3333333333333333}
{"db_id": "small_bank_1", "question": "Find the name and checking balance of the account with the lowest saving balance.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | checking : balance (number) , custid (number) | accounts : name (text) , custid (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "What is the name and checking balance of the account which has the lowest savings balance?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | checking : balance (number) , custid (number) | accounts : name (text) , custid (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "Find the name, checking balance and saving balance of all accounts in the bank.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | checking : balance (number) , custid (number) | accounts : name (text) , custid (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "What are the names, checking balances, and savings balances for all customers?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | checking : balance (number) , custid (number) | accounts : name (text) , custid (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "Find the name, checking balance and savings balance of all accounts in the bank sorted by their total checking and savings balance in descending order.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | checking : balance (number) , custid (number) | accounts : name (text) , custid (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "What are the names, checking balances, and savings balances of customers, ordered by the total of checking and savings balances descending?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "savings : balance (number) , custid (number) | checking : balance (number) , custid (number) | accounts : name (text) , custid (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "Find the name of accounts whose checking balance is higher than corresponding saving balance.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "What are the names of customers with a higher checking balance than savings balance?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "Find the name and total checking and savings balance of the accounts whose savings balance is lower than corresponding checking balance.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | savings : balance (number) , custid (number) | checking : balance (number) , custid (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "What are the names of customers who have a savings balance lower than their checking balance, and what is the total of their checking and savings balances?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | savings : balance (number) , custid (number) | checking : balance (number) , custid (number)", "shrink-score": 0.0}
{"db_id": "small_bank_1", "question": "Find the name and savings balance of the top 3 accounts with the highest saving balance sorted by savings balance in descending order.", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | savings : balance (number) , custid (number)", "shrink-score": 0.3333333333333333}
{"db_id": "small_bank_1", "question": "What are names and savings balances of the three accounts with the highest savings balances?", "schema": "accounts : custid (number) , name (text) | savings : custid (number) , balance (number) | checking : custid (number) , balance (number)", "summarized-schema": "accounts : name (text) , custid (number) | savings : balance (number) , custid (number)", "shrink-score": 0.3333333333333333}
{"db_id": "browser_web", "question": "How many main stream browsers whose market share is at least 5 exist?", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "browser : market_share (number) , id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "browser_web", "question": "List the name of browsers in descending order by market share.", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "browser : name (text) , market_share (number)", "shrink-score": 0.8181818181818182}
{"db_id": "browser_web", "question": "List the ids, names and market shares of all browsers.", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "browser : id (number) , name (text) , market_share (number)", "shrink-score": 0.7272727272727273}
{"db_id": "browser_web", "question": "What is the maximum, minimum and average market share of the listed browsers?", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "browser : market_share (number)", "shrink-score": 0.9090909090909091}
{"db_id": "browser_web", "question": "What is the id and market share of the browser Safari?", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "browser : id (number) , market_share (number) , name (text)", "shrink-score": 0.7272727272727273}
{"db_id": "browser_web", "question": "What are the name and os of web client accelerators that do not work with only a 'Broadband' type connection?", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "web_client_accelerator : name (text) , operating_system (text) , connection (text)", "shrink-score": 0.7272727272727273}
{"db_id": "browser_web", "question": "What is the name of the browser that became compatible with the accelerator 'CProxy' after year 1998 ?", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "web_client_accelerator : name (text) , id (number) | browser : name (text) , id (number) | accelerator_compatible_browser : browser_id (number) , accelerator_id (number) , compatible_since_year (number)", "shrink-score": 0.36363636363636365}
{"db_id": "browser_web", "question": "What are the ids and names of the web accelerators that are compatible with two or more browsers?", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "web_client_accelerator : id (number) , name (text) | accelerator_compatible_browser : accelerator_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "browser_web", "question": "What is the id and name of the browser that is compatible with the most web accelerators?", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "browser : id (number) , name (text) | accelerator_compatible_browser : browser_id (number) , accelerator_id (number)", "shrink-score": 0.6363636363636364}
{"db_id": "browser_web", "question": "When did the web accelerator 'CACHEbox' and browser 'Internet Explorer' become compatible?", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "accelerator_compatible_browser : compatible_since_year (number) , browser_id (number) , accelerator_id (number) | web_client_accelerator : id (number) , name (text) | browser : id (number) , name (text)", "shrink-score": 0.36363636363636365}
{"db_id": "browser_web", "question": "How many different kinds of clients are supported by the web clients accelerators?", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "web_client_accelerator : client (text)", "shrink-score": 0.9090909090909091}
{"db_id": "browser_web", "question": "How many accelerators are not compatible with the browsers listed ?", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "web_client_accelerator : id (number) | accelerator_compatible_browser : accelerator_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "browser_web", "question": "What distinct accelerator names are compatible with the browswers that have market share higher than 15?", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "web_client_accelerator : name (text) , id (number) | browser : name (text) , id (number) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number)", "shrink-score": 0.36363636363636365}
{"db_id": "browser_web", "question": "List the names of the browser that are compatible with both 'CACHEbox' and 'Fasterfox'.", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "web_client_accelerator : name (text) , id (number) | browser : name (text) , id (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number)", "shrink-score": 0.45454545454545453}
{"db_id": "browser_web", "question": "Show the accelerator names and supporting operating systems that are not compatible with the browser named 'Opera'.", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "web_client_accelerator : name (text) , operating_system (text) , id (number) | browser : name (text) , id (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number)", "shrink-score": 0.36363636363636365}
{"db_id": "browser_web", "question": "Which accelerator name contains substring \"Opera\"?", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "web_client_accelerator : name (text)", "shrink-score": 0.9090909090909091}
{"db_id": "browser_web", "question": "Find the number of web accelerators used for each Operating system.", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "web_client_accelerator : operating_system (text) , id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "browser_web", "question": "give me names of all compatible browsers and accelerators in the descending order of compatible year", "schema": "web_client_accelerator : id (number) , name (text) , operating_system (text) , client (text) , connection (text) | browser : id (number) , name (text) , market_share (number) | accelerator_compatible_browser : accelerator_id (number) , browser_id (number) , compatible_since_year (number)", "summarized-schema": "web_client_accelerator : name (text) , id (number) | browser : name (text) , id (number) | accelerator_compatible_browser : browser_id (number) , accelerator_id (number) , compatible_since_year (number)", "shrink-score": 0.36363636363636365}
{"db_id": "wrestler", "question": "How many wrestlers are there?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : wrestler_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "wrestler", "question": "Count the number of wrestlers.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : wrestler_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "wrestler", "question": "List the names of wrestlers in descending order of days held.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : name (text) , days_held (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "What are the names of the wrestlers, ordered descending by days held?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : name (text) , days_held (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "What is the name of the wrestler with the fewest days held?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : name (text) , days_held (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "Return the name of the wrestler who had the lowest number of days held.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : name (text) , days_held (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "What are the distinct reigns of wrestlers whose location is not \"Tokyo,Japan\" ?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : reign (text) , location (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "Give the different reigns of wrestlers who are not located in Tokyo, Japan.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : reign (text) , location (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "What are the names and location of the wrestlers?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : name (text) , location (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "Give the names and locations of all wrestlers.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : name (text) , location (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "What are the elimination moves of wrestlers whose team is \"Team Orton\"?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : elimination_move (text) , team (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "Return the elimination movies of wrestlers on Team Orton.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : elimination_move (text) , team (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "What are the names of wrestlers and the elimination moves?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : name (text) , wrestler_id (number) | elimination : elimination_move (text) , wrestler_id (text)", "shrink-score": 0.6666666666666666}
{"db_id": "wrestler", "question": "Give the names of wrestlers and their elimination moves.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : name (text) , wrestler_id (number) | elimination : elimination_move (text) , wrestler_id (text)", "shrink-score": 0.6666666666666666}
{"db_id": "wrestler", "question": "List the names of wrestlers and the teams in elimination in descending order of days held.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : name (text) , wrestler_id (number) , days_held (text) | elimination : team (text) , wrestler_id (text)", "shrink-score": 0.5833333333333334}
{"db_id": "wrestler", "question": "What are the names of wrestlers and their teams in elimination, ordered descending by days held?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : name (text) , wrestler_id (number) , days_held (text) | elimination : team (text) , wrestler_id (text)", "shrink-score": 0.5833333333333334}
{"db_id": "wrestler", "question": "List the time of elimination of the wrestlers with largest days held.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : time (text) , wrestler_id (text) | wrestler : wrestler_id (number) , days_held (text)", "shrink-score": 0.6666666666666666}
{"db_id": "wrestler", "question": "What is the time of elimination for the wrestler with the most days held?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : time (text) , wrestler_id (text) | wrestler : wrestler_id (number) , days_held (text)", "shrink-score": 0.6666666666666666}
{"db_id": "wrestler", "question": "Show times of elimination of wrestlers with days held more than 50.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : time (text) , wrestler_id (text) | wrestler : wrestler_id (number) , days_held (text)", "shrink-score": 0.6666666666666666}
{"db_id": "wrestler", "question": "What are the times of elimination for wrestlers with over 50 days held?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : time (text) , wrestler_id (text) | wrestler : wrestler_id (number) , days_held (text)", "shrink-score": 0.6666666666666666}
{"db_id": "wrestler", "question": "Show different teams in eliminations and the number of eliminations from each team.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : team (text) , elimination_id (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "How many eliminations did each team have?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : team (text) , elimination_id (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "Show teams that have suffered more than three eliminations.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : team (text) , elimination_id (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "Which teams had more than 3 eliminations?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : team (text) , elimination_id (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "Show the reign and days held of wrestlers.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : reign (text) , days_held (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "What are the reigns and days held of all wrestlers?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : reign (text) , days_held (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "What are the names of wrestlers days held less than 100?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : name (text) , days_held (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "Return the names of wrestlers with fewer than 100 days held.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : name (text) , days_held (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "Please show the most common reigns of wrestlers.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : reign (text) , wrestler_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "Which reign is the most common among wrestlers?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : reign (text) , wrestler_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "List the locations that are shared by more than two wrestlers.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : location (text) , wrestler_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "Which locations are shared by more than two wrestlers?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : location (text) , wrestler_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "List the names of wrestlers that have not been eliminated.", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : name (text) , wrestler_id (number) | elimination : wrestler_id (text)", "shrink-score": 0.75}
{"db_id": "wrestler", "question": "What are the names of wrestlers who have never been eliminated?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "wrestler : name (text) , wrestler_id (number) | elimination : wrestler_id (text)", "shrink-score": 0.75}
{"db_id": "wrestler", "question": "Show the teams that have both wrestlers eliminated by \"Orton\" and wrestlers eliminated by \"Benjamin\".", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : team (text) , eliminated_by (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "What are the teams that have both wrestlers eliminated by Orton and wrestlers eliminated by Benjamin?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : team (text) , eliminated_by (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "What is the number of distinct teams that suffer elimination?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : team (text)", "shrink-score": 0.9166666666666666}
{"db_id": "wrestler", "question": "How many different teams have had eliminated wrestlers?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : team (text)", "shrink-score": 0.9166666666666666}
{"db_id": "wrestler", "question": "Show the times of elimination by \"Punk\" or \"Orton\".", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : time (text) , eliminated_by (text)", "shrink-score": 0.8333333333333334}
{"db_id": "wrestler", "question": "What are the times of elimination for any instances in which the elimination was done by Punk or Orton?", "schema": "wrestler : wrestler_id (number) , name (text) , reign (text) , days_held (text) , location (text) , event (text) | elimination : elimination_id (text) , wrestler_id (text) , team (text) , eliminated_by (text) , elimination_move (text) , time (text)", "summarized-schema": "elimination : time (text) , eliminated_by (text)", "shrink-score": 0.8333333333333334}
{"db_id": "school_finance", "question": "How many schools are there?", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "school : school_id (text)", "shrink-score": 0.9473684210526315}
{"db_id": "school_finance", "question": "Count the number of schools.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "school : school_id (text)", "shrink-score": 0.9473684210526315}
{"db_id": "school_finance", "question": "Show all school names in alphabetical order.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "school : school_name (text)", "shrink-score": 0.9473684210526315}
{"db_id": "school_finance", "question": "List the name, location, mascot for all schools.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "school : school_name (text) , location (text) , mascot (text)", "shrink-score": 0.8421052631578947}
{"db_id": "school_finance", "question": "What are the total and average enrollment of all schools?", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "school : enrollment (number)", "shrink-score": 0.9473684210526315}
{"db_id": "school_finance", "question": "What are the mascots for schools with enrollments above the average?", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "school : mascot (text) , enrollment (number)", "shrink-score": 0.8947368421052632}
{"db_id": "school_finance", "question": "List the name of the school with the smallest enrollment.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "school : school_name (text) , enrollment (number)", "shrink-score": 0.8947368421052632}
{"db_id": "school_finance", "question": "Show the average, maximum, minimum enrollment of all schools.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "school : enrollment (number)", "shrink-score": 0.9473684210526315}
{"db_id": "school_finance", "question": "Show each county along with the number of schools and total enrollment in each county.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "school : county (text) , enrollment (number) , school_id (text)", "shrink-score": 0.8421052631578947}
{"db_id": "school_finance", "question": "How many donors have endowment for school named \"Glenn\"?", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "endowment : donator_name (text) , school_id (number) | school : school_id (text) , school_name (text)", "shrink-score": 0.7894736842105263}
{"db_id": "school_finance", "question": "List each donator name and the amount of endowment in descending order of the amount of endowment.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "endowment : donator_name (text) , amount (number)", "shrink-score": 0.8947368421052632}
{"db_id": "school_finance", "question": "List the names of the schools without any endowment.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "school : school_name (text) , school_id (text) | endowment : school_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "school_finance", "question": "List all the names of schools with an endowment amount smaller than or equal to 10.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "school : school_name (text) , school_id (text) | endowment : school_id (number) , amount (number)", "shrink-score": 0.7894736842105263}
{"db_id": "school_finance", "question": "Show the names of donors who donated to both school \"Glenn\" and \"Triton.\"", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "endowment : donator_name (text) , school_id (number) | school : school_id (text) , school_name (text)", "shrink-score": 0.7894736842105263}
{"db_id": "school_finance", "question": "Show the names of all the donors except those whose donation amount less than 9.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "endowment : donator_name (text) , amount (number)", "shrink-score": 0.8947368421052632}
{"db_id": "school_finance", "question": "List the amount and donor name for the largest amount of donation.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "endowment : amount (number) , donator_name (text)", "shrink-score": 0.8947368421052632}
{"db_id": "school_finance", "question": "How many budgets are above 3000 in year 2001 or before?", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "budget : budgeted (number) , year (number) , school_id (text)", "shrink-score": 0.8421052631578947}
{"db_id": "school_finance", "question": "Count the number of budgets in year 2001 or before whose budgeted amount is greater than 3000", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "budget : budgeted (number) , year (number) , school_id (text)", "shrink-score": 0.8421052631578947}
{"db_id": "school_finance", "question": "Show each school name, its budgeted amount, and invested amount in year 2002 or after.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "school : school_name (text) , school_id (text) | budget : budgeted (number) , invested (number) , school_id (number) , year (number)", "shrink-score": 0.6842105263157895}
{"db_id": "school_finance", "question": "Show all donor names.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "endowment : donator_name (text)", "shrink-score": 0.9473684210526315}
{"db_id": "school_finance", "question": "How many budget record has a budget amount smaller than the invested amount?", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "budget : budgeted (number) , invested (number) , school_id (text)", "shrink-score": 0.8421052631578947}
{"db_id": "school_finance", "question": "What is the total budget amount for school \"Glenn\" in all years?", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "budget : budgeted (number) , school_id (number) | school : school_id (text) , school_name (text)", "shrink-score": 0.7894736842105263}
{"db_id": "school_finance", "question": "Show the names of schools with a total budget amount greater than 100 or a total endowment greater than 10.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "school : school_name (text) , school_id (text) | budget : school_id (number) , budgeted (number) | endowment : school_id (number) , amount (number)", "shrink-score": 0.6842105263157895}
{"db_id": "school_finance", "question": "Find the names of schools that have more than one donator with donation amount above 8.5.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "school : school_name (text) , school_id (text) | endowment : school_id (number) , amount (number) , endowment_id (number)", "shrink-score": 0.7368421052631579}
{"db_id": "school_finance", "question": "Find the number of schools that have more than one donator whose donation amount is less than 8.5.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "endowment : amount (number) , school_id (number) , endowment_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "school_finance", "question": "List the name, IHSAA Football Class, and Mascot of the schools that have more than 6000 of budgeted amount or were founded before 2003, in the order of percent of total invested budget and total budgeted budget.", "schema": "school : school_id (text) , school_name (text) , location (text) , mascot (text) , enrollment (number) , ihsaa_class (text) , ihsaa_football_class (text) , county (text) | budget : school_id (number) , year (number) , budgeted (number) , total_budget_percent_budgeted (number) , invested (number) , total_budget_percent_invested (number) , budget_invested_percent (text) | endowment : endowment_id (number) , school_id (number) , donator_name (text) , amount (number)", "summarized-schema": "school : school_name (text) , mascot (text) , ihsaa_football_class (text) , school_id (text) | budget : school_id (number) , budgeted (number) , year (number) , total_budget_percent_invested (number) , total_budget_percent_budgeted (number)", "shrink-score": 0.5263157894736842}
{"db_id": "protein_institute", "question": "How many buildings are there?", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "building : building_id (text)", "shrink-score": 0.9545454545454546}
{"db_id": "protein_institute", "question": "Show the name, street address, and number of floors for all buildings ordered by the number of floors.", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "building : name (text) , street_address (text) , floors (number)", "shrink-score": 0.8636363636363636}
{"db_id": "protein_institute", "question": "What is the name of the tallest building?", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "building : name (text) , height_feet (number)", "shrink-score": 0.9090909090909091}
{"db_id": "protein_institute", "question": "What are the average, maximum, and minimum number of floors for all buildings?", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "building : floors (number)", "shrink-score": 0.9545454545454546}
{"db_id": "protein_institute", "question": "Show the number of buildings with a height above the average or a number of floors above the average.", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "building : height_feet (number) , floors (number) , building_id (text)", "shrink-score": 0.8636363636363636}
{"db_id": "protein_institute", "question": "List the names of buildings with at least 200 feet of height and with at least 20 floors.", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "building : name (text) , height_feet (number) , floors (number)", "shrink-score": 0.8636363636363636}
{"db_id": "protein_institute", "question": "Show the names and locations of institutions that are founded after 1990 and have the type \"Private\".", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "institution : institution (text) , location (text) , founded (number) , type (text)", "shrink-score": 0.8181818181818182}
{"db_id": "protein_institute", "question": "Show institution types, along with the number of institutions and total enrollment for each type.", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "institution : type (text) , enrollment (number) , institution (text) , institution_id (text)", "shrink-score": 0.8181818181818182}
{"db_id": "protein_institute", "question": "Show the institution type with the largest number of institutions.", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "institution : type (text) , institution (text) , institution_id (text)", "shrink-score": 0.8636363636363636}
{"db_id": "protein_institute", "question": "Show the institution type with an institution founded after 1990 and an institution with at least 1000 enrollment.", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "institution : type (text) , institution (text) , founded (number) , enrollment (number)", "shrink-score": 0.8181818181818182}
{"db_id": "protein_institute", "question": "Show the name of buildings that do not have any institution.", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "building : name (text) , building_id (text) | institution : building_id (text) , institution (text)", "shrink-score": 0.8181818181818182}
{"db_id": "protein_institute", "question": "Show the names of buildings except for those having an institution founded in 2003.", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "building : name (text) , building_id (text) | institution : institution (text) , building_id (text) , founded (number)", "shrink-score": 0.7727272727272727}
{"db_id": "protein_institute", "question": "For each building, show the name of the building and the number of institutions in it.", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "building : name (text) , building_id (text) | institution : institution (text) , building_id (text) , institution_id (text)", "shrink-score": 0.7727272727272727}
{"db_id": "protein_institute", "question": "Show the names and heights of buildings with at least two institutions founded after 1880.", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "building : name (text) , height_feet (number) , building_id (text) | institution : institution (text) , building_id (text) , founded (number) , institution_id (text)", "shrink-score": 0.6818181818181818}
{"db_id": "protein_institute", "question": "Show all the distinct institution types.", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "institution : type (text) , institution (text)", "shrink-score": 0.9090909090909091}
{"db_id": "protein_institute", "question": "Show institution names along with the number of proteins for each institution.", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "institution : institution (text) , institution_id (text) | protein : institution_id (text) , common_name (text)", "shrink-score": 0.8181818181818182}
{"db_id": "protein_institute", "question": "How many proteins are associated with an institution founded after 1880 or an institution with type \"Private\"?", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "institution : institution (text) , institution_id (text) , founded (number) , type (text) | protein : institution_id (text) , common_name (text)", "shrink-score": 0.7272727272727273}
{"db_id": "protein_institute", "question": "Show the protein name and the institution name.", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "protein : protein_name (text) , institution_id (text) | institution : institution (text) , institution_id (text)", "shrink-score": 0.8181818181818182}
{"db_id": "protein_institute", "question": "How many proteins are associated with an institution in a building with at least 20 floors?", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "institution : institution (text) , institution_id (text) , building_id (text) | protein : institution_id (text) , common_name (text) | building : building_id (text) , floors (number)", "shrink-score": 0.6818181818181818}
{"db_id": "protein_institute", "question": "How many institutions do not have an associated protein in our record?", "schema": "building : building_id (text) , name (text) , street_address (text) , years_as_tallest (text) , height_feet (number) , floors (number) | institution : institution_id (text) , institution (text) , location (text) , founded (number) , type (text) , enrollment (number) , team (text) , primary_conference (text) , building_id (text) | protein : common_name (text) , protein_name (text) , divergence_from_human_lineage (number) , accession_number (text) , sequence_length (number) , sequence_identity_to_human_protein (text) , institution_id (text)", "summarized-schema": "institution : institution (text) , institution_id (text) | protein : institution_id (text) , common_name (text)", "shrink-score": 0.8181818181818182}
{"db_id": "cinema", "question": "Show all the locations where no cinema has capacity over 800.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : location (text) , capacity (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cinema", "question": "Show all the locations where some cinemas were opened in both year 2010 and year 2011.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : location (text) , openning_year (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cinema", "question": "How many cinema do we have?", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : cinema_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "cinema", "question": "Count the number of cinemas.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : cinema_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "cinema", "question": "Show name, opening year, and capacity for each cinema.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : name (text) , openning_year (number) , capacity (number)", "shrink-score": 0.8235294117647058}
{"db_id": "cinema", "question": "Show the cinema name and location for cinemas with capacity above average.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : name (text) , location (text) , capacity (number)", "shrink-score": 0.8235294117647058}
{"db_id": "cinema", "question": "What are all the locations with a cinema?", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : location (text)", "shrink-score": 0.9411764705882353}
{"db_id": "cinema", "question": "Find the distinct locations that has a cinema.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : location (text)", "shrink-score": 0.9411764705882353}
{"db_id": "cinema", "question": "Show all the cinema names and opening years in descending order of opening year.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : name (text) , openning_year (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cinema", "question": "What are the name and location of the cinema with the largest capacity?", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : name (text) , location (text) , capacity (number)", "shrink-score": 0.8235294117647058}
{"db_id": "cinema", "question": "Show the average, minimum, and maximum capacity for all the cinemas opened in year 2011 or later.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : capacity (number) , openning_year (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cinema", "question": "Show each location and the number of cinemas there.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : location (text) , cinema_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cinema", "question": "What is the location with the most cinemas opened in year 2010 or later?", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : location (text) , openning_year (number) , cinema_id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "cinema", "question": "Show all the locations with at least two cinemas with capacity above 300.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : location (text) , capacity (number) , cinema_id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "cinema", "question": "Which locations have 2 or more cinemas with capacity over 300?", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : location (text) , capacity (number) , cinema_id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "cinema", "question": "Show the title and director for all films.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "film : title (text) , directed_by (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cinema", "question": "What are the title and director of each film?", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "film : title (text) , directed_by (text)", "shrink-score": 0.8823529411764706}
{"db_id": "cinema", "question": "Show all directors.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "film : directed_by (text)", "shrink-score": 0.9411764705882353}
{"db_id": "cinema", "question": "Who are all the directors?", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "film : directed_by (text)", "shrink-score": 0.9411764705882353}
{"db_id": "cinema", "question": "List all directors along with the number of films directed by each director.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "film : directed_by (text) , film_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cinema", "question": "What is total number of show times per dat for each cinema?", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : name (text) , cinema_id (number) | schedule : show_times_per_day (number) , cinema_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cinema", "question": "What are the title and maximum price of each film?", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "film : title (text) , film_id (number) | schedule : price (number) , film_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cinema", "question": "Give me the title and highest price for each film.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "film : title (text) , film_id (number) | schedule : price (number) , film_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cinema", "question": "Show cinema name, film title, date, and price for each record in schedule.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : name (text) , cinema_id (number) | film : title (text) , film_id (number) | schedule : date (text) , price (number) , film_id (number) , cinema_id (number)", "shrink-score": 0.5294117647058824}
{"db_id": "cinema", "question": "What are the title and director of the films without any schedule?", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "film : title (text) , directed_by (text) , film_id (number) | schedule : film_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cinema", "question": "Show director with the largest number of show times in total.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "film : directed_by (text) , film_id (number) | schedule : film_id (number) , show_times_per_day (number)", "shrink-score": 0.7647058823529411}
{"db_id": "cinema", "question": "Find the locations that have more than one movie theater with capacity above 300.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : location (text) , capacity (number) , cinema_id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "cinema", "question": "In which locations are there more than one movie theater with capacity above 300?", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "cinema : location (text) , capacity (number) , cinema_id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "cinema", "question": "How many films have the word 'Dummy' in their titles?", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "film : title (text) , film_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "cinema", "question": "Count the number of films whose title contains the word 'Dummy'.", "schema": "film : film_id (number) , rank_in_series (number) , number_in_season (number) , title (text) , directed_by (text) , original_air_date (text) , production_code (text) | cinema : cinema_id (number) , name (text) , openning_year (number) , capacity (number) , location (text) | schedule : cinema_id (number) , film_id (number) , date (text) , show_times_per_day (number) , price (number)", "summarized-schema": "film : title (text) , film_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "products_for_hire", "question": "Are the customers holding coupons with amount 500 bad or good?", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "customers : good_or_bad_customer (text) , coupon_id (number) | discount_coupons : coupon_id (number) , coupon_amount (number)", "shrink-score": 0.9111111111111111}
{"db_id": "products_for_hire", "question": "How many bookings did each customer make? List the customer id, first name, and the count.", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "customers : customer_id (number) , first_name (text) | bookings : customer_id (number) , booking_id (number)", "shrink-score": 0.9111111111111111}
{"db_id": "products_for_hire", "question": "What is the maximum total amount paid by a customer? List the customer id and amount.", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "payments : customer_id (number) , amount_paid (number)", "shrink-score": 0.9555555555555556}
{"db_id": "products_for_hire", "question": "What are the id and the amount of refund of the booking that incurred the most times of payments?", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "bookings : booking_id (number) , amount_of_refund (number) | payments : booking_id (number) , payment_id (number)", "shrink-score": 0.9111111111111111}
{"db_id": "products_for_hire", "question": "What is the id of the product that is booked for 3 times?", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "products_booked : product_id (number) , booking_id (number)", "shrink-score": 0.9555555555555556}
{"db_id": "products_for_hire", "question": "What is the product description of the product booked with an amount of 102.76?", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "products_for_hire : product_description (text) , product_id (number) | products_booked : product_id (number) , booked_amount (number)", "shrink-score": 0.9111111111111111}
{"db_id": "products_for_hire", "question": "What are the start date and end date of the booking that has booked the product named 'Book collection A'?", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "bookings : booking_start_date (time) , booking_end_date (time) , booking_id (number) | products_for_hire : product_id (number) , product_name (text) | products_booked : product_id (number) , booking_id (number)", "shrink-score": 0.8444444444444444}
{"db_id": "products_for_hire", "question": "What are the names of products whose availability equals to 1?", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "products_for_hire : product_name (text) , product_id (number) | view_product_availability : product_id (number) , available_yn (text)", "shrink-score": 0.9111111111111111}
{"db_id": "products_for_hire", "question": "How many different product types are there?", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "products_for_hire : product_type_code (text)", "shrink-score": 0.9777777777777777}
{"db_id": "products_for_hire", "question": "What are the first name, last name, and gender of all the good customers? Order by their last name.", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "customers : first_name (text) , last_name (text) , gender_mf (text) , good_or_bad_customer (text)", "shrink-score": 0.9111111111111111}
{"db_id": "products_for_hire", "question": "What is the average amount due for all the payments?", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "payments : amount_due (number)", "shrink-score": 0.9777777777777777}
{"db_id": "products_for_hire", "question": "What are the maximum, minimum, and average booked count for the products booked?", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "products_booked : booked_count (number)", "shrink-score": 0.9777777777777777}
{"db_id": "products_for_hire", "question": "What are all the distinct payment types?", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "payments : payment_type_code (text)", "shrink-score": 0.9777777777777777}
{"db_id": "products_for_hire", "question": "What are the daily hire costs for the products with substring 'Book' in its name?", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "products_for_hire : daily_hire_cost (number) , product_name (text)", "shrink-score": 0.9555555555555556}
{"db_id": "products_for_hire", "question": "How many products are never booked with amount higher than 200?", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "products_for_hire : product_id (number) | products_booked : product_id (number) , booked_amount (number) , booking_id (number)", "shrink-score": 0.9111111111111111}
{"db_id": "products_for_hire", "question": "What are the coupon amount of the coupons owned by both good and bad customers?", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "discount_coupons : coupon_amount (number) , coupon_id (number) | customers : coupon_id (number) , good_or_bad_customer (text)", "shrink-score": 0.9111111111111111}
{"db_id": "products_for_hire", "question": "What are the payment date of the payment with amount paid higher than 300 or with payment type is 'Check'", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "payments : payment_date (time) , amount_paid (number) , payment_type_code (text)", "shrink-score": 0.9333333333333333}
{"db_id": "products_for_hire", "question": "What are the names and descriptions of the products that are of 'Cutlery' type and have daily hire cost lower than 20?", "schema": "discount_coupons : coupon_id (number) , date_issued (time) , coupon_amount (number) | customers : customer_id (number) , coupon_id (number) , good_or_bad_customer (text) , first_name (text) , last_name (text) , gender_mf (text) , date_became_customer (time) , date_last_hire (time) | bookings : booking_id (number) , customer_id (number) , booking_status_code (text) , returned_damaged_yn (text) , booking_start_date (time) , booking_end_date (time) , count_hired (text) , amount_payable (number) , amount_of_discount (number) , amount_outstanding (number) , amount_of_refund (number) | products_for_hire : product_id (number) , product_type_code (text) , daily_hire_cost (number) , product_name (text) , product_description (text) | payments : payment_id (number) , booking_id (number) , customer_id (number) , payment_type_code (text) , amount_paid_in_full_yn (text) , payment_date (time) , amount_due (number) , amount_paid (number) | products_booked : booking_id (number) , product_id (number) , returned_yn (text) , returned_late_yn (text) , booked_count (number) , booked_amount (number) | view_product_availability : product_id (number) , booking_id (number) , status_date (time) , available_yn (text)", "summarized-schema": "products_for_hire : product_name (text) , product_description (text) , product_type_code (text) , daily_hire_cost (number)", "shrink-score": 0.9111111111111111}
{"db_id": "phone_market", "question": "How many phones are there?", "schema": "phone : name (text) , phone_id (number) , memory_in_g (number) , carrier (text) , price (number) | market : market_id (number) , district (text) , num_of_employees (number) , num_of_shops (number) , ranking (number) | phone_market : market_id (number) , phone_id (text) , num_of_stock (number)", "summarized-schema": "phone : phone_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "phone_market", "question": "List the names of phones in ascending order of price.", "schema": "phone : name (text) , phone_id (number) , memory_in_g (number) , carrier (text) , price (number) | market : market_id (number) , district (text) , num_of_employees (number) , num_of_shops (number) , ranking (number) | phone_market : market_id (number) , phone_id (text) , num_of_stock (number)", "summarized-schema": "phone : name (text) , price (number)", "shrink-score": 0.8461538461538461}
{"db_id": "phone_market", "question": "What are the memories and carriers of phones?", "schema": "phone : name (text) , phone_id (number) , memory_in_g (number) , carrier (text) , price (number) | market : market_id (number) , district (text) , num_of_employees (number) , num_of_shops (number) , ranking (number) | phone_market : market_id (number) , phone_id (text) , num_of_stock (number)", "summarized-schema": "phone : memory_in_g (number) , carrier (text)", "shrink-score": 0.8461538461538461}
{"db_id": "phone_market", "question": "List the distinct carriers of phones with memories bigger than 32.", "schema": "phone : name (text) , phone_id (number) , memory_in_g (number) , carrier (text) , price (number) | market : market_id (number) , district (text) , num_of_employees (number) , num_of_shops (number) , ranking (number) | phone_market : market_id (number) , phone_id (text) , num_of_stock (number)", "summarized-schema": "phone : carrier (text) , memory_in_g (number)", "shrink-score": 0.8461538461538461}
{"db_id": "phone_market", "question": "Show the names of phones with carrier either \"Sprint\" or \"TMobile\".", "schema": "phone : name (text) , phone_id (number) , memory_in_g (number) , carrier (text) , price (number) | market : market_id (number) , district (text) , num_of_employees (number) , num_of_shops (number) , ranking (number) | phone_market : market_id (number) , phone_id (text) , num_of_stock (number)", "summarized-schema": "phone : name (text) , carrier (text)", "shrink-score": 0.8461538461538461}
{"db_id": "phone_market", "question": "What is the carrier of the most expensive phone?", "schema": "phone : name (text) , phone_id (number) , memory_in_g (number) , carrier (text) , price (number) | market : market_id (number) , district (text) , num_of_employees (number) , num_of_shops (number) , ranking (number) | phone_market : market_id (number) , phone_id (text) , num_of_stock (number)", "summarized-schema": "phone : carrier (text) , price (number)", "shrink-score": 0.8461538461538461}
{"db_id": "phone_market", "question": "Show different carriers of phones together with the number of phones with each carrier.", "schema": "phone : name (text) , phone_id (number) , memory_in_g (number) , carrier (text) , price (number) | market : market_id (number) , district (text) , num_of_employees (number) , num_of_shops (number) , ranking (number) | phone_market : market_id (number) , phone_id (text) , num_of_stock (number)", "summarized-schema": "phone : carrier (text) , phone_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "phone_market", "question": "Show the most frequently used carrier of the phones.", "schema": "phone : name (text) , phone_id (number) , memory_in_g (number) , carrier (text) , price (number) | market : market_id (number) , district (text) , num_of_employees (number) , num_of_shops (number) , ranking (number) | phone_market : market_id (number) , phone_id (text) , num_of_stock (number)", "summarized-schema": "phone : carrier (text) , phone_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "phone_market", "question": "Show the carriers that have both phones with memory smaller than 32 and phones with memory bigger than 64.", "schema": "phone : name (text) , phone_id (number) , memory_in_g (number) , carrier (text) , price (number) | market : market_id (number) , district (text) , num_of_employees (number) , num_of_shops (number) , ranking (number) | phone_market : market_id (number) , phone_id (text) , num_of_stock (number)", "summarized-schema": "phone : carrier (text) , memory_in_g (number)", "shrink-score": 0.8461538461538461}
{"db_id": "phone_market", "question": "Show the names of phones and the districts of markets they are on.", "schema": "phone : name (text) , phone_id (number) , memory_in_g (number) , carrier (text) , price (number) | market : market_id (number) , district (text) , num_of_employees (number) , num_of_shops (number) , ranking (number) | phone_market : market_id (number) , phone_id (text) , num_of_stock (number)", "summarized-schema": "phone : name (text) , phone_id (number) | market : district (text) , market_id (number) | phone_market : market_id (number) , phone_id (text)", "shrink-score": 0.5384615384615384}
{"db_id": "phone_market", "question": "Show the names of phones and the districts of markets they are on, in ascending order of the ranking of the market.", "schema": "phone : name (text) , phone_id (number) , memory_in_g (number) , carrier (text) , price (number) | market : market_id (number) , district (text) , num_of_employees (number) , num_of_shops (number) , ranking (number) | phone_market : market_id (number) , phone_id (text) , num_of_stock (number)", "summarized-schema": "phone : name (text) , phone_id (number) | market : district (text) , market_id (number) , ranking (number) | phone_market : market_id (number) , phone_id (text)", "shrink-score": 0.46153846153846156}
{"db_id": "phone_market", "question": "Show the names of phones that are on market with number of shops greater than 50.", "schema": "phone : name (text) , phone_id (number) , memory_in_g (number) , carrier (text) , price (number) | market : market_id (number) , district (text) , num_of_employees (number) , num_of_shops (number) , ranking (number) | phone_market : market_id (number) , phone_id (text) , num_of_stock (number)", "summarized-schema": "phone : name (text) , phone_id (number) | market : market_id (number) , num_of_shops (number) | phone_market : market_id (number) , phone_id (text)", "shrink-score": 0.5384615384615384}
{"db_id": "phone_market", "question": "For each phone, show its names and total number of stocks.", "schema": "phone : name (text) , phone_id (number) , memory_in_g (number) , carrier (text) , price (number) | market : market_id (number) , district (text) , num_of_employees (number) , num_of_shops (number) , ranking (number) | phone_market : market_id (number) , phone_id (text) , num_of_stock (number)", "summarized-schema": "phone : name (text) , phone_id (number) | phone_market : num_of_stock (number) , phone_id (text)", "shrink-score": 0.6923076923076923}
{"db_id": "phone_market", "question": "Show the names of phones that have total number of stocks bigger than 2000, in descending order of the total number of stocks.", "schema": "phone : name (text) , phone_id (number) , memory_in_g (number) , carrier (text) , price (number) | market : market_id (number) , district (text) , num_of_employees (number) , num_of_shops (number) , ranking (number) | phone_market : market_id (number) , phone_id (text) , num_of_stock (number)", "summarized-schema": "phone : name (text) , phone_id (number) | phone_market : phone_id (text) , num_of_stock (number)", "shrink-score": 0.6923076923076923}
{"db_id": "phone_market", "question": "List the names of phones that are not on any market.", "schema": "phone : name (text) , phone_id (number) , memory_in_g (number) , carrier (text) , price (number) | market : market_id (number) , district (text) , num_of_employees (number) , num_of_shops (number) , ranking (number) | phone_market : market_id (number) , phone_id (text) , num_of_stock (number)", "summarized-schema": "phone : name (text) , phone_id (number) | phone_market : phone_id (text)", "shrink-score": 0.7692307692307693}
{"db_id": "gas_company", "question": "How many gas companies are there?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : company (text) , company_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "gas_company", "question": "What is the total number of companies?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : company (text) , company_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "gas_company", "question": "List the company name and rank for all companies in the decreasing order of their sales.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : company (text) , rank (number) , sales_billion (number)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "What is the name and rank of every company ordered by descending number of sales?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : company (text) , rank (number) , sales_billion (number)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "Show the company name and the main industry for all companies whose headquarters are not from USA.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : company (text) , main_industry (text) , headquarters (text)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "What are the companies and main industries of all companies that are not headquartered in the United States?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : company (text) , main_industry (text) , headquarters (text)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "Show all company names and headquarters in the descending order of market value.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : company (text) , headquarters (text) , market_value (number)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "What are the names and headquarters of all companies ordered by descending market value?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : company (text) , headquarters (text) , market_value (number)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "Show minimum, maximum, and average market value for all companies.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : market_value (number) , company (text)", "shrink-score": 0.8888888888888888}
{"db_id": "gas_company", "question": "What is the minimum, maximum, and average market value for every company?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : market_value (number) , company (text)", "shrink-score": 0.8888888888888888}
{"db_id": "gas_company", "question": "Show all main industry for all companies.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : main_industry (text) , company (text)", "shrink-score": 0.8888888888888888}
{"db_id": "gas_company", "question": "What are the different main industries for all companies?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : main_industry (text) , company (text)", "shrink-score": 0.8888888888888888}
{"db_id": "gas_company", "question": "List all headquarters and the number of companies in each headquarter.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : headquarters (text) , company (text) , company_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "For each headquarter, what are the headquarter and how many companies are centered there?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : headquarters (text) , company (text) , company_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "Show all main industry and total market value in each industry.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : main_industry (text) , market_value (number) , company (text)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "What are the main indstries and total market value for each industry?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : main_industry (text) , market_value (number) , company (text)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "List the main industry with highest total market value and its number of companies.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : main_industry (text) , company (text) , market_value (number) , company_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "gas_company", "question": "For each main industry, what is the total number of companies for the industry with the highest total market value?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : main_industry (text) , company (text) , market_value (number) , company_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "gas_company", "question": "Show headquarters with at least two companies in the banking industry.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : headquarters (text) , company (text) , main_industry (text) , company_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "gas_company", "question": "What are the headquarters with at least two companies in the banking industry?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : headquarters (text) , company (text) , main_industry (text) , company_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "gas_company", "question": "Show gas station id, location, and manager_name for all gas stations ordered by open year.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : station_id (number) , location (text) , manager_name (text) , open_year (number)", "shrink-score": 0.7777777777777778}
{"db_id": "gas_company", "question": "What are the gas station ids, locations, and manager names for the gas stations ordered by opening year?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : station_id (number) , location (text) , manager_name (text) , open_year (number)", "shrink-score": 0.7777777777777778}
{"db_id": "gas_company", "question": "How many gas station are opened between 2000 and 2005?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : open_year (number) , station_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "gas_company", "question": "What is the total number of gas stations that opened between 2000 and 2005?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : open_year (number) , station_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "gas_company", "question": "Show all locations and the number of gas stations in each location ordered by the count.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : location (text) , station_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "gas_company", "question": "For each location, how many gas stations are there in order?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : location (text) , station_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "gas_company", "question": "Show all headquarters with both a company in banking industry and a company in Oil and gas.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : headquarters (text) , company (text) , main_industry (text)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "What are the headquarters that have both a company in the banking and 'oil and gas' industries?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : headquarters (text) , company (text) , main_industry (text)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "Show all headquarters without a company in banking industry.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : headquarters (text) , company (text) , main_industry (text)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "What are the headquarters without companies that are in the banking industry?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : headquarters (text) , company (text) , main_industry (text)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "Show the company name with the number of gas station.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : company (text) , company_id (number) | station_company : company_id (number) , station_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "gas_company", "question": "For each company id, what are the companies and how many gas stations does each one operate?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : company (text) , company_id (number) | station_company : company_id (number) , station_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "gas_company", "question": "Show company name and main industry without a gas station.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : company (text) , main_industry (text) , company_id (number) | station_company : company_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "gas_company", "question": "What are the main industries of the companies without gas stations and what are the companies?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : company (text) , main_industry (text) , company_id (number) | station_company : company_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "gas_company", "question": "Show the manager name for gas stations belonging to the ExxonMobil company.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : manager_name (text) , station_id (number) | company : company (text) , company_id (number) | station_company : company_id (number) , station_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "gas_company", "question": "What are the names of the managers for gas stations that are operated by the ExxonMobil company?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : manager_name (text) , station_id (number) | company : company (text) , company_id (number) | station_company : company_id (number) , station_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "gas_company", "question": "Show all locations where a gas station for company with market value greater than 100 is located.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : location (text) , station_id (number) | company : company (text) , company_id (number) , market_value (number) | station_company : company_id (number) , station_id (number)", "shrink-score": 0.6111111111111112}
{"db_id": "gas_company", "question": "What are the locations that have gas stations owned by a company with a market value greater than 100?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : location (text) , station_id (number) | company : company (text) , company_id (number) , market_value (number) | station_company : company_id (number) , station_id (number)", "shrink-score": 0.6111111111111112}
{"db_id": "gas_company", "question": "Show the manager name with most number of gas stations opened after 2000.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : manager_name (text) , open_year (number) , station_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "What is the name of the manager with the most gas stations that opened after 2000?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : manager_name (text) , open_year (number) , station_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "gas_company", "question": "order all gas station locations by the opening year.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : location (text) , open_year (number)", "shrink-score": 0.8888888888888888}
{"db_id": "gas_company", "question": "What are the locations of all the gas stations ordered by opening year?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : location (text) , open_year (number)", "shrink-score": 0.8888888888888888}
{"db_id": "gas_company", "question": "find the rank, company names, market values of the companies in the banking industry order by their sales and profits in billion.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : rank (number) , company (text) , market_value (number) , main_industry (text) , sales_billion (number) , profits_billion (number)", "shrink-score": 0.6666666666666666}
{"db_id": "gas_company", "question": "What is the rank, company, and market value of every comapny in the banking industry ordered by sales and profits?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "company : rank (number) , company (text) , market_value (number) , main_industry (text) , sales_billion (number) , profits_billion (number)", "shrink-score": 0.6666666666666666}
{"db_id": "gas_company", "question": "find the location and Representative name of the gas stations owned by the companies with top 3 Asset amounts.", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : location (text) , representative_name (text) , station_id (number) | company : company (text) , company_id (number) , assets_billion (number) | station_company : company_id (number) , station_id (number)", "shrink-score": 0.5555555555555556}
{"db_id": "gas_company", "question": "What are the locations and representatives' names of the gas stations owned by the companies with the 3 largest amounts of assets?", "schema": "company : company_id (number) , rank (number) , company (text) , headquarters (text) , main_industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value (number) | gas_station : station_id (number) , open_year (number) , location (text) , manager_name (text) , vice_manager_name (text) , representative_name (text) | station_company : station_id (number) , company_id (number) , rank_of_the_year (number)", "summarized-schema": "gas_station : location (text) , representative_name (text) , station_id (number) | company : company (text) , company_id (number) , assets_billion (number) | station_company : company_id (number) , station_id (number)", "shrink-score": 0.5555555555555556}
{"db_id": "party_people", "question": "How many regions do we have?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "region : region_id (number)", "shrink-score": 0.95}
{"db_id": "party_people", "question": "Count the number of regions.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "region : region_id (number)", "shrink-score": 0.95}
{"db_id": "party_people", "question": "Show all distinct region names ordered by their labels.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "region : region_name (text) , label (text)", "shrink-score": 0.9}
{"db_id": "party_people", "question": "What are the different region names, ordered by labels?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "region : region_name (text) , label (text)", "shrink-score": 0.9}
{"db_id": "party_people", "question": "How many parties do we have?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : party_name (text)", "shrink-score": 0.95}
{"db_id": "party_people", "question": "Count the number of different parties.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : party_name (text)", "shrink-score": 0.95}
{"db_id": "party_people", "question": "Show the ministers and the time they took and left office, listed by the time they left office.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : minister (text) , took_office (text) , left_office (text)", "shrink-score": 0.85}
{"db_id": "party_people", "question": "Who are the ministers, when did they take office, and when did they leave office, ordered by when they left office?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : minister (text) , took_office (text) , left_office (text)", "shrink-score": 0.85}
{"db_id": "party_people", "question": "Show the minister who took office after 1961 or before 1959.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : minister (text) , took_office (text)", "shrink-score": 0.9}
{"db_id": "party_people", "question": "Who are the ministers who took office after 1961 or before 1959?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : minister (text) , took_office (text)", "shrink-score": 0.9}
{"db_id": "party_people", "question": "Show all ministers who do not belong to Progress Party.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : minister (text) , party_name (text)", "shrink-score": 0.9}
{"db_id": "party_people", "question": "Which ministers are not a part of the Progress Party?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : minister (text) , party_name (text)", "shrink-score": 0.9}
{"db_id": "party_people", "question": "Show all ministers and parties they belong to in descending order of the time they took office.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : minister (text) , party_name (text) , took_office (text)", "shrink-score": 0.85}
{"db_id": "party_people", "question": "Who are the ministers and what parties do they belong to, listed descending by the times they took office?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : minister (text) , party_name (text) , took_office (text)", "shrink-score": 0.85}
{"db_id": "party_people", "question": "Return the minister who left office at the latest time.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : minister (text) , left_office (text)", "shrink-score": 0.9}
{"db_id": "party_people", "question": "Which minister left office the latest?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : minister (text) , left_office (text)", "shrink-score": 0.9}
{"db_id": "party_people", "question": "List member names and their party names.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "member : member_name (text) , party_id (text) | party : party_name (text) , party_id (number)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "What are the names of members and their corresponding parties?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "member : member_name (text) , party_id (text) | party : party_name (text) , party_id (number)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "Show all party names and the number of members in each party.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : party_name (text) , party_id (number) | member : party_id (text) , member_id (number)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "How many members are in each party?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : party_name (text) , party_id (number) | member : party_id (text) , member_id (number)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "What is the name of party with most number of members?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : party_name (text) , party_id (number) | member : party_id (text) , member_id (number)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "Return the name of the party with the most members.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : party_name (text) , party_id (number) | member : party_id (text) , member_id (number)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "Show all party names and their region names.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : party_name (text) , region_id (number) | region : region_name (text) , region_id (number)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "What are the names of parties and their respective regions?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : party_name (text) , region_id (number) | region : region_name (text) , region_id (number)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "Show names of parties that does not have any members.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : party_name (text) , party_id (number) | member : party_id (text)", "shrink-score": 0.85}
{"db_id": "party_people", "question": "What are the names of parties that have no members?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : party_name (text) , party_id (number) | member : party_id (text)", "shrink-score": 0.85}
{"db_id": "party_people", "question": "Show the member names which are in both the party with id 3 and the party with id 1.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "member : member_name (text) , party_id (text)", "shrink-score": 0.9}
{"db_id": "party_people", "question": "Which member names are shared among members in the party with the id 3 and the party with the id 1?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "member : member_name (text) , party_id (text)", "shrink-score": 0.9}
{"db_id": "party_people", "question": "Show member names that are not in the Progress Party.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "member : member_name (text) , party_id (text) | party : party_id (number) , party_name (text)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "Which member names corresponding to members who are not in the Progress Party?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "member : member_name (text) , party_id (text) | party : party_id (number) , party_name (text)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "How many party events do we have?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party_events : event_id (number)", "shrink-score": 0.95}
{"db_id": "party_people", "question": "Count the number of party events.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party_events : event_id (number)", "shrink-score": 0.95}
{"db_id": "party_people", "question": "Show party names and the number of events for each party.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : party_name (text) , party_id (number) | party_events : party_id (number) , event_id (number)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "How many events are there for each party?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : party_name (text) , party_id (number) | party_events : party_id (number) , event_id (number)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "Show all member names who are not in charge of any event.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "member : member_name (text) , member_id (number) | party_events : member_in_charge_id (number)", "shrink-score": 0.85}
{"db_id": "party_people", "question": "What are the names of members who are not in charge of any events?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "member : member_name (text) , member_id (number) | party_events : member_in_charge_id (number)", "shrink-score": 0.85}
{"db_id": "party_people", "question": "What are the names of parties with at least 2 events?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : party_name (text) , party_id (number) | party_events : party_id (number) , event_id (number)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "Return the names of parties that have two or more events.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party : party_name (text) , party_id (number) | party_events : party_id (number) , event_id (number)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "What is the name of member in charge of greatest number of events?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "member : member_name (text) , member_id (number) | party_events : member_in_charge_id (number) , event_id (number)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "Return the name of the member who is in charge of the most events.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "member : member_name (text) , member_id (number) | party_events : member_in_charge_id (number) , event_id (number)", "shrink-score": 0.8}
{"db_id": "party_people", "question": "find the event names that have more than 2 records.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party_events : event_name (text) , event_id (number)", "shrink-score": 0.9}
{"db_id": "party_people", "question": "Which event names were used more than twice for party events?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "party_events : event_name (text) , event_id (number)", "shrink-score": 0.9}
{"db_id": "party_people", "question": "How many Annual Meeting events happened in the United Kingdom region?", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "region : region_id (number) , region_name (text) | party : region_id (number) , party_id (number) | party_events : party_id (number) , event_name (text) , event_id (number)", "shrink-score": 0.65}
{"db_id": "party_people", "question": "Count the number of Annual Meeting events that took place in the region of the United Kingdom.", "schema": "region : region_id (number) , region_name (text) , date (text) , label (text) , format (text) , catalogue (text) | party : party_id (number) , minister (text) , took_office (text) , left_office (text) , region_id (number) , party_name (text) | member : member_id (number) , member_name (text) , party_id (text) , in_office (text) | party_events : event_id (number) , event_name (text) , party_id (number) , member_in_charge_id (number)", "summarized-schema": "region : region_id (number) , region_name (text) | party : region_id (number) , party_id (number) | party_events : party_id (number) , event_name (text) , event_id (number)", "shrink-score": 0.65}
{"db_id": "pilot_record", "question": "How many pilots are there?", "schema": "aircraft : aircraft_id (number) , order_year (number) , manufacturer (text) , model (text) , fleet_series (text) , powertrain (text) , fuel_propulsion (text) | pilot : pilot_id (number) , pilot_name (text) , rank (number) , age (number) , nationality (text) , position (text) , join_year (number) , team (text) | pilot_record : record_id (number) , pilot_id (number) , aircraft_id (number) , date (text)", "summarized-schema": "pilot : pilot_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "pilot_record", "question": "List the names of pilots in ascending order of rank.", "schema": "aircraft : aircraft_id (number) , order_year (number) , manufacturer (text) , model (text) , fleet_series (text) , powertrain (text) , fuel_propulsion (text) | pilot : pilot_id (number) , pilot_name (text) , rank (number) , age (number) , nationality (text) , position (text) , join_year (number) , team (text) | pilot_record : record_id (number) , pilot_id (number) , aircraft_id (number) , date (text)", "summarized-schema": "pilot : pilot_name (text) , rank (number)", "shrink-score": 0.8947368421052632}
{"db_id": "pilot_record", "question": "What are the positions and teams of pilots?", "schema": "aircraft : aircraft_id (number) , order_year (number) , manufacturer (text) , model (text) , fleet_series (text) , powertrain (text) , fuel_propulsion (text) | pilot : pilot_id (number) , pilot_name (text) , rank (number) , age (number) , nationality (text) , position (text) , join_year (number) , team (text) | pilot_record : record_id (number) , pilot_id (number) , aircraft_id (number) , date (text)", "summarized-schema": "pilot : position (text) , team (text)", "shrink-score": 0.8947368421052632}
{"db_id": "pilot_record", "question": "List the distinct positions of pilots older than 30.", "schema": "aircraft : aircraft_id (number) , order_year (number) , manufacturer (text) , model (text) , fleet_series (text) , powertrain (text) , fuel_propulsion (text) | pilot : pilot_id (number) , pilot_name (text) , rank (number) , age (number) , nationality (text) , position (text) , join_year (number) , team (text) | pilot_record : record_id (number) , pilot_id (number) , aircraft_id (number) , date (text)", "summarized-schema": "pilot : position (text) , age (number)", "shrink-score": 0.8947368421052632}
{"db_id": "pilot_record", "question": "Show the names of pilots from team \"Bradley\" or \"Fordham\".", "schema": "aircraft : aircraft_id (number) , order_year (number) , manufacturer (text) , model (text) , fleet_series (text) , powertrain (text) , fuel_propulsion (text) | pilot : pilot_id (number) , pilot_name (text) , rank (number) , age (number) , nationality (text) , position (text) , join_year (number) , team (text) | pilot_record : record_id (number) , pilot_id (number) , aircraft_id (number) , date (text)", "summarized-schema": "pilot : pilot_name (text) , team (text)", "shrink-score": 0.8947368421052632}
{"db_id": "pilot_record", "question": "What is the joined year of the pilot of the highest rank?", "schema": "aircraft : aircraft_id (number) , order_year (number) , manufacturer (text) , model (text) , fleet_series (text) , powertrain (text) , fuel_propulsion (text) | pilot : pilot_id (number) , pilot_name (text) , rank (number) , age (number) , nationality (text) , position (text) , join_year (number) , team (text) | pilot_record : record_id (number) , pilot_id (number) , aircraft_id (number) , date (text)", "summarized-schema": "pilot : join_year (number) , rank (number)", "shrink-score": 0.8947368421052632}
{"db_id": "pilot_record", "question": "What are the different nationalities of pilots? Show each nationality and the number of pilots of each nationality.", "schema": "aircraft : aircraft_id (number) , order_year (number) , manufacturer (text) , model (text) , fleet_series (text) , powertrain (text) , fuel_propulsion (text) | pilot : pilot_id (number) , pilot_name (text) , rank (number) , age (number) , nationality (text) , position (text) , join_year (number) , team (text) | pilot_record : record_id (number) , pilot_id (number) , aircraft_id (number) , date (text)", "summarized-schema": "pilot : nationality (text) , pilot_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "pilot_record", "question": "Show the most common nationality of pilots.", "schema": "aircraft : aircraft_id (number) , order_year (number) , manufacturer (text) , model (text) , fleet_series (text) , powertrain (text) , fuel_propulsion (text) | pilot : pilot_id (number) , pilot_name (text) , rank (number) , age (number) , nationality (text) , position (text) , join_year (number) , team (text) | pilot_record : record_id (number) , pilot_id (number) , aircraft_id (number) , date (text)", "summarized-schema": "pilot : nationality (text) , pilot_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "pilot_record", "question": "Show the pilot positions that have both pilots joining after year 2005 and pilots joining before 2000.", "schema": "aircraft : aircraft_id (number) , order_year (number) , manufacturer (text) , model (text) , fleet_series (text) , powertrain (text) , fuel_propulsion (text) | pilot : pilot_id (number) , pilot_name (text) , rank (number) , age (number) , nationality (text) , position (text) , join_year (number) , team (text) | pilot_record : record_id (number) , pilot_id (number) , aircraft_id (number) , date (text)", "summarized-schema": "pilot : position (text) , join_year (number)", "shrink-score": 0.8947368421052632}
{"db_id": "pilot_record", "question": "Show the names of pilots and models of aircrafts they have flied with.", "schema": "aircraft : aircraft_id (number) , order_year (number) , manufacturer (text) , model (text) , fleet_series (text) , powertrain (text) , fuel_propulsion (text) | pilot : pilot_id (number) , pilot_name (text) , rank (number) , age (number) , nationality (text) , position (text) , join_year (number) , team (text) | pilot_record : record_id (number) , pilot_id (number) , aircraft_id (number) , date (text)", "summarized-schema": "pilot : pilot_name (text) , pilot_id (number) | aircraft : model (text) , aircraft_id (number) | pilot_record : aircraft_id (number) , pilot_id (number)", "shrink-score": 0.6842105263157895}
{"db_id": "pilot_record", "question": "Show the names of pilots and fleet series of the aircrafts they have flied with in ascending order of the rank of the pilot.", "schema": "aircraft : aircraft_id (number) , order_year (number) , manufacturer (text) , model (text) , fleet_series (text) , powertrain (text) , fuel_propulsion (text) | pilot : pilot_id (number) , pilot_name (text) , rank (number) , age (number) , nationality (text) , position (text) , join_year (number) , team (text) | pilot_record : record_id (number) , pilot_id (number) , aircraft_id (number) , date (text)", "summarized-schema": "pilot : pilot_name (text) , pilot_id (number) , rank (number) | aircraft : fleet_series (text) , aircraft_id (number) | pilot_record : aircraft_id (number) , pilot_id (number)", "shrink-score": 0.631578947368421}
{"db_id": "pilot_record", "question": "Show the fleet series of the aircrafts flied by pilots younger than 34", "schema": "aircraft : aircraft_id (number) , order_year (number) , manufacturer (text) , model (text) , fleet_series (text) , powertrain (text) , fuel_propulsion (text) | pilot : pilot_id (number) , pilot_name (text) , rank (number) , age (number) , nationality (text) , position (text) , join_year (number) , team (text) | pilot_record : record_id (number) , pilot_id (number) , aircraft_id (number) , date (text)", "summarized-schema": "aircraft : fleet_series (text) , aircraft_id (number) | pilot_record : aircraft_id (number) , pilot_id (number) | pilot : pilot_id (number) , age (number)", "shrink-score": 0.6842105263157895}
{"db_id": "pilot_record", "question": "Show the names of pilots and the number of records they have.", "schema": "aircraft : aircraft_id (number) , order_year (number) , manufacturer (text) , model (text) , fleet_series (text) , powertrain (text) , fuel_propulsion (text) | pilot : pilot_id (number) , pilot_name (text) , rank (number) , age (number) , nationality (text) , position (text) , join_year (number) , team (text) | pilot_record : record_id (number) , pilot_id (number) , aircraft_id (number) , date (text)", "summarized-schema": "pilot : pilot_name (text) , pilot_id (number) | pilot_record : pilot_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "pilot_record", "question": "Show names of pilots that have more than one record.", "schema": "aircraft : aircraft_id (number) , order_year (number) , manufacturer (text) , model (text) , fleet_series (text) , powertrain (text) , fuel_propulsion (text) | pilot : pilot_id (number) , pilot_name (text) , rank (number) , age (number) , nationality (text) , position (text) , join_year (number) , team (text) | pilot_record : record_id (number) , pilot_id (number) , aircraft_id (number) , date (text)", "summarized-schema": "pilot : pilot_name (text) , pilot_id (number) | pilot_record : pilot_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "pilot_record", "question": "List the names of pilots that do not have any record.", "schema": "aircraft : aircraft_id (number) , order_year (number) , manufacturer (text) , model (text) , fleet_series (text) , powertrain (text) , fuel_propulsion (text) | pilot : pilot_id (number) , pilot_name (text) , rank (number) , age (number) , nationality (text) , position (text) , join_year (number) , team (text) | pilot_record : record_id (number) , pilot_id (number) , aircraft_id (number) , date (text)", "summarized-schema": "pilot : pilot_name (text) , pilot_id (number) | pilot_record : pilot_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "cre_Doc_Control_Systems", "question": "What document status codes do we have?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "ref_document_status : document_status_code (text)", "shrink-score": 0.9714285714285714}
{"db_id": "cre_Doc_Control_Systems", "question": "What is the description of document status code 'working'?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "ref_document_status : document_status_description (text) , document_status_code (text)", "shrink-score": 0.9428571428571428}
{"db_id": "cre_Doc_Control_Systems", "question": "What document type codes do we have?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "ref_document_types : document_type_code (text)", "shrink-score": 0.9714285714285714}
{"db_id": "cre_Doc_Control_Systems", "question": "What is the description of document type 'Paper'?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "ref_document_types : document_type_description (text) , document_type_code (text)", "shrink-score": 0.9428571428571428}
{"db_id": "cre_Doc_Control_Systems", "question": "What are the shipping agent names?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "ref_shipping_agents : shipping_agent_name (text)", "shrink-score": 0.9714285714285714}
{"db_id": "cre_Doc_Control_Systems", "question": "What is the shipping agent code of shipping agent UPS?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text)", "shrink-score": 0.9428571428571428}
{"db_id": "cre_Doc_Control_Systems", "question": "What are all role codes?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "roles : role_code (text)", "shrink-score": 0.9714285714285714}
{"db_id": "cre_Doc_Control_Systems", "question": "What is the description of role code ED?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "roles : role_description (text) , role_code (text)", "shrink-score": 0.9428571428571428}
{"db_id": "cre_Doc_Control_Systems", "question": "How many employees do we have?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "employees : employee_id (number)", "shrink-score": 0.9714285714285714}
{"db_id": "cre_Doc_Control_Systems", "question": "What is the role of the employee named Koby?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "roles : role_description (text) , role_code (text) | employees : role_code (text) , employee_name (text)", "shrink-score": 0.8857142857142857}
{"db_id": "cre_Doc_Control_Systems", "question": "List all document ids and receipt dates of documents.", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "documents : document_id (number) , receipt_date (time)", "shrink-score": 0.9428571428571428}
{"db_id": "cre_Doc_Control_Systems", "question": "How many employees does each role have? List role description, id and number of employees.", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "roles : role_description (text) , role_code (text) | employees : role_code (text) , employee_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "cre_Doc_Control_Systems", "question": "How many documents have the status code done?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "documents : document_status_code (text) , document_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "cre_Doc_Control_Systems", "question": "List the document type code for the document with the id 2.", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "documents : document_type_code (text) , document_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "cre_Doc_Control_Systems", "question": "List the document ids for any documents with the status code done and the type code paper.", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "documents : document_id (number) , document_status_code (text) , document_type_code (text)", "shrink-score": 0.9142857142857143}
{"db_id": "cre_Doc_Control_Systems", "question": "How many documents were shipped by USPS?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "ref_shipping_agents : shipping_agent_code (text) | documents : document_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "cre_Doc_Control_Systems", "question": "What is the receipt date of the document with id 3?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "documents : receipt_date (time) , document_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "cre_Doc_Control_Systems", "question": "What address was the document with id 4 mailed to?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "documents_mailed : document_id (number)", "shrink-score": 0.9714285714285714}
{"db_id": "cre_Doc_Control_Systems", "question": "What is the mail date of the document with id 7?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "documents_mailed : mailing_date (time) , document_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "cre_Doc_Control_Systems", "question": "List the document ids of documents with the status done and type Paper, which not shipped by the shipping agent named USPS.", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "documents : document_id (number) , document_status_code (text) , document_type_code (text)", "shrink-score": 0.9142857142857143}
{"db_id": "cre_Doc_Control_Systems", "question": "List document id of documents status is done and document type is Paper and the document is shipped by shipping agent named USPS.", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "documents : document_id (number) , document_status_code (text) , document_type_code (text)", "shrink-score": 0.9142857142857143}
{"db_id": "cre_Doc_Control_Systems", "question": "What is draft detail of the document with id 7?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "document_drafts : draft_details (text) , document_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "cre_Doc_Control_Systems", "question": "How many draft copies does the document with id 2 have?", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "draft_copies : document_id (number)", "shrink-score": 0.9714285714285714}
{"db_id": "cre_Doc_Control_Systems", "question": "Which document has the most draft copies? List its document id and number of draft copies.", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "draft_copies : document_id (number) , copy_number (number)", "shrink-score": 0.9428571428571428}
{"db_id": "cre_Doc_Control_Systems", "question": "Which documents have more than 1 draft copies? List document id and number of draft copies.", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "draft_copies : document_id (number)", "shrink-score": 0.9714285714285714}
{"db_id": "cre_Doc_Control_Systems", "question": "List the employees who have not showed up in any circulation history of documents. List the employee's name.", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "employees : employee_name (text)", "shrink-score": 0.9714285714285714}
{"db_id": "cre_Doc_Control_Systems", "question": "Which employee has showed up in most circulation history documents. List the employee's name and the number of drafts and copies.", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "employees : employee_id (number) | circulation_history : document_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "cre_Doc_Control_Systems", "question": "For each document, list the number of employees who have showed up in the circulation history of that document. List the document ids and number of employees.", "schema": "ref_document_types : document_type_code (text) , document_type_description (text) | roles : role_code (text) , role_description (text) | addresses : address_id (number) , address_details (text) | ref_document_status : document_status_code (text) , document_status_description (text) | ref_shipping_agents : shipping_agent_code (text) , shipping_agent_name (text) , shipping_agent_description (text) | documents : document_id (number) , document_status_code (text) , document_type_code (text) , shipping_agent_code (text) , receipt_date (time) , receipt_number (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , other_details (text) | document_drafts : document_id (number) , draft_number (number) , draft_details (text) | draft_copies : document_id (number) , draft_number (number) , copy_number (number) | circulation_history : document_id (number) , draft_number (number) , copy_number (number) , employee_id (number) | documents_mailed : document_id (number) , mailed_to_address_id (number) , mailing_date (time)", "summarized-schema": "circulation_history : document_id (number) , employee_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "company_1", "question": "List all department names ordered by their starting date.", "schema": "works_on : essn (number) , pno (number) , hours (number) | employee : fname (text) , minit (text) , lname (text) , ssn (number) , bdate (text) , address (text) , sex (text) , salary (number) , super_ssn (number) , dno (number) | department : dname (text) , dnumber (number) , mgr_ssn (number) , mgr_start_date (text) | project : pname (text) , pnumber (number) , plocation (text) , dnum (number) | dependent : essn (number) , dependent_name (text) , sex (text) , bdate (text) , relationship (text) | dept_locations : dnumber (number) , dlocation (text)", "summarized-schema": "department : dname (text) , mgr_start_date (text)", "shrink-score": 0.9285714285714286}
{"db_id": "company_1", "question": "find all dependent names who have a spouse relation with some employee.", "schema": "works_on : essn (number) , pno (number) , hours (number) | employee : fname (text) , minit (text) , lname (text) , ssn (number) , bdate (text) , address (text) , sex (text) , salary (number) , super_ssn (number) , dno (number) | department : dname (text) , dnumber (number) , mgr_ssn (number) , mgr_start_date (text) | project : pname (text) , pnumber (number) , plocation (text) , dnum (number) | dependent : essn (number) , dependent_name (text) , sex (text) , bdate (text) , relationship (text) | dept_locations : dnumber (number) , dlocation (text)", "summarized-schema": "dependent : dependent_name (text) , relationship (text)", "shrink-score": 0.9285714285714286}
{"db_id": "company_1", "question": "how many female dependents are there?", "schema": "works_on : essn (number) , pno (number) , hours (number) | employee : fname (text) , minit (text) , lname (text) , ssn (number) , bdate (text) , address (text) , sex (text) , salary (number) , super_ssn (number) , dno (number) | department : dname (text) , dnumber (number) , mgr_ssn (number) , mgr_start_date (text) | project : pname (text) , pnumber (number) , plocation (text) , dnum (number) | dependent : essn (number) , dependent_name (text) , sex (text) , bdate (text) , relationship (text) | dept_locations : dnumber (number) , dlocation (text)", "summarized-schema": "dependent : sex (text) , essn (number)", "shrink-score": 0.9285714285714286}
{"db_id": "company_1", "question": "Find the names of departments that are located in Houston.", "schema": "works_on : essn (number) , pno (number) , hours (number) | employee : fname (text) , minit (text) , lname (text) , ssn (number) , bdate (text) , address (text) , sex (text) , salary (number) , super_ssn (number) , dno (number) | department : dname (text) , dnumber (number) , mgr_ssn (number) , mgr_start_date (text) | project : pname (text) , pnumber (number) , plocation (text) , dnum (number) | dependent : essn (number) , dependent_name (text) , sex (text) , bdate (text) , relationship (text) | dept_locations : dnumber (number) , dlocation (text)", "summarized-schema": "department : dname (text) , dnumber (number) | dept_locations : dnumber (number) , dlocation (text)", "shrink-score": 0.8571428571428571}
{"db_id": "company_1", "question": "Return the first names and last names of employees who earn more than 30000 in salary.", "schema": "works_on : essn (number) , pno (number) , hours (number) | employee : fname (text) , minit (text) , lname (text) , ssn (number) , bdate (text) , address (text) , sex (text) , salary (number) , super_ssn (number) , dno (number) | department : dname (text) , dnumber (number) , mgr_ssn (number) , mgr_start_date (text) | project : pname (text) , pnumber (number) , plocation (text) , dnum (number) | dependent : essn (number) , dependent_name (text) , sex (text) , bdate (text) , relationship (text) | dept_locations : dnumber (number) , dlocation (text)", "summarized-schema": "employee : fname (text) , lname (text) , salary (number)", "shrink-score": 0.8928571428571429}
{"db_id": "company_1", "question": "Find the number of employees of each gender whose salary is lower than 50000.", "schema": "works_on : essn (number) , pno (number) , hours (number) | employee : fname (text) , minit (text) , lname (text) , ssn (number) , bdate (text) , address (text) , sex (text) , salary (number) , super_ssn (number) , dno (number) | department : dname (text) , dnumber (number) , mgr_ssn (number) , mgr_start_date (text) | project : pname (text) , pnumber (number) , plocation (text) , dnum (number) | dependent : essn (number) , dependent_name (text) , sex (text) , bdate (text) , relationship (text) | dept_locations : dnumber (number) , dlocation (text)", "summarized-schema": "employee : sex (text) , salary (number) , ssn (number)", "shrink-score": 0.8928571428571429}
{"db_id": "company_1", "question": "list the first and last names, and the addresses of all employees in the ascending order of their birth date.", "schema": "works_on : essn (number) , pno (number) , hours (number) | employee : fname (text) , minit (text) , lname (text) , ssn (number) , bdate (text) , address (text) , sex (text) , salary (number) , super_ssn (number) , dno (number) | department : dname (text) , dnumber (number) , mgr_ssn (number) , mgr_start_date (text) | project : pname (text) , pnumber (number) , plocation (text) , dnum (number) | dependent : essn (number) , dependent_name (text) , sex (text) , bdate (text) , relationship (text) | dept_locations : dnumber (number) , dlocation (text)", "summarized-schema": "employee : fname (text) , lname (text) , address (text) , bdate (text)", "shrink-score": 0.8571428571428571}
{"db_id": "local_govt_in_alabama", "question": "what are the event details of the services that have the type code 'Marriage'?", "schema": "services : service_id (number) , service_type_code (text) | participants : participant_id (number) , participant_type_code (text) , participant_details (text) | events : event_id (number) , service_id (number) , event_details (text) | participants_in_events : event_id (number) , participant_id (number)", "summarized-schema": "events : event_details (text) , service_id (number) | services : service_id (number) , service_type_code (text)", "shrink-score": 0.6}
{"db_id": "local_govt_in_alabama", "question": "What are the ids and details of events that have more than one participants?", "schema": "services : service_id (number) , service_type_code (text) | participants : participant_id (number) , participant_type_code (text) , participant_details (text) | events : event_id (number) , service_id (number) , event_details (text) | participants_in_events : event_id (number) , participant_id (number)", "summarized-schema": "events : event_id (number) , event_details (text) | participants_in_events : event_id (number)", "shrink-score": 0.7}
{"db_id": "local_govt_in_alabama", "question": "How many events have each participants attended? List the participant id, type and the number.", "schema": "services : service_id (number) , service_type_code (text) | participants : participant_id (number) , participant_type_code (text) , participant_details (text) | events : event_id (number) , service_id (number) , event_details (text) | participants_in_events : event_id (number) , participant_id (number)", "summarized-schema": "participants : participant_id (number) , participant_type_code (text) | participants_in_events : participant_id (number) , event_id (number)", "shrink-score": 0.6}
{"db_id": "local_govt_in_alabama", "question": "What are all the the participant ids, type code and details?", "schema": "services : service_id (number) , service_type_code (text) | participants : participant_id (number) , participant_type_code (text) , participant_details (text) | events : event_id (number) , service_id (number) , event_details (text) | participants_in_events : event_id (number) , participant_id (number)", "summarized-schema": "participants : participant_id (number) , participant_type_code (text) , participant_details (text)", "shrink-score": 0.7}
{"db_id": "local_govt_in_alabama", "question": "How many participants belong to the type 'Organizer'?", "schema": "services : service_id (number) , service_type_code (text) | participants : participant_id (number) , participant_type_code (text) , participant_details (text) | events : event_id (number) , service_id (number) , event_details (text) | participants_in_events : event_id (number) , participant_id (number)", "summarized-schema": "participants : participant_type_code (text) , participant_id (number)", "shrink-score": 0.8}
{"db_id": "local_govt_in_alabama", "question": "List the type of the services in alphabetical order.", "schema": "services : service_id (number) , service_type_code (text) | participants : participant_id (number) , participant_type_code (text) , participant_details (text) | events : event_id (number) , service_id (number) , event_details (text) | participants_in_events : event_id (number) , participant_id (number)", "summarized-schema": "services : service_type_code (text)", "shrink-score": 0.9}
{"db_id": "local_govt_in_alabama", "question": "List the service id and details for the events.", "schema": "services : service_id (number) , service_type_code (text) | participants : participant_id (number) , participant_type_code (text) , participant_details (text) | events : event_id (number) , service_id (number) , event_details (text) | participants_in_events : event_id (number) , participant_id (number)", "summarized-schema": "events : service_id (number) , event_details (text)", "shrink-score": 0.8}
{"db_id": "local_govt_in_alabama", "question": "How many events had participants whose details had the substring 'Dr.'", "schema": "services : service_id (number) , service_type_code (text) | participants : participant_id (number) , participant_type_code (text) , participant_details (text) | events : event_id (number) , service_id (number) , event_details (text) | participants_in_events : event_id (number) , participant_id (number)", "summarized-schema": "participants : participant_id (number) , participant_details (text) | participants_in_events : participant_id (number) , event_id (number)", "shrink-score": 0.6}
{"db_id": "local_govt_in_alabama", "question": "What is the most common participant type?", "schema": "services : service_id (number) , service_type_code (text) | participants : participant_id (number) , participant_type_code (text) , participant_details (text) | events : event_id (number) , service_id (number) , event_details (text) | participants_in_events : event_id (number) , participant_id (number)", "summarized-schema": "participants : participant_type_code (text) , participant_id (number)", "shrink-score": 0.8}
{"db_id": "local_govt_in_alabama", "question": "Which service id and type has the least number of participants?", "schema": "services : service_id (number) , service_type_code (text) | participants : participant_id (number) , participant_type_code (text) , participant_details (text) | events : event_id (number) , service_id (number) , event_details (text) | participants_in_events : event_id (number) , participant_id (number)", "summarized-schema": "services : service_id (number) , service_type_code (text) | events : service_id (number) , event_id (number) | participants : participant_id (number) | participants_in_events : participant_id (number) , event_id (number)", "shrink-score": 0.3}
{"db_id": "local_govt_in_alabama", "question": "What is the id of the event with the most participants?", "schema": "services : service_id (number) , service_type_code (text) | participants : participant_id (number) , participant_type_code (text) , participant_details (text) | events : event_id (number) , service_id (number) , event_details (text) | participants_in_events : event_id (number) , participant_id (number)", "summarized-schema": "participants_in_events : event_id (number)", "shrink-score": 0.9}
{"db_id": "local_govt_in_alabama", "question": "Which events id does not have any participant with detail 'Kenyatta Kuhn'?", "schema": "services : service_id (number) , service_type_code (text) | participants : participant_id (number) , participant_type_code (text) , participant_details (text) | events : event_id (number) , service_id (number) , event_details (text) | participants_in_events : event_id (number) , participant_id (number)", "summarized-schema": "events : event_id (number) | participants_in_events : event_id (number) , participant_id (number) | participants : participant_id (number) , participant_details (text)", "shrink-score": 0.5}
{"db_id": "local_govt_in_alabama", "question": "Which services type had both successful and failure event details?", "schema": "services : service_id (number) , service_type_code (text) | participants : participant_id (number) , participant_type_code (text) , participant_details (text) | events : event_id (number) , service_id (number) , event_details (text) | participants_in_events : event_id (number) , participant_id (number)", "summarized-schema": "services : service_type_code (text) , service_id (number) | events : service_id (number) , event_details (text)", "shrink-score": 0.6}
{"db_id": "local_govt_in_alabama", "question": "How many events did not have any participants?", "schema": "services : service_id (number) , service_type_code (text) | participants : participant_id (number) , participant_type_code (text) , participant_details (text) | events : event_id (number) , service_id (number) , event_details (text) | participants_in_events : event_id (number) , participant_id (number)", "summarized-schema": "events : event_id (number) | participants_in_events : event_id (number)", "shrink-score": 0.8}
{"db_id": "local_govt_in_alabama", "question": "What are all the distinct participant ids who attended any events?", "schema": "services : service_id (number) , service_type_code (text) | participants : participant_id (number) , participant_type_code (text) , participant_details (text) | events : event_id (number) , service_id (number) , event_details (text) | participants_in_events : event_id (number) , participant_id (number)", "summarized-schema": "participants_in_events : participant_id (number)", "shrink-score": 0.9}
{"db_id": "formula_1", "question": "What is the name of the race held most recently?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text) , date (text)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "What is the name of the race that occurred most recently?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text) , date (text)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "What is the name and date of the most recent race?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text) , date (text)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "What is the name and date of the race that occurred most recently?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text) , date (text)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "Find the names of all races held in 2017.", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text) , year (number)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "What are the names of all the races that occurred in the year 2017?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text) , year (number)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "Find the distinct names of all races held between 2014 and 2017?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text) , year (number)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "What are the unique names of all race held between 2014 and 2017?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text) , year (number)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "List the forename and surname of all distinct drivers who once had laptime less than 93000 milliseconds?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text) , surname (text) , driverid (number) | laptimes : driverid (number) , milliseconds (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "What are the forenames and surnames of all unique drivers who had a lap time of less than 93000 milliseconds?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text) , surname (text) , driverid (number) | laptimes : driverid (number) , milliseconds (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "Find all the distinct id and nationality of drivers who have had laptime more than 100000 milliseconds?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) , nationality (text) | laptimes : driverid (number) , milliseconds (number)", "shrink-score": 0.9574468085106383}
{"db_id": "formula_1", "question": "What are the different driver ids and nationalities of all drivers who had a laptime of more than 100000 milliseconds?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) , nationality (text) | laptimes : driverid (number) , milliseconds (number)", "shrink-score": 0.9574468085106383}
{"db_id": "formula_1", "question": "What are the forename and surname of the driver who has the smallest laptime?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text) , surname (text) , driverid (number) | laptimes : driverid (number) , milliseconds (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "What is the forename and surname of the driver with the shortest laptime?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text) , surname (text) , driverid (number) | laptimes : driverid (number) , milliseconds (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "What is the id and family name of the driver who has the longest laptime?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) , surname (text) | laptimes : driverid (number) , milliseconds (number)", "shrink-score": 0.9574468085106383}
{"db_id": "formula_1", "question": "What is the id and last name of the driver with the longest laptime?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) , surname (text) | laptimes : driverid (number) , milliseconds (number)", "shrink-score": 0.9574468085106383}
{"db_id": "formula_1", "question": "What is the id, forname and surname of the driver who had the first position in terms of laptime at least twice?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) , forename (text) , surname (text) | laptimes : driverid (number) , position (number) , raceid (number)", "shrink-score": 0.9361702127659575}
{"db_id": "formula_1", "question": "What is the id, first name, and last name of the driver who was in the first position for laptime at least twice?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) , forename (text) , surname (text) | laptimes : driverid (number) , position (number) , raceid (number)", "shrink-score": 0.9361702127659575}
{"db_id": "formula_1", "question": "How many drivers participated in the race Australian Grand Prix held in 2009?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : raceid (number) , name (text) , year (number) | results : raceid (number) , resultid (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "How many drivers were in the Australian Grand Prix held in 2009?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : raceid (number) , name (text) , year (number) | results : raceid (number) , resultid (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "How many drivers did not participate in the races held in 2009?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "results : driverid (number) , raceid (number) | races : raceid (number) , year (number)", "shrink-score": 0.9574468085106383}
{"db_id": "formula_1", "question": "How many drivers did not race in 2009?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "results : driverid (number) , raceid (number) | races : raceid (number) , year (number)", "shrink-score": 0.9574468085106383}
{"db_id": "formula_1", "question": "Give me a list of names and years of races that had any driver whose forename is Lewis?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text) , year (number) , raceid (number) | results : raceid (number) , driverid (number) | drivers : driverid (number) , forename (text)", "shrink-score": 0.925531914893617}
{"db_id": "formula_1", "question": "What are the names and years of all races that had a driver with the last name Lewis?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text) , year (number) , raceid (number) | results : raceid (number) , driverid (number) | drivers : driverid (number) , forename (text)", "shrink-score": 0.925531914893617}
{"db_id": "formula_1", "question": "Find the forename and surname of drivers whose nationality is German?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text) , surname (text) , nationality (text)", "shrink-score": 0.9680851063829787}
{"db_id": "formula_1", "question": "What is the first and last name of all the German drivers?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text) , surname (text) , nationality (text)", "shrink-score": 0.9680851063829787}
{"db_id": "formula_1", "question": "Find the id and forenames of drivers who participated both the races with name Australian Grand Prix and the races with name Chinese Grand Prix?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) , forename (text) | results : driverid (number) , raceid (number) | races : raceid (number) , name (text)", "shrink-score": 0.9361702127659575}
{"db_id": "formula_1", "question": "What is the id and first name of all the drivers who participated in the Australian Grand Prix and the Chinese Grand Prix?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) , forename (text) | results : driverid (number) , raceid (number) | races : raceid (number) , name (text)", "shrink-score": 0.9361702127659575}
{"db_id": "formula_1", "question": "What are the forenames and surnames of drivers who participated in the races named Australian Grand Prix but not the races named Chinese Grand Prix?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text) , surname (text) , driverid (number) | races : raceid (number) , name (text) | results : raceid (number) , driverid (number)", "shrink-score": 0.925531914893617}
{"db_id": "formula_1", "question": "What are the first and last names of all drivers who participated in the Australian Grand Prix but not the Chinese Grand Prix?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text) , surname (text) , driverid (number) | races : raceid (number) , name (text) | results : raceid (number) , driverid (number)", "shrink-score": 0.925531914893617}
{"db_id": "formula_1", "question": "Find all the forenames of distinct drivers who was in position 1 as standing and won?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text) , driverid (number) | driverstandings : driverid (number) , position (number) , wins (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "What are all the different first names of the drivers who are in position as standing and won?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text) , driverid (number) | driverstandings : driverid (number) , position (number) , wins (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "Find all the forenames of distinct drivers who won in position 1 as driver standing and had more than 20 points?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text) , driverid (number) | driverstandings : driverid (number) , position (number) , wins (number) , points (number)", "shrink-score": 0.9361702127659575}
{"db_id": "formula_1", "question": "What are the first names of the different drivers who won in position 1 as driver standing and had more than 20 points?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text) , driverid (number) | driverstandings : driverid (number) , position (number) , wins (number) , points (number)", "shrink-score": 0.9361702127659575}
{"db_id": "formula_1", "question": "What are the numbers of constructors for different nationalities?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "constructors : nationality (text) , constructorid (number)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "For each nationality, how many different constructors are there?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "constructors : nationality (text) , constructorid (number)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "What are the numbers of races for each constructor id?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "constructorstandings : constructorid (number) , constructorstandingsid (number)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "For each constructor id, how many races are there?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "constructorstandings : constructorid (number) , constructorstandingsid (number)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "What are the names of races that were held after 2017 and the circuits were in the country of Spain?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "circuits : name (text) , circuitid (number) , country (text) | races : name (text) , circuitid (number) , year (number)", "shrink-score": 0.9361702127659575}
{"db_id": "formula_1", "question": "What are the names of the races held after 2017 in Spain?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "circuits : name (text) , circuitid (number) , country (text) | races : name (text) , circuitid (number) , year (number)", "shrink-score": 0.9361702127659575}
{"db_id": "formula_1", "question": "What are the unique names of races that held after 2000 and the circuits were in Spain?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "circuits : name (text) , circuitid (number) , country (text) | races : name (text) , circuitid (number) , year (number)", "shrink-score": 0.9361702127659575}
{"db_id": "formula_1", "question": "What are the names of all races held after 2000 in Spain?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "circuits : name (text) , circuitid (number) , country (text) | races : name (text) , circuitid (number) , year (number)", "shrink-score": 0.9361702127659575}
{"db_id": "formula_1", "question": "Find the distinct driver id and the stop number of all drivers that have a shorter pit stop duration than some drivers in the race with id 841.", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "pitstops : driverid (number) , stop (number) , duration (text) , raceid (number)", "shrink-score": 0.9574468085106383}
{"db_id": "formula_1", "question": "What is the id and stop number for each driver that has a shorter pit stop than the driver in the race with id 841?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "pitstops : driverid (number) , stop (number) , duration (text) , raceid (number)", "shrink-score": 0.9574468085106383}
{"db_id": "formula_1", "question": "Find the distinct driver id of all drivers that have a longer stop duration than some drivers in the race whose id is 841?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "pitstops : driverid (number) , stop (number) , duration (text) , raceid (number)", "shrink-score": 0.9574468085106383}
{"db_id": "formula_1", "question": "What are the different ids and stop durations of all the drivers whose stop lasted longer than the driver in the race with the id 841?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "pitstops : driverid (number) , stop (number) , duration (text) , raceid (number)", "shrink-score": 0.9574468085106383}
{"db_id": "formula_1", "question": "List the forenames of all distinct drivers in alphabetical order?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text)", "shrink-score": 0.9893617021276596}
{"db_id": "formula_1", "question": "What are the first names of all the different drivers in alphabetical order?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text)", "shrink-score": 0.9893617021276596}
{"db_id": "formula_1", "question": "List the names of all distinct races in reversed  lexicographic order?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text)", "shrink-score": 0.9893617021276596}
{"db_id": "formula_1", "question": "What are the different names of all the races in reverse alphabetical order?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text)", "shrink-score": 0.9893617021276596}
{"db_id": "formula_1", "question": "What are the names of races held between 2009 and 2011?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text) , year (number)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "What are the names of all races held between 2009 and 2011?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text) , year (number)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "What are the names of races held after 12:00:00 or before 09:00:00?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text) , time (text)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "What are the names of all races that occurred after 12:00:00 or before 09:00:00?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "races : name (text) , time (text)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "What are the drivers' first, last names and id who had more than 8 pit stops or participated in more than 5 race results?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text) , surname (text) , driverid (number) | results : driverid (number) , resultid (number) | pitstops : driverid (number) , raceid (number)", "shrink-score": 0.925531914893617}
{"db_id": "formula_1", "question": "What are the drivers' first names,last names, and ids for all those that had more than 8 stops or participated in more than 5 races?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : forename (text) , surname (text) , driverid (number) | results : driverid (number) , resultid (number) | pitstops : driverid (number) , raceid (number)", "shrink-score": 0.925531914893617}
{"db_id": "formula_1", "question": "What are the drivers' last names and id who had 11 pit stops and participated in more than 5 race results?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : surname (text) , driverid (number) | results : driverid (number) , resultid (number) | pitstops : driverid (number) , raceid (number)", "shrink-score": 0.9361702127659575}
{"db_id": "formula_1", "question": "What are the last names and ids of all drivers who had 11 pit stops and participated in more than 5 races?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : surname (text) , driverid (number) | results : driverid (number) , resultid (number) | pitstops : driverid (number) , raceid (number)", "shrink-score": 0.9361702127659575}
{"db_id": "formula_1", "question": "What is the id and last name of the driver who participated in the most races after 2010?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) , surname (text) | results : driverid (number) , raceid (number) , resultid (number) | races : raceid (number) , year (number)", "shrink-score": 0.925531914893617}
{"db_id": "formula_1", "question": "What is the id and last name of the driver who participated in the most races after 2010?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) , surname (text) | results : driverid (number) , raceid (number) , resultid (number) | races : raceid (number) , year (number)", "shrink-score": 0.925531914893617}
{"db_id": "formula_1", "question": "What are the names of circuits that belong to UK or Malaysia?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "circuits : name (text) , country (text)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "What are the names of all the circuits that are in the UK or Malaysia?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "circuits : name (text) , country (text)", "shrink-score": 0.9787234042553191}
{"db_id": "formula_1", "question": "Find the id and location of circuits that belong to France or Belgium?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "circuits : circuitid (number) , location (text) , country (text)", "shrink-score": 0.9680851063829787}
{"db_id": "formula_1", "question": "What are the ids and locations of all circuits in France or Belgium?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "circuits : circuitid (number) , location (text) , country (text)", "shrink-score": 0.9680851063829787}
{"db_id": "formula_1", "question": "Find the names of Japanese constructors that have once earned more than 5 points?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "constructors : name (text) , constructorid (number) , nationality (text) | constructorstandings : constructorid (number) , points (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "What are the names of all the Japanese constructors that have earned more than 5 points?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "constructors : name (text) , constructorid (number) , nationality (text) | constructorstandings : constructorid (number) , points (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "What is the average fastest lap speed in race named 'Monaco Grand Prix' in 2008 ?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "results : fastestlapspeed (text) , raceid (number) | races : raceid (number) , year (number) , name (text)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "What is the average fastest lap speed for the Monaco Grand Prix in 2008?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "results : fastestlapspeed (text) , raceid (number) | races : raceid (number) , year (number) , name (text)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "What is the maximum fastest lap speed in race named 'Monaco Grand Prix' in 2008 ?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "results : fastestlapspeed (text) , raceid (number) | races : raceid (number) , year (number) , name (text)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "What is the maximum fastest lap speed in the Monaco Grand Prix in 2008?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "results : fastestlapspeed (text) , raceid (number) | races : raceid (number) , year (number) , name (text)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "What are the maximum fastest lap speed in races held after 2004 grouped by race name and ordered by year?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "results : fastestlapspeed (text) , raceid (number) | races : name (text) , year (number) , raceid (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "For each race name, What is the maximum fastest lap speed for races after 2004 ordered by year?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "results : fastestlapspeed (text) , raceid (number) | races : name (text) , year (number) , raceid (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "What are the average fastest lap speed in races held after 2004 grouped by race name and ordered by year?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "results : fastestlapspeed (text) , raceid (number) | races : name (text) , year (number) , raceid (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "What is the average fastest lap speed for races held after 2004, for each race, ordered by year?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "results : fastestlapspeed (text) , raceid (number) | races : name (text) , year (number) , raceid (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "Find the id, forename and number of races of all drivers who have at least participated in two races?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) , forename (text) | results : driverid (number) , raceid (number) , resultid (number) | races : raceid (number)", "shrink-score": 0.9361702127659575}
{"db_id": "formula_1", "question": "What is the id, forename, and number of races for all drivers that have participated in at least 2 races?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) , forename (text) | results : driverid (number) , raceid (number) , resultid (number) | races : raceid (number)", "shrink-score": 0.9361702127659575}
{"db_id": "formula_1", "question": "Find the driver id and number of races of all drivers who have at most participated in 30 races?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) | results : driverid (number) , raceid (number) , resultid (number) | races : raceid (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "For each id of a driver who participated in at most 30 races, how many races did they participate in?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) | results : driverid (number) , raceid (number) , resultid (number) | races : raceid (number)", "shrink-score": 0.9468085106382979}
{"db_id": "formula_1", "question": "Find the id and surname of the driver who participated the most number of races?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) , surname (text) | results : driverid (number) , raceid (number) , resultid (number) | races : raceid (number)", "shrink-score": 0.9361702127659575}
{"db_id": "formula_1", "question": "What are the ids and last names of all drivers who participated in the most races?", "schema": "circuits : circuitid (number) , circuitref (text) , name (text) , location (text) , country (text) , lat (number) , lng (number) , alt (number) , url (text) | races : raceid (number) , year (number) , round (number) , circuitid (number) , name (text) , date (text) , time (text) , url (text) | drivers : driverid (number) , driverref (text) , number (number) , code (text) , forename (text) , surname (text) , dob (text) , nationality (text) , url (text) | status : statusid (number) , status (text) | seasons : year (number) , url (text) | constructors : constructorid (number) , constructorref (text) , name (text) , nationality (text) , url (text) | constructorstandings : constructorstandingsid (number) , raceid (number) , constructorid (number) , points (number) , position (number) , positiontext (text) , wins (number) | results : resultid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , grid (number) , position (number) , positiontext (text) , positionorder (number) , points (number) , laps (number) , time (text) , milliseconds (number) , fastestlap (number) , rank (number) , fastestlaptime (text) , fastestlapspeed (text) , statusid (number) | driverstandings : driverstandingsid (number) , raceid (number) , driverid (number) , points (number) , position (number) , positiontext (text) , wins (number) | constructorresults : constructorresultsid (number) , raceid (number) , constructorid (number) , points (number) , status (number) | qualifying : qualifyid (number) , raceid (number) , driverid (number) , constructorid (number) , number (number) , position (number) , q1 (text) , q2 (text) , q3 (text) | pitstops : raceid (number) , driverid (number) , stop (number) , lap (number) , time (text) , duration (text) , milliseconds (number) | laptimes : raceid (number) , driverid (number) , lap (number) , position (number) , time (text) , milliseconds (number)", "summarized-schema": "drivers : driverid (number) , surname (text) | results : driverid (number) , raceid (number) , resultid (number) | races : raceid (number)", "shrink-score": 0.9361702127659575}
{"db_id": "machine_repair", "question": "How many technicians are there?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : technician_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "machine_repair", "question": "What is the number of technicians?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : technician_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "machine_repair", "question": "List the names of technicians in ascending order of age.", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , age (number)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "What are the names of the technicians by ascending order of age?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , age (number)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "What are the team and starting year of technicians?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : team (text) , starting_year (number)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "What is the team and starting year for each technician?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : team (text) , starting_year (number)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "List the name of technicians whose team is not \"NYY\".", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , team (text)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "What is the name of the technician whose team is not 'NYY'?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , team (text)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "Show the name of technicians aged either 36 or 37", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , age (number)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "What are the names of the technicians aged either 36 or 37?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , age (number)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "What is the starting year of the oldest technicians?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : starting_year (number) , age (number)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "What is the starting year for the oldest technician?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : starting_year (number) , age (number)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "Show different teams of technicians and the number of technicians in each team.", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : team (text) , technician_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "For each team, how many technicians are there?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : team (text) , technician_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "Please show the team that has the most number of technicians.", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : team (text) , technician_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "What are the teams with the most technicians?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : team (text) , technician_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "Show the team that have at least two technicians.", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : team (text) , technician_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "What is the team with at least 2 technicians?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : team (text) , technician_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "Show names of technicians and series of machines they are assigned to repair.", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , technician_id (number) | machine : machine_series (text) , machine_id (number) | repair_assignment : machine_id (number) , technician_id (number)", "shrink-score": 0.6842105263157895}
{"db_id": "machine_repair", "question": "What are the names of technicians and the machine series that they repair?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , technician_id (number) | machine : machine_series (text) , machine_id (number) | repair_assignment : machine_id (number) , technician_id (number)", "shrink-score": 0.6842105263157895}
{"db_id": "machine_repair", "question": "Show names of technicians in ascending order of quality rank of the machine they are assigned.", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , technician_id (number) | machine : machine_id (number) , quality_rank (number) | repair_assignment : machine_id (number) , technician_id (number)", "shrink-score": 0.6842105263157895}
{"db_id": "machine_repair", "question": "What are the names of the technicians by ascending order of quality rank for the machine they are assigned?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , technician_id (number) | machine : machine_id (number) , quality_rank (number) | repair_assignment : machine_id (number) , technician_id (number)", "shrink-score": 0.6842105263157895}
{"db_id": "machine_repair", "question": "Show names of technicians who are assigned to repair machines with value point more than 70.", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , technician_id (number) | machine : machine_id (number) , value_points (number) | repair_assignment : machine_id (number) , technician_id (number)", "shrink-score": 0.6842105263157895}
{"db_id": "machine_repair", "question": "What are the names of the technicians that are assigned to repair machines with more point values than 70?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , technician_id (number) | machine : machine_id (number) , value_points (number) | repair_assignment : machine_id (number) , technician_id (number)", "shrink-score": 0.6842105263157895}
{"db_id": "machine_repair", "question": "Show names of technicians and the number of machines they are assigned to repair.", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , technician_id (number) | repair_assignment : technician_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "machine_repair", "question": "What are the names of the technicians  and how many machines are they assigned to repair?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , technician_id (number) | repair_assignment : technician_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "machine_repair", "question": "List the names of technicians who have not been assigned to repair machines.", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , technician_id (number) | repair_assignment : technician_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "machine_repair", "question": "What are the names of the technicians that have not been assigned to repair machines?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : name (text) , technician_id (number) | repair_assignment : technician_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "machine_repair", "question": "Show the starting years shared by technicians from team \"CLE\" and \"CWS\".", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : starting_year (number) , team (text)", "shrink-score": 0.8947368421052632}
{"db_id": "machine_repair", "question": "What are the starting years shared by the technicians from the team \"CLE\" or \"CWS\"?", "schema": "repair : repair_id (number) , name (text) , launch_date (text) , notes (text) | machine : machine_id (number) , making_year (number) , class (text) , team (text) , machine_series (text) , value_points (number) , quality_rank (number) | technician : technician_id (number) , name (text) , team (text) , starting_year (number) , age (number) | repair_assignment : technician_id (number) , repair_id (number) , machine_id (number)", "summarized-schema": "technician : starting_year (number) , team (text)", "shrink-score": 0.8947368421052632}
{"db_id": "entrepreneur", "question": "How many entrepreneurs are there?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : entrepreneur_id (number)", "shrink-score": 0.9}
{"db_id": "entrepreneur", "question": "Count the number of entrepreneurs.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : entrepreneur_id (number)", "shrink-score": 0.9}
{"db_id": "entrepreneur", "question": "List the companies of entrepreneurs in descending order of money requested.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : company (text) , money_requested (number)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "What are the companies of entrepreneurs, ordered descending by amount of money requested?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : company (text) , money_requested (number)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "List the companies and the investors of entrepreneurs.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : company (text) , investor (text)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "What are the companies and investors that correspond to each entrepreneur?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : company (text) , investor (text)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "What is the average money requested by all entrepreneurs?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : money_requested (number)", "shrink-score": 0.9}
{"db_id": "entrepreneur", "question": "Return the average money requested across all entrepreneurs.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : money_requested (number)", "shrink-score": 0.9}
{"db_id": "entrepreneur", "question": "What are the names of people in ascending order of weight?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : name (text) , weight (number)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "Return the names of people, ordered by weight ascending.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : name (text) , weight (number)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "What are the names of entrepreneurs?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : name (text) , people_id (number) | entrepreneur : people_id (number)", "shrink-score": 0.7}
{"db_id": "entrepreneur", "question": "Return the names of entrepreneurs.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : name (text) , people_id (number) | entrepreneur : people_id (number)", "shrink-score": 0.7}
{"db_id": "entrepreneur", "question": "What are the names of entrepreneurs whose investor is not \"Rachel Elnaugh\"?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : name (text) , people_id (number) | entrepreneur : people_id (number) , investor (text)", "shrink-score": 0.6}
{"db_id": "entrepreneur", "question": "Return the names of entrepreneurs do no not have the investor Rachel Elnaugh.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : name (text) , people_id (number) | entrepreneur : people_id (number) , investor (text)", "shrink-score": 0.6}
{"db_id": "entrepreneur", "question": "What is the weight of the shortest person?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : weight (number) , height (number)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "Return the weight of the shortest person.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : weight (number) , height (number)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "What is the name of the entrepreneur with the greatest weight?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : name (text) , people_id (number) , weight (number) | entrepreneur : people_id (number)", "shrink-score": 0.6}
{"db_id": "entrepreneur", "question": "Return the name of the heaviest entrepreneur.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : name (text) , people_id (number) , weight (number) | entrepreneur : people_id (number)", "shrink-score": 0.6}
{"db_id": "entrepreneur", "question": "What is the total money requested by entrepreneurs with height more than 1.85?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : money_requested (number) , people_id (number) | people : people_id (number) , height (number)", "shrink-score": 0.6}
{"db_id": "entrepreneur", "question": "Give the total money requested by entrepreneurs who are taller than 1.85.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : money_requested (number) , people_id (number) | people : people_id (number) , height (number)", "shrink-score": 0.6}
{"db_id": "entrepreneur", "question": "What are the dates of birth of entrepreneurs with investor \"Simon Woodroffe\" or \"Peter Jones\"?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : date_of_birth (text) , people_id (number) | entrepreneur : people_id (number) , investor (text)", "shrink-score": 0.6}
{"db_id": "entrepreneur", "question": "Return the dates of birth for entrepreneurs who have either the investor Simon Woodroffe or Peter Jones.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : date_of_birth (text) , people_id (number) | entrepreneur : people_id (number) , investor (text)", "shrink-score": 0.6}
{"db_id": "entrepreneur", "question": "What are the weights of entrepreneurs in descending order of money requested?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : weight (number) , people_id (number) | entrepreneur : people_id (number) , money_requested (number)", "shrink-score": 0.6}
{"db_id": "entrepreneur", "question": "Return the weights of entrepreneurs, ordered descending by amount of money requested.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : weight (number) , people_id (number) | entrepreneur : people_id (number) , money_requested (number)", "shrink-score": 0.6}
{"db_id": "entrepreneur", "question": "What are the investors of entrepreneurs and the corresponding number of entrepreneurs invested by each investor?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : investor (text) , entrepreneur_id (number)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "How many entrepreneurs correspond to each investor?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : investor (text) , entrepreneur_id (number)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "What is the investor that has invested in the most number of entrepreneurs?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : investor (text) , entrepreneur_id (number)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "Return the investor who have invested in the greatest number of entrepreneurs.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : investor (text) , entrepreneur_id (number)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "What are the investors that have invested in at least two entrepreneurs?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : investor (text) , entrepreneur_id (number)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "Return the investors who have invested in two or more entrepreneurs.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : investor (text) , entrepreneur_id (number)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "List the names of entrepreneurs and their companies in descending order of money requested?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : name (text) , people_id (number) | entrepreneur : company (text) , people_id (number) , money_requested (number)", "shrink-score": 0.5}
{"db_id": "entrepreneur", "question": "What are the names of entrepreneurs and their corresponding investors, ordered descending by the amount of money requested?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : name (text) , people_id (number) | entrepreneur : company (text) , people_id (number) , money_requested (number)", "shrink-score": 0.5}
{"db_id": "entrepreneur", "question": "List the names of people that are not entrepreneurs.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : name (text) , people_id (number) | entrepreneur : people_id (number)", "shrink-score": 0.7}
{"db_id": "entrepreneur", "question": "What are the names of people who are not entrepreneurs?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "people : name (text) , people_id (number) | entrepreneur : people_id (number)", "shrink-score": 0.7}
{"db_id": "entrepreneur", "question": "Show the investors shared by entrepreneurs that requested more than 140000 and entrepreneurs that requested less than 120000.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : investor (text) , money_requested (number)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "What are the investors who have invested in both entrepreneurs who requested more than 140000 and entrepreneurs who requested less than 120000?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : investor (text) , money_requested (number)", "shrink-score": 0.8}
{"db_id": "entrepreneur", "question": "How many distinct companies are there?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : company (text)", "shrink-score": 0.9}
{"db_id": "entrepreneur", "question": "Count the number of different companies.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : company (text)", "shrink-score": 0.9}
{"db_id": "entrepreneur", "question": "Show the company of the tallest entrepreneur.", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : company (text) , people_id (number) | people : people_id (number) , height (number)", "shrink-score": 0.6}
{"db_id": "entrepreneur", "question": "Which company was started by the entrepreneur with the greatest height?", "schema": "entrepreneur : entrepreneur_id (number) , people_id (number) , company (text) , money_requested (number) , investor (text) | people : people_id (number) , name (text) , height (number) , weight (number) , date_of_birth (text)", "summarized-schema": "entrepreneur : company (text) , people_id (number) | people : people_id (number) , height (number)", "shrink-score": 0.6}
{"db_id": "perpetrator", "question": "How many perpetrators are there?", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "perpetrator : perpetrator_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "perpetrator", "question": "List the date of perpetrators in descending order of the number of people killed.", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "perpetrator : date (text) , killed (number)", "shrink-score": 0.8461538461538461}
{"db_id": "perpetrator", "question": "List the number of people injured by perpetrators in ascending order.", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "perpetrator : injured (number)", "shrink-score": 0.9230769230769231}
{"db_id": "perpetrator", "question": "What is the average number of people injured by all perpetrators?", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "perpetrator : injured (number)", "shrink-score": 0.9230769230769231}
{"db_id": "perpetrator", "question": "What is the location of the perpetrator with the largest kills.", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "perpetrator : location (text) , killed (number)", "shrink-score": 0.8461538461538461}
{"db_id": "perpetrator", "question": "What are the names of people in ascending order of height?", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "people : name (text) , height (number)", "shrink-score": 0.8461538461538461}
{"db_id": "perpetrator", "question": "What are the names of perpetrators?", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "people : name (text) , people_id (number) | perpetrator : people_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "perpetrator", "question": "What are the names of perpetrators whose country is not \"China\"?", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "people : name (text) , people_id (number) | perpetrator : people_id (number) , country (text)", "shrink-score": 0.6923076923076923}
{"db_id": "perpetrator", "question": "What is the name of the perpetrator with the biggest weight.", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "people : name (text) , people_id (number) , weight (number) | perpetrator : people_id (number)", "shrink-score": 0.6923076923076923}
{"db_id": "perpetrator", "question": "What is the total kills of the perpetrators with height more than 1.84.", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "perpetrator : killed (number) , people_id (number) | people : people_id (number) , height (number)", "shrink-score": 0.6923076923076923}
{"db_id": "perpetrator", "question": "What are the names of perpetrators in country \"China\" or \"Japan\"?", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "people : name (text) , people_id (number) | perpetrator : people_id (number) , country (text)", "shrink-score": 0.6923076923076923}
{"db_id": "perpetrator", "question": "What are the heights of perpetrators in descending order of the number of people they injured?", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "people : height (number) , people_id (number) | perpetrator : people_id (number) , injured (number)", "shrink-score": 0.6923076923076923}
{"db_id": "perpetrator", "question": "What are the countries of perpetrators? Show each country and the corresponding number of perpetrators there.", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "perpetrator : country (text) , perpetrator_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "perpetrator", "question": "What is the country that has the most perpetrators?", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "perpetrator : country (text) , perpetrator_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "perpetrator", "question": "What are the countries that have at least two perpetrators?", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "perpetrator : country (text) , perpetrator_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "perpetrator", "question": "List the names of perpetrators in descending order of the year.", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "people : name (text) , people_id (number) | perpetrator : people_id (number) , year (number)", "shrink-score": 0.6923076923076923}
{"db_id": "perpetrator", "question": "List the names of people that are not perpetrators.", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "people : name (text) , people_id (number) | perpetrator : people_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "perpetrator", "question": "Show the countries that have both perpetrators with injures more than 50 and perpetrators with injures smaller than 20.", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "perpetrator : country (text) , injured (number)", "shrink-score": 0.8461538461538461}
{"db_id": "perpetrator", "question": "How many distinct locations of perpetrators are there?", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "perpetrator : location (text)", "shrink-score": 0.9230769230769231}
{"db_id": "perpetrator", "question": "Show the date of the tallest perpetrator.", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "perpetrator : date (text) , people_id (number) | people : people_id (number) , height (number)", "shrink-score": 0.6923076923076923}
{"db_id": "perpetrator", "question": "In which year did the most recent crime happen?", "schema": "perpetrator : perpetrator_id (number) , people_id (number) , date (text) , year (number) , location (text) , country (text) , killed (number) , injured (number) | people : people_id (number) , name (text) , height (number) , weight (number) , home town", "summarized-schema": "perpetrator : year (number)", "shrink-score": 0.9230769230769231}
{"db_id": "csu_1", "question": "Report the name of all campuses in Los Angeles county.", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , county (text)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "What campuses are located in the county of Los Angeles?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , county (text)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "What are the names of all campuses located at Chico?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , location (text)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "What campuses are located in Chico?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , location (text)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "Find all the campuses opened in 1958.", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "What are the campuses that opened in 1958?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "Find the name of the campuses opened before 1800.", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "What campuses opened before 1800?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "Which campus was opened between 1935 and 1939?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "What campuses opened between 1935 and 1939?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "Find the name of the campuses that is in Northridge, Los Angeles or in San Francisco, San Francisco.", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , location (text) , county (text)", "shrink-score": 0.8695652173913043}
{"db_id": "csu_1", "question": "What campuses are located in Northridge, Los Angeles or in San Francisco, San Francisco?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , location (text) , county (text)", "shrink-score": 0.8695652173913043}
{"db_id": "csu_1", "question": "What is the campus fee of \"San Jose State University\" in year 1996?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , campus (number) , year (number) | campuses : id (number) , campus (text) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "What is the campus fee for San Jose State University in 1996?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , campus (number) , year (number) | campuses : id (number) , campus (text) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "What is the campus fee of \"San Francisco State University\" in year 1996?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , campus (number) , year (number) | campuses : id (number) , campus (text) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "What is the campus fee for San Francisco State University in 1996?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , campus (number) , year (number) | campuses : id (number) , campus (text) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "Find the count of universities whose campus fee is greater than the average campus fee.", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , campus (text)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "How many universities have a campus fee higher than average?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , campus (text)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "Find the count of universities whose campus fee is greater than the average campus fee.", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , campus (text)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "How many universities have a campus fee greater than the average?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , campus (text)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "Which university is in Los Angeles county and opened after 1950?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , county (text) , year (number)", "shrink-score": 0.8695652173913043}
{"db_id": "csu_1", "question": "What campuses are located in Los Angeles county and opened after 1950?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , county (text) , year (number)", "shrink-score": 0.8695652173913043}
{"db_id": "csu_1", "question": "Which year has the most degrees conferred?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "degrees : year (number) , degrees (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "In what year was the most degrees conferred?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "degrees : year (number) , degrees (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "Which campus has the most degrees conferred in all times?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "degrees : campus (number) , degrees (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "What campus has the most degrees  conferrred over its entire existence?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "degrees : campus (number) , degrees (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "Which campus has the most faculties in year 2003?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , id (number) , year (number) | faculty : campus (number) , faculty (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "What campus has the most faculties in 2003?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , id (number) , year (number) | faculty : campus (number) , faculty (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "Find the average fee on a CSU campus in 1996", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "What is the average fee for a CSU campus in the year of 1996?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "What is the average fee on a CSU campus in 2005?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "What is the average fee for a CSU campus in the year of 2005?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "report the total number of degrees granted between 1998 and 2002.", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , id (number) , year (number) | degrees : campus (number) , degrees (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "how many degrees were conferred between 1998 and 2002?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , id (number) , year (number) | degrees : campus (number) , degrees (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "For each Orange county campus, report the number of degrees granted after 2000.", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , id (number) , county (text) , year (number) | degrees : campus (number) , degrees (number) , year (number)", "shrink-score": 0.6956521739130435}
{"db_id": "csu_1", "question": "What is the total number of degrees granted after 2000 for each Orange county campus?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , id (number) , county (text) , year (number) | degrees : campus (number) , degrees (number) , year (number)", "shrink-score": 0.6956521739130435}
{"db_id": "csu_1", "question": "Find the names of the campus which has more faculties in 2002 than every campus in Orange county.", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , id (number) , year (number) , county (text) | faculty : campus (number) , faculty (number) , year (number)", "shrink-score": 0.6956521739130435}
{"db_id": "csu_1", "question": "What are the names of the campus that have more faculties in 2002 than the maximum number in Orange county?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , id (number) , year (number) , county (text) | faculty : campus (number) , faculty (number) , year (number)", "shrink-score": 0.6956521739130435}
{"db_id": "csu_1", "question": "What campus had more than 400 total enrollment but more than 200 full time enrollment in year 1956?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , id (number) , year (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number)", "shrink-score": 0.6956521739130435}
{"db_id": "csu_1", "question": "What campus started in year 1956, has more than 200 full time students, and more than 400 students enrolled?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , id (number) , year (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number)", "shrink-score": 0.6956521739130435}
{"db_id": "csu_1", "question": "How many campuses are there in Los Angeles county?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : county (text) , id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "How many campuses exist are in the county of LA?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : county (text) , id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "List the campuses in Los Angeles county.", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , county (text)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "What campuses are in Los Angeles county?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , county (text)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "How many degrees were conferred in \"San Jose State University\" in 2000?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "degrees : degrees (number) , campus (number) , year (number) | campuses : id (number) , campus (text) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "How many degrees were conferred at San Jose State University in 2000?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "degrees : degrees (number) , campus (number) , year (number) | campuses : id (number) , campus (text) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "What are the degrees conferred in \"San Francisco State University\" in 2001.", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "degrees : degrees (number) , campus (number) , year (number) | campuses : id (number) , campus (text) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "What degrees were conferred in San Francisco State University in the year 2001?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "degrees : degrees (number) , campus (number) , year (number) | campuses : id (number) , campus (text) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "How many faculty is there in total in the year of 2002?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "faculty : faculty (number) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "How many faculty, in total, are there in the year 2002?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "faculty : faculty (number) , year (number)", "shrink-score": 0.9130434782608695}
{"db_id": "csu_1", "question": "What is the number of faculty lines in campus \"Long Beach State University\" in 2002?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "faculty : faculty (number) , campus (number) , year (number) | campuses : campus (text) , id (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "What is the number of faculty at Long Beach State University in 2002?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "faculty : faculty (number) , campus (number) , year (number) | campuses : campus (text) , id (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "How many faculty lines are there in \"San Francisco State University\" in year 2004?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "faculty : faculty (number) , campus (number) , year (number) | campuses : campus (text) , id (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "How many faculty lines are there at San Francisco State University in 2004?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "faculty : faculty (number) , campus (number) , year (number) | campuses : campus (text) , id (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "List the campus that have between 600 and 1000 faculty lines in year 2004.", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , id (number) , year (number) | faculty : campus (number) , faculty (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "What are the campuses that had between 600 and 1000 faculty members in 2004?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : campus (text) , id (number) , year (number) | faculty : campus (number) , faculty (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "How many faculty lines are there in the university that conferred the most number of degrees in year 2002?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "faculty : faculty (number) , campus (number) , year (number) | campuses : id (number) , campus (text) , year (number) | degrees : campus (number) , degrees (number) , year (number)", "shrink-score": 0.6086956521739131}
{"db_id": "csu_1", "question": "How many faculty members did the university that conferred the most degrees in 2002 have?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "faculty : faculty (number) , campus (number) , year (number) | campuses : id (number) , campus (text) , year (number) | degrees : campus (number) , degrees (number) , year (number)", "shrink-score": 0.6086956521739131}
{"db_id": "csu_1", "question": "How many faculty lines are there in the university that conferred the least number of degrees in year 2001?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "faculty : faculty (number) , campus (number) , year (number) | campuses : id (number) , campus (text) , year (number) | degrees : campus (number) , degrees (number) , year (number)", "shrink-score": 0.6086956521739131}
{"db_id": "csu_1", "question": "How many faculty members are at the university that gave the least number of degrees in 2001?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "faculty : faculty (number) , campus (number) , year (number) | campuses : id (number) , campus (text) , year (number) | degrees : campus (number) , degrees (number) , year (number)", "shrink-score": 0.6086956521739131}
{"db_id": "csu_1", "question": "How many undergraduates are there in \"San Jose State University\" in year 2004?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "discipline_enrollments : undergraduate (number) , campus (number) , year (number) | campuses : campus (text) , id (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "How many undergraduates are there at San Jose State", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "discipline_enrollments : undergraduate (number) , campus (number) , year (number) | campuses : campus (text) , id (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "What is the number of graduates in \"San Francisco State University\" in year 2004?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "discipline_enrollments : graduate (number) , campus (number) , year (number) | campuses : campus (text) , id (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "How many people graduated from San Francisco State University in 2004?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "discipline_enrollments : graduate (number) , campus (number) , year (number) | campuses : campus (text) , id (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "What is the campus fee of \"San Francisco State University\" in year 2000?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , campus (number) , year (number) | campuses : campus (text) , id (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "In the year 2000, what is the campus fee for San Francisco State University?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , campus (number) , year (number) | campuses : campus (text) , id (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "Find the campus fee of \"San Jose State University\" in year 2000.", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , campus (number) , year (number) | campuses : campus (text) , id (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "What is the campus fee in the year 2000 for San Jose State University?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "csu_fees : campusfee (number) , campus (number) , year (number) | campuses : campus (text) , id (number) , year (number)", "shrink-score": 0.7391304347826086}
{"db_id": "csu_1", "question": "How many CSU campuses are there?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : id (number)", "shrink-score": 0.9565217391304348}
{"db_id": "csu_1", "question": "What is the total number of campuses?", "schema": "campuses : id (number) , campus (text) , location (text) , county (text) , year (number) | csu_fees : campus (number) , year (number) , campusfee (number) | degrees : year (number) , campus (number) , degrees (number) | discipline_enrollments : campus (number) , discipline (number) , year (number) , undergraduate (number) , graduate (number) | enrollments : campus (number) , year (number) , totalenrollment_ay (number) , fte_ay (number) | faculty : campus (number) , year (number) , faculty (number)", "summarized-schema": "campuses : id (number)", "shrink-score": 0.9565217391304348}
{"db_id": "candidate_poll", "question": "How many candidates are there?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "candidate : candidate_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "candidate_poll", "question": "Count the number of candidates.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "candidate : candidate_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "candidate_poll", "question": "Which poll resource provided the most number of candidate information?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "candidate : poll_source (text) , candidate_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "candidate_poll", "question": "Return the poll resource associated with the most candidates.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "candidate : poll_source (text) , candidate_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "candidate_poll", "question": "what are the top 3 highest support rates?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "candidate : support_rate (number)", "shrink-score": 0.9285714285714286}
{"db_id": "candidate_poll", "question": "Return the top 3 greatest support rates.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "candidate : support_rate (number)", "shrink-score": 0.9285714285714286}
{"db_id": "candidate_poll", "question": "Find the id of the candidate who got the lowest oppose rate.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "candidate : candidate_id (number) , oppose_rate (number)", "shrink-score": 0.8571428571428571}
{"db_id": "candidate_poll", "question": "What is the id of the candidate with the lowest oppose rate?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "candidate : candidate_id (number) , oppose_rate (number)", "shrink-score": 0.8571428571428571}
{"db_id": "candidate_poll", "question": "Please list support, consider, and oppose rates for each candidate in ascending order by unsure rate.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "candidate : support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number)", "shrink-score": 0.7142857142857143}
{"db_id": "candidate_poll", "question": "What are the support, consider, and oppose rates of each candidate, ordered ascending by their unsure rate?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "candidate : support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number)", "shrink-score": 0.7142857142857143}
{"db_id": "candidate_poll", "question": "which poll source does the highest oppose rate come from?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "candidate : poll_source (text) , oppose_rate (number)", "shrink-score": 0.8571428571428571}
{"db_id": "candidate_poll", "question": "Return the poll source corresponding to the candidate who has the oppose rate.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "candidate : poll_source (text) , oppose_rate (number)", "shrink-score": 0.8571428571428571}
{"db_id": "candidate_poll", "question": "List all people names in the order of their date of birth from old to young.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , date_of_birth (text)", "shrink-score": 0.8571428571428571}
{"db_id": "candidate_poll", "question": "What are the names of all people, ordered by their date of birth?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , date_of_birth (text)", "shrink-score": 0.8571428571428571}
{"db_id": "candidate_poll", "question": "Find the average height and weight for all males (sex is M).", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : height (number) , weight (number) , sex (text)", "shrink-score": 0.7857142857142857}
{"db_id": "candidate_poll", "question": "What are the average height and weight across males (sex is M)?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : height (number) , weight (number) , sex (text)", "shrink-score": 0.7857142857142857}
{"db_id": "candidate_poll", "question": "find the names of people who are taller than 200 or lower than 190.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , height (number)", "shrink-score": 0.8571428571428571}
{"db_id": "candidate_poll", "question": "What are the names of people who have a height greater than 200 or less than 190?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , height (number)", "shrink-score": 0.8571428571428571}
{"db_id": "candidate_poll", "question": "Find the average and minimum weight for each gender.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : weight (number) , sex (text)", "shrink-score": 0.8571428571428571}
{"db_id": "candidate_poll", "question": "What are the average and minimum weights for people of each sex?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : weight (number) , sex (text)", "shrink-score": 0.8571428571428571}
{"db_id": "candidate_poll", "question": "Find the name and gender of the candidate who got the highest support rate.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , sex (text) , people_id (number) | candidate : people_id (number) , support_rate (number)", "shrink-score": 0.6428571428571429}
{"db_id": "candidate_poll", "question": "What is the name and sex of the candidate with the highest support rate?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , sex (text) , people_id (number) | candidate : people_id (number) , support_rate (number)", "shrink-score": 0.6428571428571429}
{"db_id": "candidate_poll", "question": "Find the name of the candidates whose oppose percentage is the lowest for each sex.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , sex (text) , people_id (number) | candidate : oppose_rate (number) , people_id (number)", "shrink-score": 0.6428571428571429}
{"db_id": "candidate_poll", "question": "For each sex, what is the name and sex of the candidate with the oppose rate for their sex?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , sex (text) , people_id (number) | candidate : oppose_rate (number) , people_id (number)", "shrink-score": 0.6428571428571429}
{"db_id": "candidate_poll", "question": "which gender got the highest average uncertain ratio.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : sex (text) , people_id (number) | candidate : people_id (number) , unsure_rate (number)", "shrink-score": 0.7142857142857143}
{"db_id": "candidate_poll", "question": "What is the sex of the candidate who had the highest unsure rate?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : sex (text) , people_id (number) | candidate : people_id (number) , unsure_rate (number)", "shrink-score": 0.7142857142857143}
{"db_id": "candidate_poll", "question": "what are the names of people who did not participate in the candidate election.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , people_id (number) | candidate : people_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "candidate_poll", "question": "Give the names of people who did not participate in the candidate election.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , people_id (number) | candidate : people_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "candidate_poll", "question": "Find the names of the candidates whose support percentage is lower than their oppose rate.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , people_id (number) | candidate : people_id (number) , support_rate (number) , oppose_rate (number)", "shrink-score": 0.6428571428571429}
{"db_id": "candidate_poll", "question": "What are the names of candidates who have a lower support rate than oppose rate?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , people_id (number) | candidate : people_id (number) , support_rate (number) , oppose_rate (number)", "shrink-score": 0.6428571428571429}
{"db_id": "candidate_poll", "question": "how many people are there whose weight is higher than 85 for each gender?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : sex (text) , weight (number) , people_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "candidate_poll", "question": "Count the number of people of each sex who have a weight higher than 85.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : sex (text) , weight (number) , people_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "candidate_poll", "question": "find the highest support percentage, lowest consider rate and oppose rate of all candidates.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "candidate : support_rate (number) , consider_rate (number) , oppose_rate (number)", "shrink-score": 0.7857142857142857}
{"db_id": "candidate_poll", "question": "Return the maximum support rate, minimum consider rate, and minimum oppose rate across all candidates?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "candidate : support_rate (number) , consider_rate (number) , oppose_rate (number)", "shrink-score": 0.7857142857142857}
{"db_id": "candidate_poll", "question": "list all female (sex is F) candidate names in the alphabetical order.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , people_id (number) , sex (text) | candidate : people_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "candidate_poll", "question": "What are the names of all female candidates in alphabetical order (sex is F)?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , people_id (number) , sex (text) | candidate : people_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "candidate_poll", "question": "find the name of people whose height is lower than the average.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , height (number)", "shrink-score": 0.8571428571428571}
{"db_id": "candidate_poll", "question": "What are the names of people who are shorter than average?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : name (text) , height (number)", "shrink-score": 0.8571428571428571}
{"db_id": "candidate_poll", "question": "List all info about all people.", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : people_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "candidate_poll", "question": "What is all the information about all people?", "schema": "candidate : candidate_id (number) , people_id (number) , poll_source (text) , date (text) , support_rate (number) , consider_rate (number) , oppose_rate (number) , unsure_rate (number) | people : people_id (number) , sex (text) , name (text) , date_of_birth (text) , height (number) , weight (number)", "summarized-schema": "people : people_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "movie_1", "question": "Find the titles of all movies directed by steven spielberg.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , director (text)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "What are the names of all movies directed by Steven Spielberg?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , director (text)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "What is the name of the movie produced after 2000 and directed by James Cameron?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , director (text) , year (number)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "What are the titles of all movies that James Cameron directed after 2000?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , director (text) , year (number)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "How many movies were made before 2000?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : year (number) , mid (number)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "How many movies were made before 2000?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : year (number) , mid (number)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "Who is the director of movie Avatar?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : director (text) , title (text)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "Who directed Avatar?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : director (text) , title (text)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "How many reviewers listed?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : rid (number)", "shrink-score": 0.9}
{"db_id": "movie_1", "question": "How many reviewers are there?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : rid (number)", "shrink-score": 0.9}
{"db_id": "movie_1", "question": "What is the id of the reviewer whose name has substring \u201cMike\u201d?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : rid (number) , name (text)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "What is the id of the reviewer whose name includes the word \"Mike\"?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : rid (number) , name (text)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "What is the reviewer id of Daniel Lewis?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : rid (number) , name (text)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "What is the id of the reviewer named Daniel Lewis?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : rid (number) , name (text)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "What is the total number of ratings that has more than 3 stars?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : stars (number)", "shrink-score": 0.9}
{"db_id": "movie_1", "question": "How many movie ratings have more than 3 stars?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : stars (number)", "shrink-score": 0.9}
{"db_id": "movie_1", "question": "What is the lowest and highest rating star?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : stars (number)", "shrink-score": 0.9}
{"db_id": "movie_1", "question": "What is the maximum and mininum number of stars a rating can receive?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : stars (number)", "shrink-score": 0.9}
{"db_id": "movie_1", "question": "Find all years that have a movie that received a rating of 4 or 5, and sort them in increasing order of year.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : year (number) , mid (number) | rating : mid (number) , stars (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "In what years did a movie receive a 4 or 5 star rating, and list the years from oldest to most recently?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : year (number) , mid (number) | rating : mid (number) , stars (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What are the names of directors who directed movies with 5 star rating? Also return the title of these movies.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : director (text) , title (text) , mid (number) | rating : mid (number) , stars (number)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "What are the names of the directors who created a movie with a 5 star rating, and what was the name of those movies?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : director (text) , title (text) , mid (number) | rating : mid (number) , stars (number)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "What is the average rating star for each reviewer?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | rating : stars (number) , rid (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What is the average number of stars that each reviewer awards for a movie?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | rating : stars (number) , rid (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "Find the titles of all movies that have no ratings.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : mid (number)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "What are the titles of all movies that have not been rated?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : mid (number)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "Find the names of all reviewers who have ratings with a NULL value for the date.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | rating : rid (number) , ratingdate (time)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What are the different names of all reviewers whose ratings do not have a date field?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | rating : rid (number) , ratingdate (time)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What is the average rating stars and title for the oldest movie?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : stars (number) , mid (number) | movie : title (text) , mid (number) , year (number)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "For the oldest movie listed, what is its average rating and title?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : stars (number) , mid (number) | movie : title (text) , mid (number) , year (number)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "What is the name of the most recent movie?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , year (number)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "What is the title of the newest movie?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , year (number)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "What is the maximum stars and year for the most recent movie?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : stars (number) , mid (number) | movie : year (number) , mid (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What is highest rating for the most recent movie and when was it released?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : stars (number) , mid (number) | movie : year (number) , mid (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What is the names of movies whose created year is after all movies directed by Steven Spielberg?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , year (number) , director (text)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "What are the names of all movies that were created after the most recent Steven Spielberg film?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , year (number) , director (text)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "What are the titles and directors of the movies whose star is greater than the average stars of the movies directed by James Cameron?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , director (text) , mid (number) | rating : mid (number) , stars (number)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "What are the titles and directors of all movies that have a rating higher than the average James Cameron film rating?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , director (text) , mid (number) | rating : mid (number) , stars (number)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "Return reviewer name, movie title, stars, and ratingDate. And sort the data first by reviewer name, then by movie title, and lastly by number of stars.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | movie : title (text) , mid (number) | rating : stars (number) , ratingdate (time) , mid (number) , rid (number)", "shrink-score": 0.2}
{"db_id": "movie_1", "question": "What is the reviewer name, film title, movie rating, and rating date  for every movie ordered by reviewer name, movie title, then finally rating?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | movie : title (text) , mid (number) | rating : stars (number) , ratingdate (time) , mid (number) , rid (number)", "shrink-score": 0.2}
{"db_id": "movie_1", "question": "Find the names of all reviewers who have contributed three or more ratings.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | rating : rid (number)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "What are the names of all reviewers that have rated 3 or more movies?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | rating : rid (number)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "Find the names of all reviewers who rated Gone with the Wind.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | movie : mid (number) , title (text) | rating : mid (number) , rid (number)", "shrink-score": 0.4}
{"db_id": "movie_1", "question": "What are the names of all the different reviewers who rates Gone with the Wind?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | movie : mid (number) , title (text) | rating : mid (number) , rid (number)", "shrink-score": 0.4}
{"db_id": "movie_1", "question": "Find the names of all directors whose movies are rated by Sarah Martinez.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : director (text) , mid (number) | rating : mid (number) , rid (number) | reviewer : rid (number) , name (text)", "shrink-score": 0.4}
{"db_id": "movie_1", "question": "What are the names of all directors whose movies have been reviewed by Sarah Martinez?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : director (text) , mid (number) | rating : mid (number) , rid (number) | reviewer : rid (number) , name (text)", "shrink-score": 0.4}
{"db_id": "movie_1", "question": "For any rating where the name of reviewer is the same as the director of the movie, return the reviewer name, movie title, and number of stars.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | movie : title (text) , mid (number) , director (text) | rating : stars (number) , mid (number) , rid (number)", "shrink-score": 0.2}
{"db_id": "movie_1", "question": "What are the different reviewer names, movie titles, and stars for every rating where the reviewer had the same name as the director?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | movie : title (text) , mid (number) , director (text) | rating : stars (number) , mid (number) , rid (number)", "shrink-score": 0.2}
{"db_id": "movie_1", "question": "Return all reviewer names and movie names together in a single list.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) | movie : title (text)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "What are the names of all the reviewers and movie names?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) | movie : title (text)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "Find the titles of all movies not reviewed by Chris Jackson.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : mid (number) , rid (number) | reviewer : rid (number) , name (text)", "shrink-score": 0.4}
{"db_id": "movie_1", "question": "What are the titles of all movies that were not reviewed by Chris Jackson?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : mid (number) , rid (number) | reviewer : rid (number) , name (text)", "shrink-score": 0.4}
{"db_id": "movie_1", "question": "For all directors who directed more than one movie, return the titles of all movies directed by them, along with the director name. Sort by director name, then movie title.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , director (text)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "For all directors who have directed more than one movie, what movies have they directed and what are their names?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , director (text)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "For directors who had more than one movie, return the titles and produced years of all movies directed by them.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , year (number) , director (text)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "For each director who directed more than one movie, what are the titles and dates of release for all those movies?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , year (number) , director (text)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "What are the names of the directors who made exactly one movie?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : director (text) , mid (number)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "What are the names of all directors who made one movie?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : director (text) , mid (number)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "What are the names of the directors who made exactly one movie excluding director NULL?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : director (text) , mid (number)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "What are the names of all directors who have made one movie except for the director named NULL?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : director (text) , mid (number)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "How many movie reviews does each director get?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : director (text) , mid (number) | rating : mid (number)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "For each director, how many reviews have they received?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : director (text) , mid (number) | rating : mid (number)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "Find the movies with the highest average rating. Return the movie titles and average rating.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : stars (number) , mid (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What are the movie titles with the highest average rating and what are those ratings?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : stars (number) , mid (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What are the movie titles and average rating of the movies with the lowest average rating?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : stars (number) , mid (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What are the titles and average ratings for all movies that have the lowest average rating?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : stars (number) , mid (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What are the names and years of the movies that has the top 3 highest rating star?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , year (number) , mid (number) | rating : mid (number) , stars (number)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "What are the names and years released for the movies with the top 3 highest ratings?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , year (number) , mid (number) | rating : mid (number) , stars (number)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "For each director, return the director's name together with the title of the movie they directed that received the highest rating among all of their movies, and the value of that rating. Ignore movies whose director is NULL.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , director (text) , mid (number) | rating : stars (number) , mid (number)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "For each director, what are the titles and ratings for all the movies they reviewed?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , director (text) , mid (number) | rating : stars (number) , mid (number)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "Find the title and star rating of the movie that got the least rating star for each reviewer.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : rid (number) , stars (number) , mid (number)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "For each reviewer id, what is the title and rating for the movie with the smallest rating?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : rid (number) , stars (number) , mid (number)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "Find the title and score of the movie with the lowest rating among all movies directed by each director.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , director (text) , mid (number) | rating : stars (number) , mid (number)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "For each director, what is the title and score of their most poorly rated movie?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , director (text) , mid (number) | rating : stars (number) , mid (number)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "What is the name of the movie that is rated by most of times?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : mid (number)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "What is the name of the movie that has been reviewed the most?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : mid (number)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "What are the titles of all movies that have rating star is between 3 and 5?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : mid (number) , stars (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What are the titles of all movies that have between 3 and 5 stars?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : mid (number) , stars (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "Find the names of reviewers who had given higher than 3 star ratings.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | rating : rid (number) , stars (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What are the names of the reviewers who have rated a movie more than 3 stars before?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | rating : rid (number) , stars (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "Find the average rating star for each movie that are not reviewed by Brittany Harris.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : mid (number) , stars (number) , rid (number) | reviewer : rid (number) , name (text)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "What is the average rating for each movie that has never been reviewed by Brittany Harris?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : mid (number) , stars (number) , rid (number) | reviewer : rid (number) , name (text)", "shrink-score": 0.5}
{"db_id": "movie_1", "question": "What are the ids of the movies that are not reviewed by Brittany Harris.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : mid (number) , rid (number) | reviewer : rid (number) , name (text)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What are the ids of all moviest hat have not been reviewed by Britanny Harris?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : mid (number) , rid (number) | reviewer : rid (number) , name (text)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "Find the average rating star for each movie that received at least 2 ratings.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : mid (number) , stars (number)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "For each movie that received more than 3 reviews, what is the average rating?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : mid (number) , stars (number)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "find the ids of reviewers who did not give 4 star.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : rid (number) , stars (number)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "What are the ids of all reviewers who did not give 4 stars?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : rid (number) , stars (number)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "Find the ids of reviewers who didn't only give 4 star.", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : rid (number) , stars (number)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "What are the ids of all reviewers who have not given 4 stars at least once?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "rating : rid (number) , stars (number)", "shrink-score": 0.8}
{"db_id": "movie_1", "question": "What are names of the movies that are either made after 2000 or reviewed by Brittany Harris?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) , year (number) | rating : mid (number) , rid (number) | reviewer : rid (number) , name (text)", "shrink-score": 0.3}
{"db_id": "movie_1", "question": "What are the names of all movies that were made after 2000 or reviewed by Brittany Harris?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) , year (number) | rating : mid (number) , rid (number) | reviewer : rid (number) , name (text)", "shrink-score": 0.3}
{"db_id": "movie_1", "question": "What are names of the movies that are either made before 1980 or directed by James Cameron?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , director (text) , year (number)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "What are the names of all movies made before 1980 or had James Cameron as the director?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , director (text) , year (number)", "shrink-score": 0.7}
{"db_id": "movie_1", "question": "What are the names of reviewers who had rated 3 star and 4 star?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | rating : rid (number) , stars (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What are the names of all reviewers that have given 3 or 4 stars for reviews?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "reviewer : name (text) , rid (number) | rating : rid (number) , stars (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What are the names of movies that get 3 star and 4 star?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : mid (number) , stars (number)", "shrink-score": 0.6}
{"db_id": "movie_1", "question": "What are the names of all movies that received 3 or 4 stars?", "schema": "movie : mid (number) , title (text) , year (number) , director (text) | reviewer : rid (number) , name (text) | rating : rid (number) , mid (number) , stars (number) , ratingdate (time)", "summarized-schema": "movie : title (text) , mid (number) | rating : mid (number) , stars (number)", "shrink-score": 0.6}
{"db_id": "county_public_safety", "question": "How many counties are there?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : county_id (number)", "shrink-score": 0.9444444444444444}
{"db_id": "county_public_safety", "question": "Count the number of countries.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : county_id (number)", "shrink-score": 0.9444444444444444}
{"db_id": "county_public_safety", "question": "List the names of counties in descending order of population.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : name (text) , population (number)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "What are the names of the counties of public safety, ordered by population descending?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : name (text) , population (number)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "List the distinct police forces of counties whose location is not on east side.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : police_force (text) , location (text)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "What are the different police forces of counties that are not located in the East?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : police_force (text) , location (text)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "What are the minimum and maximum crime rate of counties?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : crime_rate (number)", "shrink-score": 0.9444444444444444}
{"db_id": "county_public_safety", "question": "Return the minimum and maximum crime rates across all counties.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : crime_rate (number)", "shrink-score": 0.9444444444444444}
{"db_id": "county_public_safety", "question": "Show the crime rates of counties in ascending order of number of police officers.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : crime_rate (number) , police_officers (number)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "What are the crime rates of counties sorted by number of offices ascending?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : crime_rate (number) , police_officers (number)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "What are the names of cities in ascending alphabetical order?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "city : name (text)", "shrink-score": 0.9444444444444444}
{"db_id": "county_public_safety", "question": "Return the names of cities, ordered alphabetically.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "city : name (text)", "shrink-score": 0.9444444444444444}
{"db_id": "county_public_safety", "question": "What are the percentage of hispanics in cities with the black percentage higher than 10?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "city : hispanic (number) , black (number)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "Return the hispanic percentage for cities in which the black percentage is greater than 10.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "city : hispanic (number) , black (number)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "List the name of the county with the largest population.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : name (text) , population (number)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "What is the name of the county with the greatest population?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : name (text) , population (number)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "List the names of the city with the top 5 white percentages.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "city : name (text) , white (number)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "What are the names of the five cities with the greatest proportion of white people?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "city : name (text) , white (number)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "Show names of cities and names of counties they are in.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : name (text) , county_id (number) | city : name (text) , county_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "county_public_safety", "question": "What are the names of cities, as well as the names of the counties they correspond to?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : name (text) , county_id (number) | city : name (text) , county_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "county_public_safety", "question": "Show white percentages of cities and the crime rates of counties they are in.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "city : white (number) , county_id (number) | county_public_safety : crime_rate (number) , county_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "county_public_safety", "question": "What are the white percentages of cities, and the corresponding crime rates of the counties they correspond to?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "city : white (number) , county_id (number) | county_public_safety : crime_rate (number) , county_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "county_public_safety", "question": "Show the name of cities in the county that has the largest number of police officers.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : name (text) , county_id (number) , police_officers (number) | city : name (text) , county_id (number)", "shrink-score": 0.7222222222222222}
{"db_id": "county_public_safety", "question": "What are the names of cities that are in the county with the most police officers?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : name (text) , county_id (number) , police_officers (number) | city : name (text) , county_id (number)", "shrink-score": 0.7222222222222222}
{"db_id": "county_public_safety", "question": "Show the number of cities in counties that have a population more than 20000.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : county_id (number) , population (number) | city : county_id (number) , city_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "county_public_safety", "question": "How many cities are in counties that have populations of over 20000?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : county_id (number) , population (number) | city : county_id (number) , city_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "county_public_safety", "question": "Show the crime rate of counties with a city having white percentage more than 90.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : crime_rate (number) , county_id (number) | city : county_id (number) , white (number)", "shrink-score": 0.7777777777777778}
{"db_id": "county_public_safety", "question": "What are the crime rates of counties that contain cities that have white percentages of over 90?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : crime_rate (number) , county_id (number) | city : county_id (number) , white (number)", "shrink-score": 0.7777777777777778}
{"db_id": "county_public_safety", "question": "Please show the police forces and the number of counties with each police force.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : police_force (text) , county_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "How many counties correspond to each police force?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : police_force (text) , county_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "What is the location shared by most counties?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : location (text) , county_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "Which location has the most corresponding counties?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : location (text) , county_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "List the names of counties that do not have any cities.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : name (text) , county_id (number) | city : name (text) , county_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "county_public_safety", "question": "What are the names of counties that do not contain any cities?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : name (text) , county_id (number) | city : name (text) , county_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "county_public_safety", "question": "Show the police force shared by counties with location on the east and west.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : police_force (text) , location (text)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "Which police forces operate in both counties that are located in the East and in the West?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : police_force (text) , location (text)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "Show the names of cities in counties that have a crime rate less than 100.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : name (text) , county_id (number) , crime_rate (number) | city : name (text) , county_id (number)", "shrink-score": 0.7222222222222222}
{"db_id": "county_public_safety", "question": "What are the names of cities that are in counties that have a crime rate below 100?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : name (text) , county_id (number) , crime_rate (number) | city : name (text) , county_id (number)", "shrink-score": 0.7222222222222222}
{"db_id": "county_public_safety", "question": "Show the case burden of counties in descending order of population.", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : case_burden (number) , population (number)", "shrink-score": 0.8888888888888888}
{"db_id": "county_public_safety", "question": "What are the case burdens of counties, ordered descending by population?", "schema": "county_public_safety : county_id (number) , name (text) , population (number) , police_officers (number) , residents_per_officer (number) , case_burden (number) , crime_rate (number) , police_force (text) , location (text) | city : city_id (number) , county_id (number) , name (text) , white (number) , black (number) , amerindian (number) , asian (number) , multiracial (number) , hispanic (number)", "summarized-schema": "county_public_safety : case_burden (number) , population (number)", "shrink-score": 0.8888888888888888}
{"db_id": "inn_1", "question": "Find the names of all modern rooms with a base price below $160 and two beds.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , baseprice (number) , beds (number) , decor (text)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "What are the names of modern rooms that have a base price lower than $160 and two beds.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , baseprice (number) , beds (number) , decor (text)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "Find all the rooms that have a price higher than 160 and can accommodate more than 2 people. Report room names and ids.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , roomid (text) , baseprice (number) , maxoccupancy (number)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "What are the room names and ids of all the rooms that cost more than 160 and can accommodate more than two people.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , roomid (text) , baseprice (number) , maxoccupancy (number)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "Find the most popular room in the hotel. The most popular room is the room that had seen the largest number of reservations.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , roomid (text) | reservations : room (text) , code (number)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "Which room has the largest number of reservations?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , roomid (text) | reservations : room (text) , code (number)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "How many kids stay in the rooms reserved by ROY SWEAZY?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "reservations : kids (number) , firstname (text) , lastname (text)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "Find the number of kids staying in the rooms reserved by a person called ROY SWEAZ.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "reservations : kids (number) , firstname (text) , lastname (text)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "How many times does ROY SWEAZY has reserved a room.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "reservations : firstname (text) , lastname (text) , code (number)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "Find the number of times ROY SWEAZY has reserved a room.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "reservations : firstname (text) , lastname (text) , code (number)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "Which room has the highest rate? List the room's full name, rate, check in and check out date.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , roomid (text) | reservations : rate (number) , checkin (text) , checkout (text) , room (text)", "shrink-score": 0.625}
{"db_id": "inn_1", "question": "Return the name, rate, check in and check out date for the room with the highest rate.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , roomid (text) | reservations : rate (number) , checkin (text) , checkout (text) , room (text)", "shrink-score": 0.625}
{"db_id": "inn_1", "question": "How many adults stay in the room CONRAD SELBIG checked in on Oct 23, 2010?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "reservations : adults (number) , checkin (text) , firstname (text) , lastname (text)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "Find the number of adults for the room reserved and checked in by CONRAD SELBIG on Oct 23, 2010.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "reservations : adults (number) , checkin (text) , firstname (text) , lastname (text)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "How many kids stay in the room DAMIEN TRACHSEL checked in on Sep 21, 2010?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "reservations : kids (number) , checkin (text) , firstname (text) , lastname (text)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "Return the number of kids for the room reserved and checked in by DAMIEN TRACHSEL on  Sep 21, 2010.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "reservations : kids (number) , checkin (text) , firstname (text) , lastname (text)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "How many king beds are there?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : beds (number) , bedtype (text)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "Find the total number of king beds available.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : beds (number) , bedtype (text)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "List the names and decor of rooms that have a king bed. Sort the list by their price.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , decor (text) , bedtype (text) , baseprice (number)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "What are the names and decor of rooms with a king bed? Sort them by their price", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , decor (text) , bedtype (text) , baseprice (number)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "Which room has cheapest base price? List the room's name and the base price.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , baseprice (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "What are the room name and base price of the room with the lowest base price?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , baseprice (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "What is the decor of room Recluse and defiance?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : decor (text) , roomname (text)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "Return the decor of the room named \"Recluse and defiance\".", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : decor (text) , roomname (text)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "What is the average base price of different bed type? List bed type and average base price.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : bedtype (text) , baseprice (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "For each bed type, find the average base price of different bed type.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : bedtype (text) , baseprice (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "What is the total number of people who could stay in the modern rooms in this inn?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : maxoccupancy (number) , decor (text)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "How many people in total can stay in the modern rooms of this inn?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : maxoccupancy (number) , decor (text)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "What kind of decor has the least number of reservations?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : decor (text) , roomid (text) | reservations : room (text)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "What is the least popular kind of decor?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : decor (text) , roomid (text) | reservations : room (text)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "List how many times the number of people in the room reached the maximum occupancy of the room. The number of people include adults and kids.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "reservations : room (text) , adults (number) , kids (number) , code (number) | rooms : roomid (text) , maxoccupancy (number)", "shrink-score": 0.625}
{"db_id": "inn_1", "question": "How many times the number of adults and kids staying in a room reached the maximum capacity of the room?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "reservations : room (text) , adults (number) , kids (number) , code (number) | rooms : roomid (text) , maxoccupancy (number)", "shrink-score": 0.625}
{"db_id": "inn_1", "question": "Find the first and last names of people who payed more than the rooms' base prices.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "reservations : firstname (text) , lastname (text) , room (text) , rate (number) | rooms : roomid (text) , baseprice (number)", "shrink-score": 0.625}
{"db_id": "inn_1", "question": "What are the first and last names of people who payed more than the rooms' base prices?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "reservations : firstname (text) , lastname (text) , room (text) , rate (number) | rooms : roomid (text) , baseprice (number)", "shrink-score": 0.625}
{"db_id": "inn_1", "question": "How many rooms are there?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomid (text)", "shrink-score": 0.9375}
{"db_id": "inn_1", "question": "What is the total number of rooms available in this inn?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomid (text)", "shrink-score": 0.9375}
{"db_id": "inn_1", "question": "Find the number of rooms with a king bed.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : bedtype (text) , roomid (text)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "How many rooms have a king bed?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : bedtype (text) , roomid (text)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "Find the number of rooms for each bed type.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : bedtype (text) , roomid (text)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "What are the number of rooms for each bed type?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : bedtype (text) , roomid (text)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "Find the name of the room with the maximum occupancy.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , maxoccupancy (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "What is the name of the room that can accommodate the most people?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , maxoccupancy (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "Find the id and name of the most expensive base price room.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomid (text) , roomname (text) , baseprice (number)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "Which room has the highest base price?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomid (text) , roomname (text) , baseprice (number)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "List the type of bed and name of all traditional rooms.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , bedtype (text) , decor (text)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "What are the bed type and name of all the rooms with traditional decor?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , bedtype (text) , decor (text)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "Find the number of rooms with king bed for each decor type.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : decor (text) , bedtype (text) , roomid (text)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "How many rooms have king beds? Report the number for each decor type.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : decor (text) , bedtype (text) , roomid (text)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "Find the average and minimum price of the rooms in different decor.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : decor (text) , baseprice (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "What is the average minimum and price of the rooms for each different decor.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : decor (text) , baseprice (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "List the name of all rooms sorted by their prices.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , baseprice (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "Sort all the rooms according to the price. Just report the room names.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , baseprice (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "Find the number of rooms with price higher than 120 for different decor.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : decor (text) , baseprice (number) , roomid (text)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "How many rooms cost more than 120, for each different decor?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : decor (text) , baseprice (number) , roomid (text)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "For each bed type, find the average room price.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : bedtype (text) , baseprice (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "What is the average base price of rooms, for each bed type?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : bedtype (text) , baseprice (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "List the name of rooms with king or queen bed.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , bedtype (text)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "What are the names of rooms that have either king or queen bed?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , bedtype (text)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "How many different types of beds are there?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : bedtype (text)", "shrink-score": 0.9375}
{"db_id": "inn_1", "question": "Find the number of distinct bed types available in this inn.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : bedtype (text)", "shrink-score": 0.9375}
{"db_id": "inn_1", "question": "Find the name and id of the top 3 expensive rooms.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomid (text) , roomname (text) , baseprice (number)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "What are the name and id of the three highest priced rooms?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomid (text) , roomname (text) , baseprice (number)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "Find the name of rooms whose price is higher than the average price.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , baseprice (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "What are the name of rooms that cost more than the average.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , baseprice (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "Find the number of rooms that do not have any reservation.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomid (text) | reservations : room (text) , code (number)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "How many rooms have not had any reservation yet?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomid (text) | reservations : room (text) , code (number)", "shrink-score": 0.8125}
{"db_id": "inn_1", "question": "Return the name and number of reservations made for each of the rooms.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , roomid (text) | reservations : room (text) , code (number)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "For each room, find its name and the number of times reservations were made for it.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , roomid (text) | reservations : room (text) , code (number)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "Find the names of rooms that have been reserved for more than 60 times.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , roomid (text) | reservations : room (text) , code (number)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "What are the names of rooms whose reservation frequency exceeds 60 times?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , roomid (text) | reservations : room (text) , code (number)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "Find the name of rooms whose base price is between 120 and 150.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , baseprice (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "Which rooms cost between 120 and 150? Give me the room names.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , baseprice (number)", "shrink-score": 0.875}
{"db_id": "inn_1", "question": "Find the name of rooms booked by some customers whose first name contains ROY.", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , roomid (text) | reservations : room (text) , firstname (text)", "shrink-score": 0.75}
{"db_id": "inn_1", "question": "What are the name of rooms booked by customers whose first name has \"ROY\" in part?", "schema": "rooms : roomid (text) , roomname (text) , beds (number) , bedtype (text) , maxoccupancy (number) , baseprice (number) , decor (text) | reservations : code (number) , room (text) , checkin (text) , checkout (text) , rate (number) , lastname (text) , firstname (text) , adults (number) , kids (number)", "summarized-schema": "rooms : roomname (text) , roomid (text) | reservations : room (text) , firstname (text)", "shrink-score": 0.75}
{"db_id": "local_govt_mdm", "question": "what are the details of the cmi masters that have the cross reference code 'Tax'?", "schema": "customer_master_index : master_customer_id (number) , cmi_details (text) | cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) , source_system_code (text) | council_tax : council_tax_id (number) , cmi_cross_ref_id (number) | business_rates : business_rates_id (number) , cmi_cross_ref_id (number) | benefits_overpayments : council_tax_id (number) , cmi_cross_ref_id (number) | parking_fines : council_tax_id (number) , cmi_cross_ref_id (number) | rent_arrears : council_tax_id (number) , cmi_cross_ref_id (number) | electoral_register : electoral_register_id (number) , cmi_cross_ref_id (number)", "summarized-schema": "customer_master_index : cmi_details (text) , master_customer_id (number) | cmi_cross_references : master_customer_id (number) , source_system_code (text)", "shrink-score": 0.7647058823529411}
{"db_id": "local_govt_mdm", "question": "What is the cmi cross reference id that is related to at least one council tax entry? List the cross reference id and source system code.", "schema": "customer_master_index : master_customer_id (number) , cmi_details (text) | cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) , source_system_code (text) | council_tax : council_tax_id (number) , cmi_cross_ref_id (number) | business_rates : business_rates_id (number) , cmi_cross_ref_id (number) | benefits_overpayments : council_tax_id (number) , cmi_cross_ref_id (number) | parking_fines : council_tax_id (number) , cmi_cross_ref_id (number) | rent_arrears : council_tax_id (number) , cmi_cross_ref_id (number) | electoral_register : electoral_register_id (number) , cmi_cross_ref_id (number)", "summarized-schema": "cmi_cross_references : cmi_cross_ref_id (number) , source_system_code (text) | council_tax : cmi_cross_ref_id (number) , council_tax_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "local_govt_mdm", "question": "How many business rates are related to each cmi cross reference? List cross reference id, master customer id and the n", "schema": "customer_master_index : master_customer_id (number) , cmi_details (text) | cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) , source_system_code (text) | council_tax : council_tax_id (number) , cmi_cross_ref_id (number) | business_rates : business_rates_id (number) , cmi_cross_ref_id (number) | benefits_overpayments : council_tax_id (number) , cmi_cross_ref_id (number) | parking_fines : council_tax_id (number) , cmi_cross_ref_id (number) | rent_arrears : council_tax_id (number) , cmi_cross_ref_id (number) | electoral_register : electoral_register_id (number) , cmi_cross_ref_id (number)", "summarized-schema": "cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) | business_rates : cmi_cross_ref_id (number) , business_rates_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "local_govt_mdm", "question": "What is the tax source system code related to the benefits and overpayments? List the code and the benifit id, order by benifit id.", "schema": "customer_master_index : master_customer_id (number) , cmi_details (text) | cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) , source_system_code (text) | council_tax : council_tax_id (number) , cmi_cross_ref_id (number) | business_rates : business_rates_id (number) , cmi_cross_ref_id (number) | benefits_overpayments : council_tax_id (number) , cmi_cross_ref_id (number) | parking_fines : council_tax_id (number) , cmi_cross_ref_id (number) | rent_arrears : council_tax_id (number) , cmi_cross_ref_id (number) | electoral_register : electoral_register_id (number) , cmi_cross_ref_id (number)", "summarized-schema": "cmi_cross_references : source_system_code (text) , cmi_cross_ref_id (number) | benefits_overpayments : council_tax_id (number) , cmi_cross_ref_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "local_govt_mdm", "question": "Wat is the tax source system code and master customer id of the taxes related to each parking fine id?", "schema": "customer_master_index : master_customer_id (number) , cmi_details (text) | cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) , source_system_code (text) | council_tax : council_tax_id (number) , cmi_cross_ref_id (number) | business_rates : business_rates_id (number) , cmi_cross_ref_id (number) | benefits_overpayments : council_tax_id (number) , cmi_cross_ref_id (number) | parking_fines : council_tax_id (number) , cmi_cross_ref_id (number) | rent_arrears : council_tax_id (number) , cmi_cross_ref_id (number) | electoral_register : electoral_register_id (number) , cmi_cross_ref_id (number)", "summarized-schema": "cmi_cross_references : source_system_code (text) , master_customer_id (number) , cmi_cross_ref_id (number) | parking_fines : council_tax_id (number) , cmi_cross_ref_id (number)", "shrink-score": 0.7058823529411765}
{"db_id": "local_govt_mdm", "question": "What are the renting arrears tax ids related to the customer master index whose detail is not 'Schmidt, Kertzmann and Lubowitz'?", "schema": "customer_master_index : master_customer_id (number) , cmi_details (text) | cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) , source_system_code (text) | council_tax : council_tax_id (number) , cmi_cross_ref_id (number) | business_rates : business_rates_id (number) , cmi_cross_ref_id (number) | benefits_overpayments : council_tax_id (number) , cmi_cross_ref_id (number) | parking_fines : council_tax_id (number) , cmi_cross_ref_id (number) | rent_arrears : council_tax_id (number) , cmi_cross_ref_id (number) | electoral_register : electoral_register_id (number) , cmi_cross_ref_id (number)", "summarized-schema": "rent_arrears : council_tax_id (number) , cmi_cross_ref_id (number) | cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) | customer_master_index : master_customer_id (number) , cmi_details (text)", "shrink-score": 0.6470588235294118}
{"db_id": "local_govt_mdm", "question": "What are the register ids of electoral registries that have the cross reference source system code 'Electoral' or 'Tax'?", "schema": "customer_master_index : master_customer_id (number) , cmi_details (text) | cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) , source_system_code (text) | council_tax : council_tax_id (number) , cmi_cross_ref_id (number) | business_rates : business_rates_id (number) , cmi_cross_ref_id (number) | benefits_overpayments : council_tax_id (number) , cmi_cross_ref_id (number) | parking_fines : council_tax_id (number) , cmi_cross_ref_id (number) | rent_arrears : council_tax_id (number) , cmi_cross_ref_id (number) | electoral_register : electoral_register_id (number) , cmi_cross_ref_id (number)", "summarized-schema": "electoral_register : electoral_register_id (number) , cmi_cross_ref_id (number) | cmi_cross_references : cmi_cross_ref_id (number) , source_system_code (text)", "shrink-score": 0.7647058823529411}
{"db_id": "local_govt_mdm", "question": "How many different source system code for the cmi cross references are there?", "schema": "customer_master_index : master_customer_id (number) , cmi_details (text) | cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) , source_system_code (text) | council_tax : council_tax_id (number) , cmi_cross_ref_id (number) | business_rates : business_rates_id (number) , cmi_cross_ref_id (number) | benefits_overpayments : council_tax_id (number) , cmi_cross_ref_id (number) | parking_fines : council_tax_id (number) , cmi_cross_ref_id (number) | rent_arrears : council_tax_id (number) , cmi_cross_ref_id (number) | electoral_register : electoral_register_id (number) , cmi_cross_ref_id (number)", "summarized-schema": "cmi_cross_references : source_system_code (text)", "shrink-score": 0.9411764705882353}
{"db_id": "local_govt_mdm", "question": "List all information about customer master index, and sort them by details in descending order.", "schema": "customer_master_index : master_customer_id (number) , cmi_details (text) | cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) , source_system_code (text) | council_tax : council_tax_id (number) , cmi_cross_ref_id (number) | business_rates : business_rates_id (number) , cmi_cross_ref_id (number) | benefits_overpayments : council_tax_id (number) , cmi_cross_ref_id (number) | parking_fines : council_tax_id (number) , cmi_cross_ref_id (number) | rent_arrears : council_tax_id (number) , cmi_cross_ref_id (number) | electoral_register : electoral_register_id (number) , cmi_cross_ref_id (number)", "summarized-schema": "customer_master_index : cmi_details (text) , master_customer_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "local_govt_mdm", "question": "List the council tax ids and their related cmi cross references of all the parking fines.", "schema": "customer_master_index : master_customer_id (number) , cmi_details (text) | cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) , source_system_code (text) | council_tax : council_tax_id (number) , cmi_cross_ref_id (number) | business_rates : business_rates_id (number) , cmi_cross_ref_id (number) | benefits_overpayments : council_tax_id (number) , cmi_cross_ref_id (number) | parking_fines : council_tax_id (number) , cmi_cross_ref_id (number) | rent_arrears : council_tax_id (number) , cmi_cross_ref_id (number) | electoral_register : electoral_register_id (number) , cmi_cross_ref_id (number)", "summarized-schema": "parking_fines : council_tax_id (number) , cmi_cross_ref_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "local_govt_mdm", "question": "How many council taxes are collected for renting arrears ?", "schema": "customer_master_index : master_customer_id (number) , cmi_details (text) | cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) , source_system_code (text) | council_tax : council_tax_id (number) , cmi_cross_ref_id (number) | business_rates : business_rates_id (number) , cmi_cross_ref_id (number) | benefits_overpayments : council_tax_id (number) , cmi_cross_ref_id (number) | parking_fines : council_tax_id (number) , cmi_cross_ref_id (number) | rent_arrears : council_tax_id (number) , cmi_cross_ref_id (number) | electoral_register : electoral_register_id (number) , cmi_cross_ref_id (number)", "summarized-schema": "rent_arrears : council_tax_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "local_govt_mdm", "question": "What are the distinct cross reference source system codes which are related to the master customer details 'Gottlieb, Becker and Wyman'?", "schema": "customer_master_index : master_customer_id (number) , cmi_details (text) | cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) , source_system_code (text) | council_tax : council_tax_id (number) , cmi_cross_ref_id (number) | business_rates : business_rates_id (number) , cmi_cross_ref_id (number) | benefits_overpayments : council_tax_id (number) , cmi_cross_ref_id (number) | parking_fines : council_tax_id (number) , cmi_cross_ref_id (number) | rent_arrears : council_tax_id (number) , cmi_cross_ref_id (number) | electoral_register : electoral_register_id (number) , cmi_cross_ref_id (number)", "summarized-schema": "cmi_cross_references : source_system_code (text) , master_customer_id (number) | customer_master_index : master_customer_id (number) , cmi_details (text)", "shrink-score": 0.7647058823529411}
{"db_id": "local_govt_mdm", "question": "Which cmi cross reference id is not related to any parking taxes?", "schema": "customer_master_index : master_customer_id (number) , cmi_details (text) | cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) , source_system_code (text) | council_tax : council_tax_id (number) , cmi_cross_ref_id (number) | business_rates : business_rates_id (number) , cmi_cross_ref_id (number) | benefits_overpayments : council_tax_id (number) , cmi_cross_ref_id (number) | parking_fines : council_tax_id (number) , cmi_cross_ref_id (number) | rent_arrears : council_tax_id (number) , cmi_cross_ref_id (number) | electoral_register : electoral_register_id (number) , cmi_cross_ref_id (number)", "summarized-schema": "cmi_cross_references : cmi_cross_ref_id (number) | parking_fines : cmi_cross_ref_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "local_govt_mdm", "question": "Which distinct source system code includes the substring 'en'?", "schema": "customer_master_index : master_customer_id (number) , cmi_details (text) | cmi_cross_references : cmi_cross_ref_id (number) , master_customer_id (number) , source_system_code (text) | council_tax : council_tax_id (number) , cmi_cross_ref_id (number) | business_rates : business_rates_id (number) , cmi_cross_ref_id (number) | benefits_overpayments : council_tax_id (number) , cmi_cross_ref_id (number) | parking_fines : council_tax_id (number) , cmi_cross_ref_id (number) | rent_arrears : council_tax_id (number) , cmi_cross_ref_id (number) | electoral_register : electoral_register_id (number) , cmi_cross_ref_id (number)", "summarized-schema": "cmi_cross_references : source_system_code (text)", "shrink-score": 0.9411764705882353}
{"db_id": "party_host", "question": "How many parties are there?", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : party_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "party_host", "question": "Count the number of parties.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : party_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "party_host", "question": "List the themes of parties in ascending order of number of hosts.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : party_theme (text) , number_of_hosts (number)", "shrink-score": 0.8461538461538461}
{"db_id": "party_host", "question": "What are the themes of parties ordered by the number of hosts in ascending manner?", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : party_theme (text) , number_of_hosts (number)", "shrink-score": 0.8461538461538461}
{"db_id": "party_host", "question": "What are the themes and locations of parties?", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : party_theme (text) , location (text)", "shrink-score": 0.8461538461538461}
{"db_id": "party_host", "question": "Give me the theme and location of each party.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : party_theme (text) , location (text)", "shrink-score": 0.8461538461538461}
{"db_id": "party_host", "question": "Show the first year and last year of parties with theme \"Spring\" or \"Teqnology\".", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : first_year (text) , last_year (text) , party_theme (text)", "shrink-score": 0.7692307692307693}
{"db_id": "party_host", "question": "What are the first year and last year of the parties whose theme is \"Spring\" or \"Teqnology\"?", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : first_year (text) , last_year (text) , party_theme (text)", "shrink-score": 0.7692307692307693}
{"db_id": "party_host", "question": "What is the average number of hosts for parties?", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : number_of_hosts (number)", "shrink-score": 0.9230769230769231}
{"db_id": "party_host", "question": "Compute the average number of hosts for parties.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : number_of_hosts (number)", "shrink-score": 0.9230769230769231}
{"db_id": "party_host", "question": "What is the location of the party with the most hosts?", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : location (text) , number_of_hosts (number)", "shrink-score": 0.8461538461538461}
{"db_id": "party_host", "question": "Which party had the most hosts? Give me the party location.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : location (text) , number_of_hosts (number)", "shrink-score": 0.8461538461538461}
{"db_id": "party_host", "question": "Show different nationalities along with the number of hosts of each nationality.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "host : nationality (text) , host_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "party_host", "question": "How many hosts does each nationality have? List the nationality and the count.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "host : nationality (text) , host_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "party_host", "question": "Show the most common nationality of hosts.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "host : nationality (text) , host_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "party_host", "question": "Which nationality has the most hosts?", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "host : nationality (text) , host_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "party_host", "question": "Show the nations that have both hosts older than 45 and hosts younger than 35.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "host : nationality (text) , age (text)", "shrink-score": 0.8461538461538461}
{"db_id": "party_host", "question": "Which nations have both hosts of age above 45 and hosts of age below 35?", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "host : nationality (text) , age (text)", "shrink-score": 0.8461538461538461}
{"db_id": "party_host", "question": "Show the themes of parties and the names of the party hosts.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : party_theme (text) , party_id (number) | host : name (text) , host_id (number) | party_host : host_id (number) , party_id (number)", "shrink-score": 0.5384615384615384}
{"db_id": "party_host", "question": "For each party, return its theme and the name of its host.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : party_theme (text) , party_id (number) | host : name (text) , host_id (number) | party_host : host_id (number) , party_id (number)", "shrink-score": 0.5384615384615384}
{"db_id": "party_host", "question": "Show the locations of parties and the names of the party hosts in ascending order of the age of the host.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : location (text) , party_id (number) | host : name (text) , host_id (number) , age (text) | party_host : host_id (number) , party_id (number)", "shrink-score": 0.46153846153846156}
{"db_id": "party_host", "question": "For each party, find its location and the name of its host. Sort the result in ascending order of the age of the host.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : location (text) , party_id (number) | host : name (text) , host_id (number) , age (text) | party_host : host_id (number) , party_id (number)", "shrink-score": 0.46153846153846156}
{"db_id": "party_host", "question": "Show the locations of parties with hosts older than 50.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : location (text) , party_id (number) | host : host_id (number) , age (text) | party_host : host_id (number) , party_id (number)", "shrink-score": 0.5384615384615384}
{"db_id": "party_host", "question": "Which parties have hosts of age above 50? Give me the party locations.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "party : location (text) , party_id (number) | host : host_id (number) , age (text) | party_host : host_id (number) , party_id (number)", "shrink-score": 0.5384615384615384}
{"db_id": "party_host", "question": "Show the host names for parties with number of hosts greater than 20.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "host : name (text) , host_id (number) | party_host : host_id (number) , party_id (number) | party : party_id (number) , number_of_hosts (number)", "shrink-score": 0.5384615384615384}
{"db_id": "party_host", "question": "Which parties have more than 20 hosts? Give me the host names for these parties.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "host : name (text) , host_id (number) | party_host : host_id (number) , party_id (number) | party : party_id (number) , number_of_hosts (number)", "shrink-score": 0.5384615384615384}
{"db_id": "party_host", "question": "Show the name and the nationality of the oldest host.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "host : name (text) , nationality (text) , age (text)", "shrink-score": 0.7692307692307693}
{"db_id": "party_host", "question": "What are the name and the nationality of the host of the highest age?", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "host : name (text) , nationality (text) , age (text)", "shrink-score": 0.7692307692307693}
{"db_id": "party_host", "question": "List the names of hosts who did not serve as a host of any party in our record.", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "host : name (text) , host_id (number) | party_host : host_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "party_host", "question": "What are the names of hosts who did not host any party in our record?", "schema": "party : party_id (number) , party_theme (text) , location (text) , first_year (text) , last_year (text) , number_of_hosts (number) | host : host_id (number) , name (text) , nationality (text) , age (text) | party_host : party_id (number) , host_id (number) , is_main_in_charge (others)", "summarized-schema": "host : name (text) , host_id (number) | party_host : host_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "storm_record", "question": "How many regions do we have?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "storm_record", "question": "Count the number of regions.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "storm_record", "question": "Show all region code and region name sorted by the codes.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_code (text) , region_name (text)", "shrink-score": 0.8333333333333334}
{"db_id": "storm_record", "question": "What are the codes and names for all regions, sorted by codes?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_code (text) , region_name (text)", "shrink-score": 0.8333333333333334}
{"db_id": "storm_record", "question": "List all region names in alphabetical order.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_name (text)", "shrink-score": 0.9166666666666666}
{"db_id": "storm_record", "question": "What are the names of the regions in alphabetical order?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_name (text)", "shrink-score": 0.9166666666666666}
{"db_id": "storm_record", "question": "Show names for all regions except for Denmark.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_name (text)", "shrink-score": 0.9166666666666666}
{"db_id": "storm_record", "question": "Return the names of all regions other than Denmark.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_name (text)", "shrink-score": 0.9166666666666666}
{"db_id": "storm_record", "question": "How many storms had death records?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : number_deaths (number) , storm_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "storm_record", "question": "Count the number of storms in which at least 1 person died.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : number_deaths (number) , storm_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "storm_record", "question": "List name, dates active, and number of deaths for all storms with at least 1 death.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , dates_active (text) , number_deaths (number)", "shrink-score": 0.75}
{"db_id": "storm_record", "question": "What are the names, dates active, and number of deaths for storms that had 1 or more death?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , dates_active (text) , number_deaths (number)", "shrink-score": 0.75}
{"db_id": "storm_record", "question": "Show the average and maximum damage for all storms with max speed higher than 1000.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : damage_millions_usd (number) , max_speed (number)", "shrink-score": 0.8333333333333334}
{"db_id": "storm_record", "question": "What is the average and maximum damage in millions for storms that had a max speed over 1000?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : damage_millions_usd (number) , max_speed (number)", "shrink-score": 0.8333333333333334}
{"db_id": "storm_record", "question": "What is the total number of deaths and damage for all storms with a max speed greater than the average?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : number_deaths (number) , damage_millions_usd (number) , max_speed (number)", "shrink-score": 0.75}
{"db_id": "storm_record", "question": "Return the total number of deaths and total damange in millions for storms that had a max speed greater than the average.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : number_deaths (number) , damage_millions_usd (number) , max_speed (number)", "shrink-score": 0.75}
{"db_id": "storm_record", "question": "List name and damage for all storms in a descending order of max speed.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , damage_millions_usd (number) , max_speed (number)", "shrink-score": 0.75}
{"db_id": "storm_record", "question": "What are the names and damage in millions for storms, ordered by their max speeds descending?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , damage_millions_usd (number) , max_speed (number)", "shrink-score": 0.75}
{"db_id": "storm_record", "question": "How many regions are affected?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "affected_region : region_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "storm_record", "question": "Count the number of different affected regions.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "affected_region : region_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "storm_record", "question": "Show the name for regions not affected.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_name (text) , region_id (number) | affected_region : region_id (number)", "shrink-score": 0.75}
{"db_id": "storm_record", "question": "What are the names of regions that were not affected?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_name (text) , region_id (number) | affected_region : region_id (number)", "shrink-score": 0.75}
{"db_id": "storm_record", "question": "Show the name for regions and the number of storms for each region.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_name (text) , region_id (number) | affected_region : region_id (number)", "shrink-score": 0.75}
{"db_id": "storm_record", "question": "How many storms occured in each region?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_name (text) , region_id (number) | affected_region : region_id (number)", "shrink-score": 0.75}
{"db_id": "storm_record", "question": "List the name for storms and the number of affected regions for each storm.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , storm_id (number) | affected_region : storm_id (number) , region_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "storm_record", "question": "How many regions were affected by each storm?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , storm_id (number) | affected_region : storm_id (number) , region_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "storm_record", "question": "What is the storm name and max speed which affected the greatest number of regions?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , max_speed (number) , storm_id (number) | affected_region : storm_id (number) , region_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "storm_record", "question": "Return the name and max speed of the storm that affected the most regions.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , max_speed (number) , storm_id (number) | affected_region : storm_id (number) , region_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "storm_record", "question": "Show the name of storms which don't have affected region in record.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , storm_id (number) | affected_region : storm_id (number)", "shrink-score": 0.75}
{"db_id": "storm_record", "question": "What are the names of storms that did not affect any regions?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , storm_id (number) | affected_region : storm_id (number)", "shrink-score": 0.75}
{"db_id": "storm_record", "question": "Show storm name with at least two regions and 10 cities affected.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , storm_id (number) | affected_region : storm_id (number) , number_city_affected (number) , region_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "storm_record", "question": "What are the names of storms that both affected two or more regions and affected a total of 10 or more cities?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , storm_id (number) | affected_region : storm_id (number) , number_city_affected (number) , region_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "storm_record", "question": "Show all storm names except for those with at least two affected regions.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , storm_id (number) | affected_region : storm_id (number) , region_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "storm_record", "question": "What are the names of storms that did not affect two or more regions?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , storm_id (number) | affected_region : storm_id (number) , region_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "storm_record", "question": "What are the region names affected by the storm with a number of deaths of least 10?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_name (text) , region_id (number) | affected_region : region_id (number) , storm_id (number) | storm : storm_id (number) , number_deaths (number)", "shrink-score": 0.5}
{"db_id": "storm_record", "question": "Return the names of the regions affected by storms that had a death count of at least 10.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_name (text) , region_id (number) | affected_region : region_id (number) , storm_id (number) | storm : storm_id (number) , number_deaths (number)", "shrink-score": 0.5}
{"db_id": "storm_record", "question": "Show all storm names affecting region \"Denmark\".", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , storm_id (number) | region : region_id (number) , region_name (text) | affected_region : region_id (number) , storm_id (number)", "shrink-score": 0.5}
{"db_id": "storm_record", "question": "What are the names of the storms that affected Denmark?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , storm_id (number) | region : region_id (number) , region_name (text) | affected_region : region_id (number) , storm_id (number)", "shrink-score": 0.5}
{"db_id": "storm_record", "question": "Show the region name with at least two storms.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_name (text) , region_id (number) | affected_region : region_id (number)", "shrink-score": 0.75}
{"db_id": "storm_record", "question": "What are the names of regions with two or more storms?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_name (text) , region_id (number) | affected_region : region_id (number)", "shrink-score": 0.75}
{"db_id": "storm_record", "question": "Find the names of the regions which were affected by the storm that killed the greatest number of people.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_name (text) , region_id (number) | affected_region : region_id (number) , storm_id (number) | storm : storm_id (number) , number_deaths (number)", "shrink-score": 0.5}
{"db_id": "storm_record", "question": "What are the names of regions that were affected by the storm in which the most people died?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "region : region_name (text) , region_id (number) | affected_region : region_id (number) , storm_id (number) | storm : storm_id (number) , number_deaths (number)", "shrink-score": 0.5}
{"db_id": "storm_record", "question": "Find the name of the storm that affected both Afghanistan and Albania regions.", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , storm_id (number) | region : region_id (number) , region_name (text) | affected_region : region_id (number) , storm_id (number)", "shrink-score": 0.5}
{"db_id": "storm_record", "question": "What are the names of the storms that affected both the regions of Afghanistan and Albania?", "schema": "storm : storm_id (number) , name (text) , dates_active (text) , max_speed (number) , damage_millions_usd (number) , number_deaths (number) | region : region_id (number) , region_code (text) , region_name (text) | affected_region : region_id (number) , storm_id (number) , number_city_affected (number)", "summarized-schema": "storm : name (text) , storm_id (number) | region : region_id (number) , region_name (text) | affected_region : region_id (number) , storm_id (number)", "shrink-score": 0.5}
{"db_id": "election", "question": "How many counties are there in total?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "election", "question": "Count the total number of counties.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "election", "question": "Show the county name and population of all counties.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text) , population (number)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "What are the name and population of each county?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text) , population (number)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "Show the average population of all counties.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : population (number)", "shrink-score": 0.9473684210526315}
{"db_id": "election", "question": "On average how large is the population of the counties?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : population (number)", "shrink-score": 0.9473684210526315}
{"db_id": "election", "question": "Return the maximum and minimum population among all counties.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : population (number)", "shrink-score": 0.9473684210526315}
{"db_id": "election", "question": "What are the maximum and minimum population of the counties?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : population (number)", "shrink-score": 0.9473684210526315}
{"db_id": "election", "question": "Show all the distinct districts for elections.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : district (number)", "shrink-score": 0.9473684210526315}
{"db_id": "election", "question": "What are the distinct districts for elections?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : district (number)", "shrink-score": 0.9473684210526315}
{"db_id": "election", "question": "Show the zip code of the county with name \"Howard\".", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : zip_code (text) , county_name (text)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "What is the zip code the county named \"Howard\" is located in?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : zip_code (text) , county_name (text)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "Show the delegate from district 1 in election.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : delegate (text) , district (number)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "Who is the delegate of district 1 in the elections?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : delegate (text) , district (number)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "Show the delegate and committee information of elections.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : delegate (text) , committee (text)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "What are the delegate and committee information for each election record?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : delegate (text) , committee (text)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "How many distinct governors are there?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : governor (text) , party (text)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "Count the number of distinct governors.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : governor (text) , party (text)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "Show the lieutenant governor and comptroller from the democratic party.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : lieutenant_governor (text) , comptroller (text) , party (text)", "shrink-score": 0.8421052631578947}
{"db_id": "election", "question": "Who are the lieutenant governor and comptroller from the democratic party?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : lieutenant_governor (text) , comptroller (text) , party (text)", "shrink-score": 0.8421052631578947}
{"db_id": "election", "question": "In which distinct years was the governor \"Eliot Spitzer\"?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : year (number) , party (text) , governor (text)", "shrink-score": 0.8421052631578947}
{"db_id": "election", "question": "Find the distinct years when the governor was named \"Eliot Spitzer\".", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : year (number) , party (text) , governor (text)", "shrink-score": 0.8421052631578947}
{"db_id": "election", "question": "Show all the information about election.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : election_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "election", "question": "Return all the information for each election record.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : election_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "election", "question": "Show the delegates and the names of county they belong to.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : delegate (text) , district (number) | county : county_name (text) , county_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "What are the delegate and name of the county they belong to, for each county?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : delegate (text) , district (number) | county : county_name (text) , county_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Which delegates are from counties with population smaller than 100000?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : delegate (text) , district (number) | county : county_id (number) , population (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Find the delegates who are from counties with population below 100000.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : delegate (text) , district (number) | county : county_id (number) , population (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "How many distinct delegates are from counties with population larger than 50000?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : delegate (text) , district (number) | county : county_id (number) , population (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Count the number of distinct delegates who are from counties with population above 50000.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : delegate (text) , district (number) | county : county_id (number) , population (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "What are the names of the county that the delegates on \"Appropriations\" committee belong to?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text) , county_id (number) | election : district (number) , committee (text)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Which county do the delegates on \"Appropriations\" committee belong to? Give me the county names.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text) , county_id (number) | election : district (number) , committee (text)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Show the delegates and the names of the party they belong to.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : delegate (text) , party (number) | party : party (text) , party_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "For each delegate, find the names of the party they are part of.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : delegate (text) , party (number) | party : party (text) , party_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Who were the governors of the parties associated with delegates from district 1?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : governor (text) , party (text) , party_id (number) | election : party (number) , district (number)", "shrink-score": 0.7368421052631579}
{"db_id": "election", "question": "Find the parties associated with the delegates from district 1. Who served as governors of the parties?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : governor (text) , party (text) , party_id (number) | election : party (number) , district (number)", "shrink-score": 0.7368421052631579}
{"db_id": "election", "question": "Who were the comptrollers of the parties associated with the delegates from district 1 or district 2?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : comptroller (text) , party (text) , party_id (number) | election : party (number) , district (number)", "shrink-score": 0.7368421052631579}
{"db_id": "election", "question": "Find the parties associated with the delegates from district 1 or 2. Who served as comptrollers of the parties?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : comptroller (text) , party (text) , party_id (number) | election : party (number) , district (number)", "shrink-score": 0.7368421052631579}
{"db_id": "election", "question": "Return all the committees that have delegates from Democratic party.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : committee (text) , party (number) | party : party (text) , party_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Which committees have delegates from the Democratic party?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : committee (text) , party (number) | party : party (text) , party_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Show the name of each county along with the corresponding number of delegates from that county.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text) , county_id (number) | election : district (number) , election_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "For each county, find the name of the county and the number of delegates from that county.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text) , county_id (number) | election : district (number) , election_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Show the name of each party and the corresponding number of delegates from that party.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : party (text) , party_id (number) | election : party (number) , election_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "For each party, return the name of the party and the number of delegates from that party.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : party (text) , party_id (number) | election : party (number) , election_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Return the names of all counties sorted by population in ascending order.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text) , population (number)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "Sort the names of all counties in ascending order of population.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text) , population (number)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "Return the names of all counties sorted by county name in descending alphabetical order.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text)", "shrink-score": 0.9473684210526315}
{"db_id": "election", "question": "Sort the names of all counties in descending alphabetical order.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text)", "shrink-score": 0.9473684210526315}
{"db_id": "election", "question": "Show the name of the county with the biggest population.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text) , population (number)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "Which county has the largest population? Give me the name of the county.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text) , population (number)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "Show the 3 counties with the smallest population.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text) , population (number)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "What are the 3 counties that have the smallest population? Give me the county names.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text) , population (number)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "Show the names of counties that have at least two delegates.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text) , county_id (number) | election : district (number) , election_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Which counties have two or more delegates? Give me the county names.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "county : county_name (text) , county_id (number) | election : district (number) , election_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Show the name of the party that has at least two records.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : party (text) , party_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "Which party has two or more records?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : party (text) , party_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "election", "question": "Show the name of the party that has the most delegates.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : party (text) , party_id (number) | election : party (number) , election_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Which party has the largest number of delegates?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : party (text) , party_id (number) | election : party (number) , election_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Show the people that have been governor the most times.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : governor (text) , party (text) , party_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "election", "question": "Which people severed as governor most frequently?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : governor (text) , party (text) , party_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "election", "question": "Show the people that have been comptroller the most times and the corresponding number of times.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : comptroller (text) , party (text) , party_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "election", "question": "Which people severed as comptroller most frequently? Give me the name of the person and the frequency count.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : comptroller (text) , party (text) , party_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "election", "question": "What are the names of parties that do not have delegates in election?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : party (text) , party_id (number) | election : party (number)", "shrink-score": 0.8421052631578947}
{"db_id": "election", "question": "Which parties did not have any delegates in elections?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : party (text) , party_id (number) | election : party (number)", "shrink-score": 0.8421052631578947}
{"db_id": "election", "question": "What are the names of parties that have both delegates on \"Appropriations\" committee and", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : party (text) , party_id (number) | election : party (number) , committee (text)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Which parties have delegates in both the \"Appropriations\" committee and the \"Economic Matters\" committee?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "party : party (text) , party_id (number) | election : party (number) , committee (text)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Which committees have delegates from both democratic party and liberal party?", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : committee (text) , party (number) | party : party (text) , party_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "election", "question": "Find the committees that have delegates both from from the democratic party and the liberal party.", "schema": "county : county_id (number) , county_name (text) , population (number) , zip_code (text) | party : party_id (number) , year (number) , party (text) , governor (text) , lieutenant_governor (text) , comptroller (text) , attorney_general (text) , us_senate (text) | election : election_id (number) , counties_represented (text) , district (number) , delegate (text) , party (number) , first_elected (number) , committee (text)", "summarized-schema": "election : committee (text) , party (number) | party : party (text) , party_id (number)", "shrink-score": 0.7894736842105263}
{"db_id": "news_report", "question": "How many journalists are there?", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "journalist : journalist_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "news_report", "question": "List the names of journalists in ascending order of years working.", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "journalist : name (text) , years_working (number)", "shrink-score": 0.8461538461538461}
{"db_id": "news_report", "question": "What are the nationalities and ages of journalists?", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "journalist : nationality (text) , age (text)", "shrink-score": 0.8461538461538461}
{"db_id": "news_report", "question": "Show the names of journalists from \"England\" or \"Wales\".", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "journalist : name (text) , nationality (text)", "shrink-score": 0.8461538461538461}
{"db_id": "news_report", "question": "What is the average number of years spent working as a journalist?", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "journalist : years_working (number)", "shrink-score": 0.9230769230769231}
{"db_id": "news_report", "question": "What is the nationality of the journalist with the largest number of years working?", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "journalist : nationality (text) , years_working (number)", "shrink-score": 0.8461538461538461}
{"db_id": "news_report", "question": "Show the different nationalities and the number of journalists of each nationality.", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "journalist : nationality (text) , journalist_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "news_report", "question": "Show the most common nationality for journalists.", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "journalist : nationality (text) , journalist_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "news_report", "question": "Show the nations that have both journalists with more than 10 years of working and journalists with less than 3 years of working.", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "journalist : nationality (text) , years_working (number)", "shrink-score": 0.8461538461538461}
{"db_id": "news_report", "question": "Show the dates, places, and names of events in descending order of the attendance.", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "event : date (text) , name (text) , venue (text) , event_attendance (number)", "shrink-score": 0.6923076923076923}
{"db_id": "news_report", "question": "Show the names of journalists and the dates of the events they reported.", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "event : name (text) , date (text) , event_id (number) | journalist : name (text) , journalist_id (number) | news_report : event_id (number) , journalist_id (number)", "shrink-score": 0.46153846153846156}
{"db_id": "news_report", "question": "Show the names of journalists and the names of the events they reported in ascending order", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "event : name (text) , event_id (number) , event_attendance (number) | journalist : name (text) , journalist_id (number) | news_report : event_id (number) , journalist_id (number)", "shrink-score": 0.46153846153846156}
{"db_id": "news_report", "question": "Show the names of journalists and the number of events they reported.", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "event : name (text) , event_id (number) | journalist : name (text) , journalist_id (number) | news_report : event_id (number) , journalist_id (number)", "shrink-score": 0.5384615384615384}
{"db_id": "news_report", "question": "Show the names of journalists that have reported more than one event.", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "event : name (text) , event_id (number) | journalist : name (text) , journalist_id (number) | news_report : event_id (number) , journalist_id (number)", "shrink-score": 0.5384615384615384}
{"db_id": "news_report", "question": "List the names of journalists who have not reported any event.", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "journalist : name (text) , journalist_id (number) | news_report : journalist_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "news_report", "question": "what are the average and maximum attendances of all events?", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "event : event_attendance (number)", "shrink-score": 0.9230769230769231}
{"db_id": "news_report", "question": "Find the average age and experience working length of journalists working on different role type.", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "journalist : age (text) , years_working (number) , journalist_id (number) | news_report : work_type (text) , journalist_id (number)", "shrink-score": 0.6153846153846154}
{"db_id": "news_report", "question": "List the event venues and names that have the top 2 most number of people attended.", "schema": "event : event_id (number) , date (text) , venue (text) , name (text) , event_attendance (number) | journalist : journalist_id (number) , name (text) , nationality (text) , age (text) , years_working (number) | news_report : journalist_id (number) , event_id (number) , work_type (text)", "summarized-schema": "event : venue (text) , name (text) , event_attendance (number)", "shrink-score": 0.7692307692307693}
{"db_id": "restaurant_1", "question": "Show me all the restaurants.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "restaurant : resname (text)", "shrink-score": 0.9523809523809523}
{"db_id": "restaurant_1", "question": "What is the address of the restaurant Subway?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "restaurant : address (text) , resname (text)", "shrink-score": 0.9047619047619048}
{"db_id": "restaurant_1", "question": "What is the rating of the restaurant Subway?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "restaurant : rating (number) , resname (text)", "shrink-score": 0.9047619047619048}
{"db_id": "restaurant_1", "question": "List all restaurant types.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "restaurant_type : restypename (text)", "shrink-score": 0.9523809523809523}
{"db_id": "restaurant_1", "question": "What is the description of the restaurant type Sandwich?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "restaurant_type : restypedescription (text) , restypename (text)", "shrink-score": 0.9047619047619048}
{"db_id": "restaurant_1", "question": "Which restaurants have highest rating? List the restaurant name and its rating.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "restaurant : resname (text) , rating (number)", "shrink-score": 0.9047619047619048}
{"db_id": "restaurant_1", "question": "What is the age of student Linda Smith?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "student : age (number) , fname (text) , lname (text)", "shrink-score": 0.8571428571428571}
{"db_id": "restaurant_1", "question": "What is the gender of the student Linda Smith?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "student : sex (text) , fname (text) , lname (text)", "shrink-score": 0.8571428571428571}
{"db_id": "restaurant_1", "question": "List all students' first names and last names who majored in 600.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "student : fname (text) , lname (text) , major (number)", "shrink-score": 0.8571428571428571}
{"db_id": "restaurant_1", "question": "Which city does student Linda Smith live in?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "student : city_code (text) , fname (text) , lname (text)", "shrink-score": 0.8571428571428571}
{"db_id": "restaurant_1", "question": "Advisor 1121 has how many students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.9047619047619048}
{"db_id": "restaurant_1", "question": "Which Advisor has most of students? List advisor and the number of students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.9047619047619048}
{"db_id": "restaurant_1", "question": "Which major has least number of students? List the major and the number of students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "student : major (number) , stuid (number)", "shrink-score": 0.9047619047619048}
{"db_id": "restaurant_1", "question": "Which major has between 2 and 30 number of students? List major and the number of students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "student : major (number) , stuid (number)", "shrink-score": 0.9047619047619048}
{"db_id": "restaurant_1", "question": "Which student's age is older than 18 and is majoring in 600? List each student's first and last name.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "student : fname (text) , lname (text) , age (number) , major (number)", "shrink-score": 0.8095238095238095}
{"db_id": "restaurant_1", "question": "List all female students age is older than 18 who is not majoring in 600. List students' first name and last name.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "student : fname (text) , lname (text) , age (number) , major (number) , sex (text)", "shrink-score": 0.7619047619047619}
{"db_id": "restaurant_1", "question": "How many restaurant is the Sandwich type restaurant?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "restaurant : resid (number) | restaurant_type : restypeid (number)", "shrink-score": 0.9047619047619048}
{"db_id": "restaurant_1", "question": "How long does student Linda Smith spend on the restaurant in total?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "visits_restaurant : spent (number)", "shrink-score": 0.9523809523809523}
{"db_id": "restaurant_1", "question": "How many times has the student Linda Smith visited Subway?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "student : stuid (number) | restaurant : resid (number)", "shrink-score": 0.9047619047619048}
{"db_id": "restaurant_1", "question": "When did Linda Smith visit Subway?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "visits_restaurant : time (time)", "shrink-score": 0.9523809523809523}
{"db_id": "restaurant_1", "question": "Which student visited restaurant most often? List student's first name and last name.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | restaurant : resid (number) , resname (text) , address (text) , rating (number) | type_of_restaurant : resid (number) , restypeid (number) | restaurant_type : restypeid (number) , restypename (text) , restypedescription (text) | visits_restaurant : stuid (number) , resid (number) , time (time) , spent (number)", "summarized-schema": "student : stuid (number)", "shrink-score": 0.9523809523809523}
{"db_id": "customer_deliveries", "question": "Find the ids of orders whose status is 'Success'.", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "actual_orders : actual_order_id (number) , order_status_code (text)", "shrink-score": 0.9607843137254902}
{"db_id": "customer_deliveries", "question": "Find the name and price of the product that has been ordered the greatest number of times.", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "products : product_name (text) , product_price (number) , product_id (number) | regular_order_products : product_id (number)", "shrink-score": 0.9215686274509803}
{"db_id": "customer_deliveries", "question": "Find the number of customers in total.", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "customers : customer_id (number)", "shrink-score": 0.9803921568627451}
{"db_id": "customer_deliveries", "question": "How many different payment methods are there?", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "customers : payment_method (text)", "shrink-score": 0.9803921568627451}
{"db_id": "customer_deliveries", "question": "Show the details of all trucks in the order of their license number.", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "trucks : truck_details (text) , truck_licence_number (text)", "shrink-score": 0.9607843137254902}
{"db_id": "customer_deliveries", "question": "Find the name of the most expensive product.", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "products : product_name (text) , product_price (number)", "shrink-score": 0.9607843137254902}
{"db_id": "customer_deliveries", "question": "Find the names of customers who are not living in the state of California.", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_addresses : customer_id (number) , address_id (number) | addresses : address_id (number) , state_province_county (text)", "shrink-score": 0.8823529411764706}
{"db_id": "customer_deliveries", "question": "List the names and emails of customers who payed by Visa card.", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "customers : customer_email (text) , customer_name (text) , payment_method (text)", "shrink-score": 0.9411764705882353}
{"db_id": "customer_deliveries", "question": "Find the names and phone numbers of customers living in California state.", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "customers : customer_name (text) , customer_phone (text) , customer_id (number) | customer_addresses : customer_id (number) , address_id (number) | addresses : address_id (number) , state_province_county (text)", "shrink-score": 0.8627450980392157}
{"db_id": "customer_deliveries", "question": "Find the states which do not have any employee in their record.", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "addresses : state_province_county (text) , address_id (number) | employees : employee_address_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "customer_deliveries", "question": "List the names, phone numbers, and emails of all customers sorted by their dates of becoming customers.", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "customers : customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time)", "shrink-score": 0.9215686274509803}
{"db_id": "customer_deliveries", "question": "Find the name of the first 5 customers.", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "customers : customer_name (text) , date_became_customer (time)", "shrink-score": 0.9607843137254902}
{"db_id": "customer_deliveries", "question": "Find the payment method that is used most frequently.", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "customers : payment_method (text) , customer_id (number)", "shrink-score": 0.9607843137254902}
{"db_id": "customer_deliveries", "question": "List the names of all routes in alphabetic order.", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "delivery_routes : route_name (text)", "shrink-score": 0.9803921568627451}
{"db_id": "customer_deliveries", "question": "Find the name of route that has the highest number of deliveries.", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "delivery_routes : route_name (text) , route_id (number) | delivery_route_locations : route_id (number) , location_code (text)", "shrink-score": 0.9215686274509803}
{"db_id": "customer_deliveries", "question": "List the state names and the number of customers living in each state.", "schema": "products : product_id (number) , product_name (text) , product_price (number) , product_description (text) | addresses : address_id (number) , address_details (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , date_became_customer (time) | regular_orders : regular_order_id (number) , distributer_id (number) | regular_order_products : regular_order_id (number) , product_id (number) | actual_orders : actual_order_id (number) , order_status_code (text) , regular_order_id (number) , actual_order_date (time) | actual_order_products : actual_order_id (number) , product_id (number) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , address_type (text) , date_to (time) | delivery_routes : route_id (number) , route_name (text) , other_route_details (text) | delivery_route_locations : location_code (text) , route_id (number) , location_address_id (number) , location_name (text) | trucks : truck_id (number) , truck_licence_number (text) , truck_details (text) | employees : employee_id (number) , employee_address_id (number) , employee_name (text) , employee_phone (text) | order_deliveries : location_code (text) , actual_order_id (number) , delivery_status_code (text) , driver_employee_id (number) , truck_id (number) , delivery_date (time)", "summarized-schema": "addresses : state_province_county (text) , address_id (number) | customer_addresses : address_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "icfp_1", "question": "How many authors are there?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : authid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "icfp_1", "question": "Count the number of authors.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : authid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "icfp_1", "question": "How many institutions are there?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "inst : instid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "icfp_1", "question": "Count the number of institutions.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "inst : instid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "icfp_1", "question": "How many papers are published in total?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : paperid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "icfp_1", "question": "Count the number of total papers.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : paperid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "icfp_1", "question": "What are the titles of papers published by \"Jeremy Gibbons\"?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authors : authid (number) , fname (text) , lname (text) | authorship : authid (number) , paperid (number)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "Find the titles of all the papers written by \"Jeremy Gibbons\"", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authors : authid (number) , fname (text) , lname (text) | authorship : authid (number) , paperid (number)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "Find all the papers published by \"Aaron Turon\".", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authors : authid (number) , fname (text) , lname (text) | authorship : authid (number) , paperid (number)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "Find the titles of all the papers written by \"Aaron Turon\".", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authors : authid (number) , fname (text) , lname (text) | authorship : authid (number) , paperid (number)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "How many papers have \"Atsushi Ohori\" published?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : authid (number) , fname (text) , lname (text) | authorship : authid (number) , paperid (number) | papers : paperid (number)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "How many papers are \"Atsushi Ohori\" the author of?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : authid (number) , fname (text) , lname (text) | authorship : authid (number) , paperid (number) | papers : paperid (number)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "What is the name of the institution that \"Matthias Blume\" belongs to?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "inst : name (text) , instid (number) | authors : authid (number) , fname (text) , lname (text) | authorship : authid (number) , instid (number)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "Which institution is the author \"Matthias Blume\" belong to? Give me the name of the institution.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "inst : name (text) , instid (number) | authors : authid (number) , fname (text) , lname (text) | authorship : authid (number) , instid (number)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "Which institution does \"Katsuhiro Ueno\" belong to?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "inst : name (text) , instid (number) | authors : authid (number) , fname (text) , lname (text) | authorship : authid (number) , instid (number)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "What is the name of the institution the author \"Katsuhiro Ueno\" belongs to?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "inst : name (text) , instid (number) | authors : authid (number) , fname (text) , lname (text) | authorship : authid (number) , instid (number)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "Who belong to the institution \"University of Oxford\"? Show the first names and last names.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : fname (text) , lname (text) , authid (number) | authorship : authid (number) , instid (number) | inst : instid (number) , name (text)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "Find the first names and last names of the authors whose institution affiliation is \"University of Oxford\".", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : fname (text) , lname (text) , authid (number) | authorship : authid (number) , instid (number) | inst : instid (number) , name (text)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "Which authors belong to the institution \"Google\"? Show the first names and last names.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : fname (text) , lname (text) , authid (number) | authorship : authid (number) , instid (number) | inst : instid (number) , name (text)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "Find the first names and last names of the authors whose institution affiliation is \"Google\".", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : fname (text) , lname (text) , authid (number) | authorship : authid (number) , instid (number) | inst : instid (number) , name (text)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "What are the last names of the author of the paper titled \"Binders Unbound\"?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : lname (text) , authid (number) | authorship : authid (number) , paperid (number) | papers : paperid (number) , title (text)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Who is the author of the paper titled \"Binders Unbound\"? Give me the last name.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : lname (text) , authid (number) | authorship : authid (number) , paperid (number) | papers : paperid (number) , title (text)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Find the first and last name of the author(s) who wrote the paper \"Nameless, Painless\".", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : fname (text) , lname (text) , authid (number) | authorship : authid (number) , paperid (number) | papers : paperid (number) , title (text)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "What are the first and last name of the author who published the paper titled \"Nameless, Painless\"?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : fname (text) , lname (text) , authid (number) | authorship : authid (number) , paperid (number) | papers : paperid (number) , title (text)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "What are the papers published under the institution \"Indiana University\"?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authorship : paperid (number) , instid (number) | inst : instid (number) , name (text)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "List the titles of the papers whose authors are from the institution \"Indiana University\".", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authorship : paperid (number) , instid (number) | inst : instid (number) , name (text)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Find all the papers published by the institution \"Google\".", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authorship : paperid (number) , instid (number) | inst : instid (number) , name (text)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Which papers were written by authors from the institution \"Google\"?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authorship : paperid (number) , instid (number) | inst : instid (number) , name (text)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "How many papers are published by the institution \"Tokohu University\"?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authorship : paperid (number) , instid (number) | inst : instid (number) , name (text)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Find the number of papers published by authors from the institution \"Tokohu University\".", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authorship : paperid (number) , instid (number) | inst : instid (number) , name (text)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Find the number of papers published by the institution \"University of Pennsylvania\".", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authorship : paperid (number) , instid (number) | inst : instid (number) , name (text)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "How many papers are written by authors from the institution \"University of Pennsylvania\"?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authorship : paperid (number) , instid (number) | inst : instid (number) , name (text)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Find the papers which have \"Olin Shivers\" as an author.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authors : authid (number) , fname (text) , lname (text) | authorship : authid (number) , paperid (number)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "Which papers did the author \"Olin Shivers\" write? Give me the paper titles.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authors : authid (number) , fname (text) , lname (text) | authorship : authid (number) , paperid (number)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "Which papers have \"Stephanie Weirich\" as an author?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authors : authid (number) , fname (text) , lname (text) | authorship : authid (number) , paperid (number)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "Find the titles of the papers the author \"Stephanie Weirich\" wrote.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authors : authid (number) , fname (text) , lname (text) | authorship : authid (number) , paperid (number)", "shrink-score": 0.4166666666666667}
{"db_id": "icfp_1", "question": "Which paper is published in an institution in \"USA\" and have \"Turon\" as its second author?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authors : authid (number) , lname (text) | authorship : authid (number) , paperid (number) , instid (number) , authorder (number) | inst : instid (number) , country (text)", "shrink-score": 0.16666666666666666}
{"db_id": "icfp_1", "question": "Find papers whose second author has last name \"Turon\" and is affiliated with an institution in the country \"USA\".", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authors : authid (number) , lname (text) | authorship : authid (number) , paperid (number) , instid (number) , authorder (number) | inst : instid (number) , country (text)", "shrink-score": 0.16666666666666666}
{"db_id": "icfp_1", "question": "Find the titles of papers whose first author is affiliated with an institution in the country \"Japan\" and has last name \"Ohori\"?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authors : authid (number) , lname (text) | authorship : authid (number) , paperid (number) , instid (number) , authorder (number) | inst : instid (number) , country (text)", "shrink-score": 0.16666666666666666}
{"db_id": "icfp_1", "question": "Which papers' first author is affiliated with an institution in the country \"Japan\" and has last name \"Ohori\"? Give me the titles of the papers.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authors : authid (number) , lname (text) | authorship : authid (number) , paperid (number) , instid (number) , authorder (number) | inst : instid (number) , country (text)", "shrink-score": 0.16666666666666666}
{"db_id": "icfp_1", "question": "What is the last name of the author that has published the most papers?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : lname (text) , authid (number) , fname (text) | authorship : authid (number) , paperid (number) | papers : paperid (number)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Which author has written the most papers? Find his or her last name.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : lname (text) , authid (number) , fname (text) | authorship : authid (number) , paperid (number) | papers : paperid (number)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Retrieve the country that has published the most papers.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "inst : country (text) , instid (number) | authorship : instid (number) , paperid (number) , authid (number) | papers : paperid (number)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Find the country that the most papers are affiliated with.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "inst : country (text) , instid (number) | authorship : instid (number) , paperid (number) , authid (number) | papers : paperid (number)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Find the name of the organization that has published the largest number of papers.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "inst : name (text) , instid (number) | authorship : instid (number) , paperid (number) , authid (number) | papers : paperid (number)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Which institution has the most papers? Find the name of the institution.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "inst : name (text) , instid (number) | authorship : instid (number) , paperid (number) , authid (number) | papers : paperid (number)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Find the titles of the papers that contain the word \"ML\".", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text)", "shrink-score": 0.9166666666666666}
{"db_id": "icfp_1", "question": "Which papers have the substring \"ML\" in their titles? Return the titles of the papers.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text)", "shrink-score": 0.9166666666666666}
{"db_id": "icfp_1", "question": "Which paper's title contains the word \"Database\"?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text)", "shrink-score": 0.9166666666666666}
{"db_id": "icfp_1", "question": "Which papers have the substring \"Database\" in their titles? Show the titles of the papers.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text)", "shrink-score": 0.9166666666666666}
{"db_id": "icfp_1", "question": "Find the first names of all the authors who have written a paper with title containing the word \"Functional\".", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : fname (text) , authid (number) | authorship : authid (number) , paperid (number) | papers : paperid (number) , title (text)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Who has written a paper that has the word \"Functional\" in its title? Return the first names of the authors.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : fname (text) , authid (number) | authorship : authid (number) , paperid (number) | papers : paperid (number) , title (text)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Find the last names of all the authors that have written a paper with title containing the word \"Monadic\".", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : lname (text) , authid (number) | authorship : authid (number) , paperid (number) | papers : paperid (number) , title (text)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Which authors have written a paper with title containing the word \"Monadic\"? Return their last names.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : lname (text) , authid (number) | authorship : authid (number) , paperid (number) | papers : paperid (number) , title (text)", "shrink-score": 0.5}
{"db_id": "icfp_1", "question": "Retrieve the title of the paper that has the largest number of authors.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authorship : paperid (number) , authorder (number)", "shrink-score": 0.6666666666666666}
{"db_id": "icfp_1", "question": "Which paper has the most authors? Give me the paper title.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "papers : title (text) , paperid (number) | authorship : paperid (number) , authorder (number)", "shrink-score": 0.6666666666666666}
{"db_id": "icfp_1", "question": "What is the first name of the author with last name \"Ueno\"?", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : fname (text) , lname (text)", "shrink-score": 0.8333333333333334}
{"db_id": "icfp_1", "question": "Which authors have last name \"Ueno\"? List their first names.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : fname (text) , lname (text)", "shrink-score": 0.8333333333333334}
{"db_id": "icfp_1", "question": "Find the last name of the author with first name \"Amal\".", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : lname (text) , fname (text)", "shrink-score": 0.8333333333333334}
{"db_id": "icfp_1", "question": "Which authors have first name \"Amal\"? List their last names.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : lname (text) , fname (text)", "shrink-score": 0.8333333333333334}
{"db_id": "icfp_1", "question": "Find the first names of all the authors ordered in alphabetical order.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : fname (text)", "shrink-score": 0.9166666666666666}
{"db_id": "icfp_1", "question": "Sort the first names of all the authors in alphabetical order.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : fname (text)", "shrink-score": 0.9166666666666666}
{"db_id": "icfp_1", "question": "Retrieve all the last names of authors in alphabetical order.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : lname (text)", "shrink-score": 0.9166666666666666}
{"db_id": "icfp_1", "question": "Give me a list of all the last names of authors sorted in alphabetical order", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : lname (text)", "shrink-score": 0.9166666666666666}
{"db_id": "icfp_1", "question": "Retrieve all the first and last names of authors in the alphabetical order of last names.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : fname (text) , lname (text)", "shrink-score": 0.8333333333333334}
{"db_id": "icfp_1", "question": "Sort the list of all the first and last names of authors in alphabetical order of the last names.", "schema": "inst : instid (number) , name (text) , country (text) | authors : authid (number) , lname (text) , fname (text) | papers : paperid (number) , title (text) | authorship : authid (number) , instid (number) , paperid (number) , authorder (number)", "summarized-schema": "authors : fname (text) , lname (text)", "shrink-score": 0.8333333333333334}
{"db_id": "sakila_1", "question": "How many different last names do the actors and actresses have?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "actor : last_name (text)", "shrink-score": 0.9887640449438202}
{"db_id": "sakila_1", "question": "Count the number of different last names actors have.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "actor : last_name (text)", "shrink-score": 0.9887640449438202}
{"db_id": "sakila_1", "question": "What is the most popular first name of the actors?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "actor : first_name (text) , actor_id (number)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "Return the most common first name among all actors.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "actor : first_name (text) , actor_id (number)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "What is the most popular full name of the actors?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "actor : first_name (text) , last_name (text) , actor_id (number)", "shrink-score": 0.9662921348314607}
{"db_id": "sakila_1", "question": "Return the most common full name among all actors.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "actor : first_name (text) , last_name (text) , actor_id (number)", "shrink-score": 0.9662921348314607}
{"db_id": "sakila_1", "question": "Which districts have at least two addresses?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "address : district (text) , address (text) , address_id (number)", "shrink-score": 0.9662921348314607}
{"db_id": "sakila_1", "question": "Give the districts which have two or more addresses.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "address : district (text) , address (text) , address_id (number)", "shrink-score": 0.9662921348314607}
{"db_id": "sakila_1", "question": "What is the phone number and postal code of the address 1031 Daugavpils Parkway?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "address : phone (text) , postal_code (text) , address (text)", "shrink-score": 0.9662921348314607}
{"db_id": "sakila_1", "question": "Give the phone and postal code corresponding to the address '1031 Daugavpils Parkway'.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "address : phone (text) , postal_code (text) , address (text)", "shrink-score": 0.9662921348314607}
{"db_id": "sakila_1", "question": "Which city has the most addresses? List the city name, number of addresses, and city id.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "city : city (text) , city_id (number) | address : city_id (number) , address (text) , address_id (number)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "What are the city name, id, and number of addresses corresponding to the city with the most addressed?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "city : city (text) , city_id (number) | address : city_id (number) , address (text) , address_id (number)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "How many addresses are in the district of California?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "address : address (text) , district (text) , address_id (number)", "shrink-score": 0.9662921348314607}
{"db_id": "sakila_1", "question": "Count the number of addressed in the California district.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "address : address (text) , district (text) , address_id (number)", "shrink-score": 0.9662921348314607}
{"db_id": "sakila_1", "question": "Which film is rented at a fee of 0.99 and has less than 3 in the inventory? List the film title and id.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , film_id (number) , rental_rate (number) | inventory : film_id (number) , inventory_id (number)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "What are the title and id of the film which has a rental rate of 0.99 and an inventory of below 3?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , film_id (number) , rental_rate (number) | inventory : film_id (number) , inventory_id (number)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "How many cities are in Australia?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "city : city (text) , country_id (number) , city_id (number) | country : country (text) , country_id (number)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "Count the number of cities in Australia.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "city : city (text) , country_id (number) , city_id (number) | country : country (text) , country_id (number)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "Which countries have at least 3 cities?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "country : country (text) , country_id (number) | city : city (text) , country_id (number) , city_id (number)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "What are the countries that contain 3 or more cities?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "country : country (text) , country_id (number) | city : city (text) , country_id (number) , city_id (number)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "Find all the payment dates for the payments with an amount larger than 10 and the payments handled by a staff person with the first name Elsa.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "payment : payment_date (time) , amount (number) , staff_id (number) | staff : staff_id (number) , first_name (text)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "What are the payment dates for any payments that have an amount greater than 10 or were handled by a staff member with the first name Elsa?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "payment : payment_date (time) , amount (number) , staff_id (number) | staff : staff_id (number) , first_name (text)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "How many customers have an active value of 1?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "customer : active (boolean) , customer_id (number)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "Count the number of customers who are active.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "customer : active (boolean) , customer_id (number)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "Which film has the highest rental rate? And what is the rate?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , rental_rate (number)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "What are the title and rental rate of the film with the highest rental rate?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , rental_rate (number)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "Which film has the most number of actors or actresses? List the film name, film id and description.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , film_id (number) , description (text) | film_actor : film_id (number) , actor_id (number)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "What are the title, id, and description of the movie with the greatest number of actors?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , film_id (number) , description (text) | film_actor : film_id (number) , actor_id (number)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "Which film actor (actress) starred the most films? List his or her first name, last name and actor id.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "actor : first_name (text) , last_name (text) , actor_id (number) | film_actor : actor_id (number)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "Return the full name and id of the actor or actress who starred in the greatest number of films.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "actor : first_name (text) , last_name (text) , actor_id (number) | film_actor : actor_id (number)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "Which film actors (actresses) played a role in more than 30 films? List his or her first name and last name.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "actor : first_name (text) , last_name (text) , actor_id (number) | film_actor : actor_id (number)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "What are the full names of actors who had roles in more than 30 films?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "actor : first_name (text) , last_name (text) , actor_id (number) | film_actor : actor_id (number)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "Which store owns most items?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "inventory : store_id (number) , inventory_id (number)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "What is the id of the store that has the most items in inventory?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "inventory : store_id (number) , inventory_id (number)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "What is the total amount of all payments?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "payment : amount (number)", "shrink-score": 0.9887640449438202}
{"db_id": "sakila_1", "question": "Return the sum of all payment amounts.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "payment : amount (number)", "shrink-score": 0.9887640449438202}
{"db_id": "sakila_1", "question": "Which customer, who has made at least one payment, has spent the least money? List his or her first name, last name, and the id.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "customer : first_name (text) , last_name (text) , customer_id (number) | payment : customer_id (number) , amount (number)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "What is the full name and id of the customer who has the lowest total amount of payment?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "customer : first_name (text) , last_name (text) , customer_id (number) | payment : customer_id (number) , amount (number)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "What is the genre name of the film HUNGER ROOF?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "category : name (text) , category_id (number) | film_category : category_id (number) , film_id (number) | film : film_id (number) , title (text)", "shrink-score": 0.9325842696629213}
{"db_id": "sakila_1", "question": "Return the name of the category to which the film 'HUNGER ROOF' belongs.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "category : name (text) , category_id (number) | film_category : category_id (number) , film_id (number) | film : film_id (number) , title (text)", "shrink-score": 0.9325842696629213}
{"db_id": "sakila_1", "question": "How many films are there in each category? List the genre name, genre id and the count.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "category : name (text) , category_id (number) | film_category : category_id (number) , film_id (number)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "What are the names and ids of the different categories, and how many films are in each?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "category : name (text) , category_id (number) | film_category : category_id (number) , film_id (number)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "Which film has the most copies in the inventory? List both title and id.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , film_id (number) | inventory : film_id (number) , inventory_id (number)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "What is the title and id of the film that has the greatest number of copies in inventory?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , film_id (number) | inventory : film_id (number) , inventory_id (number)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "What is the film title and inventory id of the item in the inventory which was rented most frequently?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , film_id (number) | inventory : inventory_id (number) , film_id (number) | rental : inventory_id (number) , rental_id (number)", "shrink-score": 0.9325842696629213}
{"db_id": "sakila_1", "question": "Return the title and inventory id of the film that is rented most often.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , film_id (number) | inventory : inventory_id (number) , film_id (number) | rental : inventory_id (number) , rental_id (number)", "shrink-score": 0.9325842696629213}
{"db_id": "sakila_1", "question": "How many languages are in these films?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : language_id (number)", "shrink-score": 0.9887640449438202}
{"db_id": "sakila_1", "question": "Count the number of different languages in these films.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : language_id (number)", "shrink-score": 0.9887640449438202}
{"db_id": "sakila_1", "question": "What are all the movies rated as R? List the titles.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , rating (text)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "Return the titles of any movies with an R rating.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , rating (text)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "Where is store 1 located?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "address : address (text) , address_id (number) | store : address_id (number) , store_id (number)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "Return the address of store 1.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "address : address (text) , address_id (number) | store : address_id (number) , store_id (number)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "Which staff handled least number of payments? List the full name and the id.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "staff : first_name (text) , last_name (text) , staff_id (number) | payment : staff_id (number) , payment_id (number)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "Give the full name and staff id of the staff who has handled the fewest payments.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "staff : first_name (text) , last_name (text) , staff_id (number) | payment : staff_id (number) , payment_id (number)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "Which language does the film AIRPORT POLLOCK use? List the language name.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "language : name (text) , language_id (number) | film : language_id (number) , title (text)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "What is the name of the language that the film 'AIRPORT POLLOCK' is in?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "language : name (text) , language_id (number) | film : language_id (number) , title (text)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "How many stores are there?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "store : store_id (number)", "shrink-score": 0.9887640449438202}
{"db_id": "sakila_1", "question": "Count the number of stores.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "store : store_id (number)", "shrink-score": 0.9887640449438202}
{"db_id": "sakila_1", "question": "How many kinds of different ratings are listed?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : rating (text)", "shrink-score": 0.9887640449438202}
{"db_id": "sakila_1", "question": "Count the number of different film ratings.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : rating (text)", "shrink-score": 0.9887640449438202}
{"db_id": "sakila_1", "question": "Which movies have 'Deleted Scenes' as a substring in the special feature?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , special_features (text)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "Return the titles of films that include 'Deleted Scenes' in their special feature section.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , special_features (text)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "How many items in inventory does store 1 have?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "inventory : store_id (number) , inventory_id (number)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "Count the number of items store 1 has in stock.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "inventory : store_id (number) , inventory_id (number)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "When did the first payment happen?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "payment : payment_date (time)", "shrink-score": 0.9887640449438202}
{"db_id": "sakila_1", "question": "What was the date of the earliest payment?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "payment : payment_date (time)", "shrink-score": 0.9887640449438202}
{"db_id": "sakila_1", "question": "Where does the customer with the first name Linda live? And what is her email?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "address : address (text) , address_id (number) | customer : email (text) , address_id (number) , first_name (text)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "Return the address and email of the customer with the first name Linda.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "address : address (text) , address_id (number) | customer : email (text) , address_id (number) , first_name (text)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "Find all the films longer than 100 minutes, or rated PG, except those who cost more than 200 for replacement. List the titles.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , length (number) , rating (text) , replacement_cost (number)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "What are the titles of films that are either longer than 100 minutes or rated PG other than those that cost more than 200 to replace?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "film : title (text) , length (number) , rating (text) , replacement_cost (number)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "What is the first name and the last name of the customer who made the earliest rental?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "customer : first_name (text) , last_name (text) , customer_id (number) | rental : customer_id (number) , rental_date (time)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "Return the full name of the customer who made the first rental.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "customer : first_name (text) , last_name (text) , customer_id (number) | rental : customer_id (number) , rental_date (time)", "shrink-score": 0.9438202247191011}
{"db_id": "sakila_1", "question": "What is the full name of the staff member who has rented a film to a customer with the first name April and the last name Burns?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "customer : first_name (text) , last_name (text) , customer_id (number) | staff : first_name (text) , last_name (text) , staff_id (number) | rental : staff_id (number) , customer_id (number)", "shrink-score": 0.9101123595505618}
{"db_id": "sakila_1", "question": "Return the full name of the staff who provided a customer with the first name April and the last name Burns with a film rental.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "customer : first_name (text) , last_name (text) , customer_id (number) | staff : first_name (text) , last_name (text) , staff_id (number) | rental : staff_id (number) , customer_id (number)", "shrink-score": 0.9101123595505618}
{"db_id": "sakila_1", "question": "Which store has most the customers?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "customer : store_id (number) , customer_id (number)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "Return the id of the store with the most customers.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "customer : store_id (number) , customer_id (number)", "shrink-score": 0.9775280898876404}
{"db_id": "sakila_1", "question": "What is the largest payment amount?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "payment : amount (number)", "shrink-score": 0.9887640449438202}
{"db_id": "sakila_1", "question": "Return the amount of the largest payment.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "payment : amount (number)", "shrink-score": 0.9887640449438202}
{"db_id": "sakila_1", "question": "Where does the staff member with the first name Elsa live?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "address : address (text) , address_id (number) | staff : address_id (number) , first_name (text)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "Give the address of the staff member who has the first name Elsa.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "address : address (text) , address_id (number) | staff : address_id (number) , first_name (text)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "What are the first names of customers who have not rented any films after '2005-08-23 02:06:01'?", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "customer : first_name (text) , customer_id (number) | rental : customer_id (number) , rental_date (time)", "shrink-score": 0.9550561797752809}
{"db_id": "sakila_1", "question": "Return the first names of customers who did not rented a film after the date '2005-08-23 02:06:01'.", "schema": "actor : actor_id (number) , first_name (text) , last_name (text) , last_update (time) | address : address_id (number) , address (text) , address2 (text) , district (text) , city_id (number) , postal_code (text) , phone (text) , last_update (time) | category : category_id (number) , name (text) , last_update (time) | city : city_id (number) , city (text) , country_id (number) , last_update (time) | country : country_id (number) , country (text) , last_update (time) | customer : customer_id (number) , store_id (number) , first_name (text) , last_name (text) , email (text) , address_id (number) , active (boolean) , create_date (time) , last_update (time) | film : film_id (number) , title (text) , description (text) , release_year (time) , language_id (number) , original_language_id (number) , rental_duration (number) , rental_rate (number) , length (number) , replacement_cost (number) , rating (text) , special_features (text) , last_update (time) | film_actor : actor_id (number) , film_id (number) , last_update (time) | film_category : film_id (number) , category_id (number) , last_update (time) | film_text : film_id (number) , title (text) , description (text) | inventory : inventory_id (number) , film_id (number) , store_id (number) , last_update (time) | language : language_id (number) , name (text) , last_update (time) | payment : payment_id (number) , customer_id (number) , staff_id (number) , rental_id (number) , amount (number) , payment_date (time) , last_update (time) | rental : rental_id (number) , rental_date (time) , inventory_id (number) , customer_id (number) , return_date (time) , staff_id (number) , last_update (time) | staff : staff_id (number) , first_name (text) , last_name (text) , address_id (number) , picture (others) , email (text) , store_id (number) , active (boolean) , username (text) , password (text) , last_update (time) | store : store_id (number) , manager_staff_id (number) , address_id (number) , last_update (time)", "summarized-schema": "customer : first_name (text) , customer_id (number) | rental : customer_id (number) , rental_date (time)", "shrink-score": 0.9550561797752809}
{"db_id": "loan_1", "question": "How many bank branches are there?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : branch_id (number)", "shrink-score": 0.9444444444444444}
{"db_id": "loan_1", "question": "Count the number of bank branches.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : branch_id (number)", "shrink-score": 0.9444444444444444}
{"db_id": "loan_1", "question": "How many customers are there?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : no_of_customers (number)", "shrink-score": 0.9444444444444444}
{"db_id": "loan_1", "question": "What is the total number of customers across banks?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : no_of_customers (number)", "shrink-score": 0.9444444444444444}
{"db_id": "loan_1", "question": "Find the number of customers in the banks at New York City.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : no_of_customers (number) , city (text)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "What is the total number of customers who use banks in New York City?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : no_of_customers (number) , city (text)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "Find the average number of customers in all banks of Utah state.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : no_of_customers (number) , state (text)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "What is the average number of customers across banks in the state of Utah?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : no_of_customers (number) , state (text)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "Find the average number of customers cross all banks.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : no_of_customers (number)", "shrink-score": 0.9444444444444444}
{"db_id": "loan_1", "question": "What is the average number of bank customers?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : no_of_customers (number)", "shrink-score": 0.9444444444444444}
{"db_id": "loan_1", "question": "Find the city and state of the bank branch named morningside.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : city (text) , state (text) , bname (text)", "shrink-score": 0.8333333333333334}
{"db_id": "loan_1", "question": "What city and state is the bank with the name morningside in?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : city (text) , state (text) , bname (text)", "shrink-score": 0.8333333333333334}
{"db_id": "loan_1", "question": "Find the branch names of banks in the New York state.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : bname (text) , state (text)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "What are the names of banks in the state of New York?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : bname (text) , state (text)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "List the name of all customers sorted by their account balance in ascending order.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , acc_bal (number)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "What are the names of all customers, ordered by account balance?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , acc_bal (number)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "List the name of all different customers who have some loan sorted by their total loan amount.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , cust_id (text) | loan : cust_id (text) , amount (number)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "What are the names of the different customers who have taken out a loan, ordered by the total amount that they have taken?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , cust_id (text) | loan : cust_id (text) , amount (number)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "Find the state, account type, and credit score of the customer whose number of loan is 0.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : state (text) , acc_type (text) , credit_score (number) , no_of_loans (number)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "What are the states, account types, and credit scores for customers who have 0 loans?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : state (text) , acc_type (text) , credit_score (number) , no_of_loans (number)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "Find the number of different cities which banks are located at.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : city (text)", "shrink-score": 0.9444444444444444}
{"db_id": "loan_1", "question": "In how many different cities are banks located?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : city (text)", "shrink-score": 0.9444444444444444}
{"db_id": "loan_1", "question": "Find the number of different states which banks are located at.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : state (text)", "shrink-score": 0.9444444444444444}
{"db_id": "loan_1", "question": "In how many different states are banks located?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : state (text)", "shrink-score": 0.9444444444444444}
{"db_id": "loan_1", "question": "How many distinct types of accounts are there?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : acc_type (text)", "shrink-score": 0.9444444444444444}
{"db_id": "loan_1", "question": "Count the number of different account types.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : acc_type (text)", "shrink-score": 0.9444444444444444}
{"db_id": "loan_1", "question": "Find the name and account balance of the customer whose name includes the letter \u2018a\u2019.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , acc_bal (number)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "What are the names and account balances of customers with the letter a in their names?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , acc_bal (number)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "Find the total account balance of each customer from Utah or Texas.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : acc_bal (number) , state (text)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "What are the total account balances for each customer from Utah or Texas?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : acc_bal (number) , state (text)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "Find the name of customers who have both saving and checking account types.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , acc_type (text)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "What are the names of customers who have both savings and checking accounts?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , acc_type (text)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "Find the name of customers who do not have an saving account.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , acc_type (text)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "What are the names of customers who do not have saving accounts?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , acc_type (text)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "Find the name of customers who do not have a loan with a type of Mortgages.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , cust_id (text) | loan : cust_id (text) , loan_type (text)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "What are the names of customers who have not taken a Mortage loan?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , cust_id (text) | loan : cust_id (text) , loan_type (text)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "Find the name of customers who have loans of both Mortgages and Auto.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , cust_id (text) | loan : cust_id (text) , loan_type (text)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "What are the names of customers who have taken both Mortgage and Auto loans?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , cust_id (text) | loan : cust_id (text) , loan_type (text)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "Find the name of customers whose credit score is below the average credit scores of all customers.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , credit_score (number)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "What are the names of customers with credit score less than the average credit score across customers?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , credit_score (number)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "Find the branch name of the bank that has the most number of customers.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : bname (text) , no_of_customers (number)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "What is the name of the bank branch with the greatest number of customers?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : bname (text) , no_of_customers (number)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "Find the name of customer who has the lowest credit score.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , credit_score (number)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "What is the name of the customer with the worst credit score?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , credit_score (number)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "Find the name, account type, and account balance of the customer who has the highest credit score.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , acc_type (text) , acc_bal (number) , credit_score (number)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "What is the name, account type, and account balance corresponding to the customer with the highest credit score?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , acc_type (text) , acc_bal (number) , credit_score (number)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "Find the name of customer who has the highest amount of loans.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , cust_id (text) | loan : cust_id (text) , amount (number)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "What is the name of the customer who has greatest total loan amount?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , cust_id (text) | loan : cust_id (text) , amount (number)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "Find the state which has the most number of customers.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : state (text) , no_of_customers (number)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "Which state has the greatest total number of bank customers?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : state (text) , no_of_customers (number)", "shrink-score": 0.8888888888888888}
{"db_id": "loan_1", "question": "For each account type, find the average account balance of customers with credit score lower than 50.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : acc_bal (number) , acc_type (text) , credit_score (number)", "shrink-score": 0.8333333333333334}
{"db_id": "loan_1", "question": "What is the average account balance of customers with credit score below 50 for the different account types?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : acc_bal (number) , acc_type (text) , credit_score (number)", "shrink-score": 0.8333333333333334}
{"db_id": "loan_1", "question": "For each state, find the total account balance of customers whose credit score is above 100.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : acc_bal (number) , state (text) , credit_score (number)", "shrink-score": 0.8333333333333334}
{"db_id": "loan_1", "question": "What is the total account balance for customers with a credit score of above 100 for the different states?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : acc_bal (number) , state (text) , credit_score (number)", "shrink-score": 0.8333333333333334}
{"db_id": "loan_1", "question": "Find the total amount of loans offered by each bank branch.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "loan : amount (number) , branch_id (text) | bank : bname (text) , branch_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "What are the names of the different bank branches, and what are their total loan amounts?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "loan : amount (number) , branch_id (text) | bank : bname (text) , branch_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "Find the name of customers who have more than one loan.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , cust_id (text) | loan : cust_id (text) , loan_id (text)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "What are the names of customers who have taken out more than one loan?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , cust_id (text) | loan : cust_id (text) , loan_id (text)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "Find the name and account balance of the customers who have loans with a total amount of more than 5000.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , acc_type (text) , cust_id (text) | loan : cust_id (text) , amount (number)", "shrink-score": 0.7222222222222222}
{"db_id": "loan_1", "question": "What are the names and account balances for customers who have taken a total amount of more than 5000 in loans?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , acc_type (text) , cust_id (text) | loan : cust_id (text) , amount (number)", "shrink-score": 0.7222222222222222}
{"db_id": "loan_1", "question": "Find the name of bank branch that provided the greatest total amount of loans.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : bname (text) , branch_id (number) | loan : branch_id (text) , amount (number)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "What is the name of the bank branch that has lent the greatest amount?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : bname (text) , branch_id (number) | loan : branch_id (text) , amount (number)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "Find the name of bank branch that provided the greatest total amount of loans to customers with credit score is less than 100.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : bname (text) , branch_id (number) | customer : branch_id (number) , cust_id (text) , credit_score (number) | loan : branch_id (text) , cust_id (text) , amount (number)", "shrink-score": 0.5555555555555556}
{"db_id": "loan_1", "question": "What is the name of the bank branch that has lended the largest total amount in loans, specifically to customers with credit scores below 100?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : bname (text) , branch_id (number) | customer : branch_id (number) , cust_id (text) , credit_score (number) | loan : branch_id (text) , cust_id (text) , amount (number)", "shrink-score": 0.5555555555555556}
{"db_id": "loan_1", "question": "Find the name of bank branches that provided some loans.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : bname (text) , branch_id (number) | loan : branch_id (text)", "shrink-score": 0.8333333333333334}
{"db_id": "loan_1", "question": "What are the names of the different banks that have provided loans?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : bname (text) , branch_id (number) | loan : branch_id (text)", "shrink-score": 0.8333333333333334}
{"db_id": "loan_1", "question": "Find the name and credit score of the customers who have some loans.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , credit_score (number) , cust_id (text) | loan : cust_id (text)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "What are the different names and credit scores of customers who have taken a loan?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , credit_score (number) , cust_id (text) | loan : cust_id (text)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "Find the the name of the customers who have a loan with amount more than 3000.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , cust_id (text) | loan : cust_id (text) , amount (number)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "What are the names of customers who have a loan of more than 3000 in amount?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : cust_name (text) , cust_id (text) | loan : cust_id (text) , amount (number)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "Find the city and name of bank branches that provide business loans.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : bname (text) , city (text) , branch_id (number) | loan : branch_id (text) , loan_type (text)", "shrink-score": 0.7222222222222222}
{"db_id": "loan_1", "question": "What are the names and cities of bank branches that offer loans for business?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : bname (text) , city (text) , branch_id (number) | loan : branch_id (text) , loan_type (text)", "shrink-score": 0.7222222222222222}
{"db_id": "loan_1", "question": "Find the names of bank branches that have provided a loan to any customer whose credit score is below 100.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : bname (text) , branch_id (number) | customer : branch_id (number) , cust_id (text) , credit_score (number) | loan : branch_id (text) , cust_id (text)", "shrink-score": 0.6111111111111112}
{"db_id": "loan_1", "question": "What are the names of banks that have loaned money to customers with credit scores below 100?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "bank : bname (text) , branch_id (number) | customer : branch_id (number) , cust_id (text) , credit_score (number) | loan : branch_id (text) , cust_id (text)", "shrink-score": 0.6111111111111112}
{"db_id": "loan_1", "question": "Find the total amount of loans provided by bank branches in the state of New York.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "loan : amount (number) , branch_id (text) | bank : branch_id (number) , state (text)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "What is the total amount of money loaned by banks in New York state?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "loan : amount (number) , branch_id (text) | bank : branch_id (number) , state (text)", "shrink-score": 0.7777777777777778}
{"db_id": "loan_1", "question": "Find the average credit score of the customers who have some loan.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : credit_score (number) , cust_id (text) | loan : cust_id (text)", "shrink-score": 0.8333333333333334}
{"db_id": "loan_1", "question": "What is the average credit score for customers who have taken a loan?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : credit_score (number) , cust_id (text) | loan : cust_id (text)", "shrink-score": 0.8333333333333334}
{"db_id": "loan_1", "question": "Find the average credit score of the customers who do not have any loan.", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : credit_score (number) , cust_id (text) | loan : cust_id (text)", "shrink-score": 0.8333333333333334}
{"db_id": "loan_1", "question": "What is the average credit score for customers who have never taken a loan?", "schema": "bank : branch_id (number) , bname (text) , no_of_customers (number) , city (text) , state (text) | customer : cust_id (text) , cust_name (text) , acc_type (text) , acc_bal (number) , no_of_loans (number) , credit_score (number) , branch_id (number) , state (text) | loan : loan_id (text) , loan_type (text) , cust_id (text) , branch_id (text) , amount (number)", "summarized-schema": "customer : credit_score (number) , cust_id (text) | loan : cust_id (text)", "shrink-score": 0.8333333333333334}
{"db_id": "behavior_monitoring", "question": "What are the dates of the assessment notes?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "assessment_notes : date_of_notes (time)", "shrink-score": 0.984375}
{"db_id": "behavior_monitoring", "question": "How many addresses have zip code 197?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "addresses : zip_postcode (text) , address_id (number)", "shrink-score": 0.96875}
{"db_id": "behavior_monitoring", "question": "How many distinct incident type codes are there?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "behavior_incident : incident_type_code (text)", "shrink-score": 0.984375}
{"db_id": "behavior_monitoring", "question": "Return all distinct detention type codes.", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "detention : detention_type_code (text)", "shrink-score": 0.984375}
{"db_id": "behavior_monitoring", "question": "What are the start and end dates for incidents with incident type code \"NOISE\"?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "behavior_incident : date_incident_start (time) , date_incident_end (time) , incident_type_code (text)", "shrink-score": 0.953125}
{"db_id": "behavior_monitoring", "question": "Return all detention summaries.", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "detention : detention_summary (text)", "shrink-score": 0.984375}
{"db_id": "behavior_monitoring", "question": "Return the cell phone number and email address for all students.", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "students : cell_mobile_number (text) , email_address (text)", "shrink-score": 0.96875}
{"db_id": "behavior_monitoring", "question": "What is the email of the student with first name \"Emma\" and last name \"Rohan\"?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "students : email_address (text) , first_name (text) , last_name (text)", "shrink-score": 0.953125}
{"db_id": "behavior_monitoring", "question": "How many distinct students have been in detention?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "students_in_detention : student_id (number)", "shrink-score": 0.984375}
{"db_id": "behavior_monitoring", "question": "What is the gender of the teacher with last name \"Medhurst\"?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "teachers : gender (text) , last_name (text)", "shrink-score": 0.96875}
{"db_id": "behavior_monitoring", "question": "What is the incident type description for the incident type with code \"VIOLENCE\"?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "ref_incident_type : incident_type_description (text) , incident_type_code (text)", "shrink-score": 0.96875}
{"db_id": "behavior_monitoring", "question": "Find the maximum and minimum monthly rental for all student addresses.", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "student_addresses : monthly_rental (number)", "shrink-score": 0.984375}
{"db_id": "behavior_monitoring", "question": "Find the first names of teachers whose email address contains the word \"man\".", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "teachers : first_name (text) , email_address (text)", "shrink-score": 0.96875}
{"db_id": "behavior_monitoring", "question": "List all information about the assessment notes sorted by date in ascending order.", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "assessment_notes : date_of_notes (time)", "shrink-score": 0.984375}
{"db_id": "behavior_monitoring", "question": "List all cities of addresses in alphabetical order.", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "addresses : city (text)", "shrink-score": 0.984375}
{"db_id": "behavior_monitoring", "question": "Find the first names and last names of teachers in alphabetical order of last name.", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "teachers : first_name (text) , last_name (text)", "shrink-score": 0.96875}
{"db_id": "behavior_monitoring", "question": "Find all information about student addresses, and sort by monthly rental in descending order.", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "student_addresses : monthly_rental (number)", "shrink-score": 0.984375}
{"db_id": "behavior_monitoring", "question": "Find the id and first name of the student that has the most number of assessment notes?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "students : student_id (number) , first_name (text) | assessment_notes : student_id (number)", "shrink-score": 0.953125}
{"db_id": "behavior_monitoring", "question": "Find the ids and first names of the 3 teachers that have the most number of assessment notes?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "teachers : teacher_id (number) , first_name (text) | assessment_notes : teacher_id (number)", "shrink-score": 0.953125}
{"db_id": "behavior_monitoring", "question": "Find the id and last name of the student that has the most behavior incidents?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "students : student_id (number) , last_name (text) | behavior_incident : student_id (number) , incident_id (number)", "shrink-score": 0.9375}
{"db_id": "behavior_monitoring", "question": "Find the id and last name of the teacher that has the most detentions with detention type code \"AFTER\"?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "teachers : teacher_id (number) , last_name (text) | detention : teacher_id (number) , detention_type_code (text) , detention_id (number)", "shrink-score": 0.921875}
{"db_id": "behavior_monitoring", "question": "What are the id and first name of the student whose addresses have the highest average monthly rental?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "students : student_id (number) , first_name (text) | student_addresses : student_id (number) , monthly_rental (number)", "shrink-score": 0.9375}
{"db_id": "behavior_monitoring", "question": "Find the id and city of the student address with the highest average monthly rental.", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "addresses : address_id (number) , city (text) | student_addresses : address_id (number) , monthly_rental (number)", "shrink-score": 0.9375}
{"db_id": "behavior_monitoring", "question": "What are the code and description of the most frequent behavior incident type?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "ref_incident_type : incident_type_code (text) , incident_type_description (text) | behavior_incident : incident_type_code (text) , incident_id (number)", "shrink-score": 0.9375}
{"db_id": "behavior_monitoring", "question": "What are the code and description of the least frequent detention type ?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "ref_detention_type : detention_type_code (text) , detention_type_description (text) | detention : detention_type_code (text) , detention_id (number)", "shrink-score": 0.9375}
{"db_id": "behavior_monitoring", "question": "Find the dates of assessment notes for students with first name \"Fanny\".", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "assessment_notes : date_of_notes (time) , student_id (number) | students : student_id (number) , first_name (text)", "shrink-score": 0.9375}
{"db_id": "behavior_monitoring", "question": "Find the texts of assessment notes for teachers with last name \"Schuster\".", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "assessment_notes : text_of_notes (text) , teacher_id (number) | teachers : teacher_id (number) , last_name (text)", "shrink-score": 0.9375}
{"db_id": "behavior_monitoring", "question": "Find the start and end dates of behavior incidents of students with last name \"Fahey\".", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "behavior_incident : date_incident_start (time) , date_incident_end (time) , student_id (number) | students : student_id (number) , last_name (text)", "shrink-score": 0.921875}
{"db_id": "behavior_monitoring", "question": "Find the start and end dates of detentions of teachers with last name \"Schultz\".", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "detention : datetime_detention_start (time) , datetime_detention_end (time) , teacher_id (number) | teachers : teacher_id (number) , last_name (text)", "shrink-score": 0.921875}
{"db_id": "behavior_monitoring", "question": "What are the id and zip code of the address with the highest monthly rental?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "addresses : address_id (number) , zip_postcode (text) | student_addresses : address_id (number) , monthly_rental (number)", "shrink-score": 0.9375}
{"db_id": "behavior_monitoring", "question": "What is the cell phone number of the student whose address has the lowest monthly rental?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "students : cell_mobile_number (text) , student_id (number) | student_addresses : student_id (number) , monthly_rental (number)", "shrink-score": 0.9375}
{"db_id": "behavior_monitoring", "question": "What are the monthly rentals of student addresses in Texas state?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "student_addresses : monthly_rental (number) , address_id (number) | addresses : address_id (number) , state_province_county (text)", "shrink-score": 0.9375}
{"db_id": "behavior_monitoring", "question": "What are the first names and last names of students with address in Wisconsin state?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "students : first_name (text) , last_name (text) , address_id (number) | addresses : address_id (number) , state_province_county (text)", "shrink-score": 0.921875}
{"db_id": "behavior_monitoring", "question": "What are the line 1 and average monthly rentals of all student addresses?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "addresses : line_1 (text) , address_id (number) | student_addresses : monthly_rental (number) , address_id (number)", "shrink-score": 0.9375}
{"db_id": "behavior_monitoring", "question": "What is the zip code of the address where the teacher with first name \"Lyla\" lives?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "addresses : zip_postcode (text) , address_id (number) | teachers : address_id (number) , first_name (text)", "shrink-score": 0.9375}
{"db_id": "behavior_monitoring", "question": "What are the email addresses of teachers whose address has zip code \"918\"?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "teachers : email_address (text) , address_id (number) | addresses : address_id (number) , zip_postcode (text)", "shrink-score": 0.9375}
{"db_id": "behavior_monitoring", "question": "How many students are not involved in any behavior incident?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "students : student_id (number) | behavior_incident : student_id (number) , incident_id (number)", "shrink-score": 0.953125}
{"db_id": "behavior_monitoring", "question": "Find the last names of teachers who are not involved in any detention.", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "teachers : last_name (text) , teacher_id (number) | detention : teacher_id (number)", "shrink-score": 0.953125}
{"db_id": "behavior_monitoring", "question": "What are the line 1 of addresses shared by some students and some teachers?", "schema": "ref_address_types : address_type_code (text) , address_type_description (text) | ref_detention_type : detention_type_code (text) , detention_type_description (text) | ref_incident_type : incident_type_code (text) , incident_type_description (text) | addresses : address_id (number) , line_1 (text) , line_2 (text) , line_3 (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | students : student_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , cell_mobile_number (text) , email_address (text) , date_first_rental (time) , date_left_university (time) , other_student_details (text) | teachers : teacher_id (number) , address_id (number) , first_name (text) , middle_name (text) , last_name (text) , gender (text) , cell_mobile_number (text) , email_address (text) , other_details (text) | assessment_notes : notes_id (number) , student_id (number) , teacher_id (number) , date_of_notes (time) , text_of_notes (text) , other_details (text) | behavior_incident : incident_id (number) , incident_type_code (text) , student_id (number) , date_incident_start (time) , date_incident_end (time) , incident_summary (text) , recommendations (text) , other_details (text) | detention : detention_id (number) , detention_type_code (text) , teacher_id (number) , datetime_detention_start (time) , datetime_detention_end (time) , detention_summary (text) , other_details (text) | student_addresses : student_id (number) , address_id (number) , date_address_from (time) , date_address_to (time) , monthly_rental (number) , other_details (text) | students_in_detention : student_id (number) , detention_id (number) , incident_id (number)", "summarized-schema": "addresses : line_1 (text) , address_id (number) | students : address_id (number) | teachers : address_id (number)", "shrink-score": 0.9375}
{"db_id": "assets_maintenance", "question": "Which assets have 2 parts and have less than 2 fault logs? List the asset id and detail.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "assets : asset_id (number) , asset_details (text) | asset_parts : asset_id (number) | fault_log : asset_id (number) , fault_log_entry_id (number)", "shrink-score": 0.921875}
{"db_id": "assets_maintenance", "question": "How many assets does each maintenance contract contain? List the number and the contract id.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "maintenance_contracts : maintenance_contract_id (number) | assets : maintenance_contract_id (number) , asset_id (number)", "shrink-score": 0.953125}
{"db_id": "assets_maintenance", "question": "How many assets does each third party company supply? List the count and the company id.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "third_party_companies : company_id (number) | assets : supplier_company_id (number) , asset_id (number)", "shrink-score": 0.953125}
{"db_id": "assets_maintenance", "question": "Which third party companies have at least 2 maintenance engineers or have at least 2 maintenance contracts? List the company id and name.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "third_party_companies : company_id (number) , company_name (text) | maintenance_engineers : company_id (number) , engineer_id (number) | maintenance_contracts : maintenance_contract_company_id (number) , maintenance_contract_id (number)", "shrink-score": 0.90625}
{"db_id": "assets_maintenance", "question": "What is the name and id of the staff who recorded the fault log but has not contacted any visiting engineers?", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "staff : staff_name (text) , staff_id (number) | fault_log : recorded_by_staff_id (number) | engineer_visits : contact_staff_id (number)", "shrink-score": 0.9375}
{"db_id": "assets_maintenance", "question": "Which engineer has visited the most times? Show the engineer id, first name and last name.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "maintenance_engineers : engineer_id (number) , first_name (text) , last_name (text) | engineer_visits : engineer_id (number) , engineer_visit_id (number)", "shrink-score": 0.921875}
{"db_id": "assets_maintenance", "question": "Which parts have more than 2 faults? Show the part name and id.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "parts : part_name (text) , part_id (number) | part_faults : part_id (number) , part_fault_id (number)", "shrink-score": 0.9375}
{"db_id": "assets_maintenance", "question": "List all every engineer's first name, last name, details and coresponding skill description.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "maintenance_engineers : first_name (text) , last_name (text) , other_details (text) , engineer_id (number) | skills : skill_description (text) , skill_id (number) | engineer_skills : engineer_id (number) , skill_id (number)", "shrink-score": 0.875}
{"db_id": "assets_maintenance", "question": "For all the faults of different parts, what are all the decriptions of the skills required to fix them? List the name of the faults and the skill description.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "part_faults : fault_short_name (text) , part_fault_id (number) | skills : skill_description (text) , skill_id (number) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "shrink-score": 0.90625}
{"db_id": "assets_maintenance", "question": "How many assets can each parts be used in? List the part name and the number.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "parts : part_name (text) , part_id (number) | asset_parts : part_id (number)", "shrink-score": 0.953125}
{"db_id": "assets_maintenance", "question": "What are all the fault descriptions and the fault status of all the faults recoreded in the logs?", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "fault_log : fault_description (text) , fault_log_entry_id (number) | fault_log_parts : fault_status (text) , fault_log_entry_id (number)", "shrink-score": 0.9375}
{"db_id": "assets_maintenance", "question": "How many engineer visits are required at most for a single fault log? List the number and the log entry id.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "fault_log : fault_log_entry_id (number) | engineer_visits : fault_log_entry_id (number) , engineer_visit_id (number)", "shrink-score": 0.953125}
{"db_id": "assets_maintenance", "question": "What are all the distinct last names of all the engineers?", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "maintenance_engineers : last_name (text)", "shrink-score": 0.984375}
{"db_id": "assets_maintenance", "question": "How many fault status codes are recorded in the fault log parts table?", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "fault_log_parts : fault_status (text)", "shrink-score": 0.984375}
{"db_id": "assets_maintenance", "question": "Which engineers have never visited to maintain the assets? List the engineer first name and last name.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "maintenance_engineers : first_name (text) , last_name (text) , engineer_id (number) | engineer_visits : engineer_id (number)", "shrink-score": 0.9375}
{"db_id": "assets_maintenance", "question": "List the asset id, details, make and model for every asset.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "assets : asset_id (number) , asset_details (text) , asset_make (text) , asset_model (text)", "shrink-score": 0.9375}
{"db_id": "assets_maintenance", "question": "When was the first asset acquired?", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "assets : asset_acquired_date (time)", "shrink-score": 0.984375}
{"db_id": "assets_maintenance", "question": "Which part fault requires the most number of skills to fix? List part id and name.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "parts : part_id (number) , part_name (text) | part_faults : part_id (number) , part_fault_id (number) | skills_required_to_fix : part_fault_id (number)", "shrink-score": 0.921875}
{"db_id": "assets_maintenance", "question": "Which kind of part has the least number of faults? List the part name.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "parts : part_name (text) , part_id (number) | part_faults : part_id (number) , part_fault_id (number)", "shrink-score": 0.9375}
{"db_id": "assets_maintenance", "question": "Among those engineers who have visited, which engineer makes the least number of visits? List the engineer id, first name and last name.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "maintenance_engineers : engineer_id (number) , first_name (text) , last_name (text) | engineer_visits : engineer_id (number) , engineer_visit_id (number)", "shrink-score": 0.921875}
{"db_id": "assets_maintenance", "question": "Which staff have contacted which engineers? List the staff name and the engineer first name and last name.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "staff : staff_name (text) , staff_id (number) | maintenance_engineers : first_name (text) , last_name (text) , engineer_id (number) | engineer_visits : contact_staff_id (number) , engineer_id (number)", "shrink-score": 0.890625}
{"db_id": "assets_maintenance", "question": "Which fault log included the most number of faulty parts? List the fault log id, description and record time.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "fault_log : fault_log_entry_id (number) , fault_description (text) , fault_log_entry_datetime (time) | fault_log_parts : fault_log_entry_id (number)", "shrink-score": 0.9375}
{"db_id": "assets_maintenance", "question": "Which skill is used in fixing the most number of faults? List the skill id and description.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "skills : skill_id (number) , skill_description (text) | skills_required_to_fix : skill_id (number)", "shrink-score": 0.953125}
{"db_id": "assets_maintenance", "question": "What are all the distinct asset models?", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "assets : asset_model (text)", "shrink-score": 0.984375}
{"db_id": "assets_maintenance", "question": "List the all the assets make, model, details by the disposed date ascendingly.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "assets : asset_make (text) , asset_model (text) , asset_details (text) , asset_disposed_date (time)", "shrink-score": 0.9375}
{"db_id": "assets_maintenance", "question": "Which part has the least chargeable amount? List the part id and amount.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "parts : part_id (number) , chargeable_amount (text)", "shrink-score": 0.96875}
{"db_id": "assets_maintenance", "question": "Which company started the earliest the maintenance contract? Show the company name.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "third_party_companies : company_name (text) , company_id (number) | maintenance_contracts : maintenance_contract_company_id (number) , contract_start_date (time)", "shrink-score": 0.9375}
{"db_id": "assets_maintenance", "question": "What is the description of the type of the company who concluded its contracts most recently?", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "third_party_companies : company_name (text) , company_id (number) | maintenance_contracts : maintenance_contract_company_id (number) , contract_end_date (time)", "shrink-score": 0.9375}
{"db_id": "assets_maintenance", "question": "Which gender makes up the majority of the staff?", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "staff : gender (text) , staff_id (number)", "shrink-score": 0.96875}
{"db_id": "assets_maintenance", "question": "How many engineers did each staff contact? List both the contact staff name and number of engineers contacted.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "staff : staff_name (text) , staff_id (number) | engineer_visits : contact_staff_id (number) , engineer_visit_id (number)", "shrink-score": 0.9375}
{"db_id": "assets_maintenance", "question": "Which assets did not incur any fault log? List the asset model.", "schema": "third_party_companies : company_id (number) , company_type (text) , company_name (text) , company_address (text) , other_company_details (text) | maintenance_contracts : maintenance_contract_id (number) , maintenance_contract_company_id (number) , contract_start_date (time) , contract_end_date (time) , other_contract_details (text) | parts : part_id (number) , part_name (text) , chargeable_yn (text) , chargeable_amount (text) , other_part_details (text) | skills : skill_id (number) , skill_code (text) , skill_description (text) | staff : staff_id (number) , staff_name (text) , gender (text) , other_staff_details (text) | assets : asset_id (number) , maintenance_contract_id (number) , supplier_company_id (number) , asset_details (text) , asset_make (text) , asset_model (text) , asset_acquired_date (time) , asset_disposed_date (time) , other_asset_details (text) | asset_parts : asset_id (number) , part_id (number) | maintenance_engineers : engineer_id (number) , company_id (number) , first_name (text) , last_name (text) , other_details (text) | engineer_skills : engineer_id (number) , skill_id (number) | fault_log : fault_log_entry_id (number) , asset_id (number) , recorded_by_staff_id (number) , fault_log_entry_datetime (time) , fault_description (text) , other_fault_details (text) | engineer_visits : engineer_visit_id (number) , contact_staff_id (number) , engineer_id (number) , fault_log_entry_id (number) , fault_status (text) , visit_start_datetime (time) , visit_end_datetime (time) , other_visit_details (text) | part_faults : part_fault_id (number) , part_id (number) , fault_short_name (text) , fault_description (text) , other_fault_details (text) | fault_log_parts : fault_log_entry_id (number) , part_fault_id (number) , fault_status (text) | skills_required_to_fix : part_fault_id (number) , skill_id (number)", "summarized-schema": "assets : asset_model (text) , asset_id (number) | fault_log : asset_id (number)", "shrink-score": 0.953125}
{"db_id": "station_weather", "question": "list the local authorities and services provided by all stations.", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "station : local_authority (text) , services (text)", "shrink-score": 0.8947368421052632}
{"db_id": "station_weather", "question": "show all train numbers and names ordered by their time from early to late.", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "train : train_number (number) , name (text) , time (text)", "shrink-score": 0.8421052631578947}
{"db_id": "station_weather", "question": "Give me the times and numbers of all trains that go to Chennai, ordered by time.", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "train : time (text) , train_number (number) , destination (text)", "shrink-score": 0.8421052631578947}
{"db_id": "station_weather", "question": "How many trains have 'Express' in their names?", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "train : name (text) , id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "station_weather", "question": "Find the number and time of the train that goes from Chennai to Guruvayur.", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "train : train_number (number) , time (text) , origin (text) , destination (text)", "shrink-score": 0.7894736842105263}
{"db_id": "station_weather", "question": "Find the number of trains starting from each origin.", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "train : origin (text) , id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "station_weather", "question": "Find the name of the train whose route runs through greatest number of stations.", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "train : name (text) , id (number) | route : train_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "station_weather", "question": "Find the number of trains for each station, as well as the station network name and services.", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "station : network_name (text) , services (text) , id (number) | route : station_id (number) , train_id (number)", "shrink-score": 0.7368421052631579}
{"db_id": "station_weather", "question": "What is the average high temperature for each day of week?", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "weekly_weather : high_temperature (number) , day_of_week (text)", "shrink-score": 0.8947368421052632}
{"db_id": "station_weather", "question": "Give me the maximum low temperature and average precipitation at the Amersham station.", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "weekly_weather : low_temperature (number) , precipitation (number) , station_id (number) | station : id (number) , network_name (text)", "shrink-score": 0.7368421052631579}
{"db_id": "station_weather", "question": "Find names and times of trains that run through stations for the local authority Chiltern.", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "train : name (text) , time (text) , id (number) | station : id (number) , local_authority (text) | route : station_id (number) , train_id (number)", "shrink-score": 0.631578947368421}
{"db_id": "station_weather", "question": "How many different services are provided by all stations?", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "station : services (text)", "shrink-score": 0.9473684210526315}
{"db_id": "station_weather", "question": "Find the id and local authority of the station with has the highest average high temperature.", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "station : id (number) , local_authority (text) | weekly_weather : station_id (number) , high_temperature (number)", "shrink-score": 0.7894736842105263}
{"db_id": "station_weather", "question": "Find the id and local authority of the station whose maximum precipitation is higher than 50.", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "station : id (number) , local_authority (text) | weekly_weather : station_id (number) , precipitation (number)", "shrink-score": 0.7894736842105263}
{"db_id": "station_weather", "question": "show the lowest low temperature and highest wind speed in miles per hour.", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "weekly_weather : low_temperature (number) , wind_speed_mph (number)", "shrink-score": 0.8947368421052632}
{"db_id": "station_weather", "question": "Find the origins from which more than 1 train starts.", "schema": "train : id (number) , train_number (number) , name (text) , origin (text) , destination (text) , time (text) , interval (text) | station : id (number) , network_name (text) , services (text) , local_authority (text) | route : train_id (number) , station_id (number) | weekly_weather : station_id (number) , day_of_week (text) , high_temperature (number) , low_temperature (number) , precipitation (number) , wind_speed_mph (number)", "summarized-schema": "train : origin (text) , id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "college_1", "question": "Find the number of professors in accounting department.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_code (text) , dept_name (text) | professor : dept_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "How many professors are in the accounting dept?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_code (text) , dept_name (text) | professor : dept_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "How many professors are teaching class with code ACCT-211?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : prof_num (number) , crs_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "How many professors teach a class with the code ACCT-211?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : prof_num (number) , crs_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "What is the first and last name of the professor in biology department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_lname (text) , emp_num (number) | department : dept_code (text) , emp_num (number) , dept_name (text) | professor : dept_code (text) , emp_num (number)", "shrink-score": 0.813953488372093}
{"db_id": "college_1", "question": "What are the first and last name of all biology professors?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_lname (text) , emp_num (number) | department : dept_code (text) , emp_num (number) , dept_name (text) | professor : dept_code (text) , emp_num (number)", "shrink-score": 0.813953488372093}
{"db_id": "college_1", "question": "What are the first names and date of birth of professors teaching course ACCT-211?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_dob (time) , emp_num (number) | class : prof_num (number) , crs_code (text)", "shrink-score": 0.8837209302325582}
{"db_id": "college_1", "question": "What are the first names and birthdates of the professors in charge of ACCT-211?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_dob (time) , emp_num (number) | class : prof_num (number) , crs_code (text)", "shrink-score": 0.8837209302325582}
{"db_id": "college_1", "question": "How many classes are professor whose last name is Graztevski has?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_num (number) , emp_lname (text) | class : prof_num (number) , class_code (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "How many classes does the professor whose last name is Graztevski teach?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_num (number) , emp_lname (text) | class : prof_num (number) , class_code (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What is the code of the school where the accounting department belongs to?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : school_code (text) , dept_name (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "What is the school code of the accounting department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : school_code (text) , dept_name (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "How many credits does course CIS-220 have, and what its description?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "course : crs_credit (number) , crs_description (text) , crs_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "What is the description for the CIS-220 and how many credits does it have?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "course : crs_credit (number) , crs_description (text) , crs_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "what is the address of history department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_address (text) , dept_name (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "Where is the history department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_address (text) , dept_name (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "How many different locations does the school with code BUS has?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_address (text) , school_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "What are the different locations of the school with the code BUS?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_address (text) , school_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "How many different locations does each school have?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_address (text) , school_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "Count different addresses of each school.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_address (text) , school_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "Find the description and credit for the course QM-261?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "course : crs_credit (number) , crs_description (text) , crs_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "What is the course description and number of credits for QM-261?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "course : crs_credit (number) , crs_description (text) , crs_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "Find the number of departments in each school.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , school_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "How many departments are in each school?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , school_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "Find the number of different departments in each school whose number of different departments is less than 5.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , school_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "How many different departments are there in each school that has less than 5 apartments?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , school_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "How many sections does each course has?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : crs_code (text) , class_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "How many sections does each course have?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : crs_code (text) , class_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "What is the total credit does each department offer?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "course : crs_credit (number) , dept_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "How many credits does the department offer?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "course : crs_credit (number) , dept_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "Find the number of classes offered for all class rooms that held at least 2 classes.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : class_room (text) , class_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "For each classroom with at least 2 classes, how many classes are offered?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : class_room (text) , class_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "Find the number of classes in each department.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "course : dept_code (text) , crs_code (text) | class : crs_code (text) , class_code (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "How many classes are held in each department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "course : dept_code (text) , crs_code (text) | class : crs_code (text) , class_code (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "Find the number of classes in each school.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : school_code (text) , dept_code (text) | class : crs_code (text) , class_code (text) | course : crs_code (text) , dept_code (text)", "shrink-score": 0.8604651162790697}
{"db_id": "college_1", "question": "How many classes exist for each school?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : school_code (text) , dept_code (text) | class : crs_code (text) , class_code (text) | course : crs_code (text) , dept_code (text)", "shrink-score": 0.8604651162790697}
{"db_id": "college_1", "question": "What is the number of professors for different school?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : school_code (text) , dept_code (text) | professor : dept_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "How many different professors are there for the different schools?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : school_code (text) , dept_code (text) | professor : dept_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "Find the count and code of the job has most employees.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_jobcode (text) , emp_num (number)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "What is the count and code of the job with the most employee?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_jobcode (text) , emp_num (number)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "Which school has the smallest amount of professors?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : school_code (text) , dept_code (text) | professor : dept_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "Which school has the fewest professors?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : school_code (text) , dept_code (text) | professor : dept_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "Find the number of professors with a Ph.D. degree in each department.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "professor : dept_code (text) , prof_high_degree (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "How many professors have a Ph.D. in each department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "professor : dept_code (text) , prof_high_degree (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "Find the number of students for each department.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : dept_code (text) , stu_num (number)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "How many students are in each department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : dept_code (text) , stu_num (number)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "Find the total number of hours have done for all students in each department.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_hrs (number) , dept_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "How many hours do the students spend studying in each department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_hrs (number) , dept_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "Find the max, average, and minimum gpa of all students in each department.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_gpa (number) , dept_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "What is the highest, lowest, and average student GPA for every department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_gpa (number) , dept_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "What is the name and the average gpa of department whose students have the highest average gpa?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_code (text) | student : stu_gpa (number) , dept_code (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "Which department has the highest average student GPA, and what is the average gpa?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_code (text) | student : stu_gpa (number) , dept_code (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "how many schools exist in total?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : school_code (text)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "How many schools are there in the department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : school_code (text)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "How many different classes are there?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : class_code (text)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "How many unique classes are offered?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : class_code (text)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "How many courses are offered?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : crs_code (text)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "What are the number of different course codes?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : crs_code (text)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "How many departments does the college has?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "How many different departments are there?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "How many courses are offered by the Computer Info. Systems department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "course : dept_code (text) , crs_code (text) | department : dept_code (text) , dept_name (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "How many courses does the department of Computer Information Systmes offer?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "course : dept_code (text) , crs_code (text) | department : dept_code (text) , dept_name (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "How many sections does course ACCT-211 has?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : class_section (text) , crs_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "What is the number of different class sections offered in the course ACCT-211?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : class_section (text) , crs_code (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "Find the total credits of all classes offered by each department.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "course : crs_credit (number) , dept_code (text) , crs_code (text) | class : crs_code (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What are the total number of credits offered by each department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "course : crs_credit (number) , dept_code (text) , crs_code (text) | class : crs_code (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "Find the name of the department that offers the largest number of credits of all classes.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_code (text) | class : crs_code (text) | course : crs_code (text) , dept_code (text) , crs_credit (number)", "shrink-score": 0.8604651162790697}
{"db_id": "college_1", "question": "Which department offers the most credits all together?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_code (text) | class : crs_code (text) | course : crs_code (text) , dept_code (text) , crs_credit (number)", "shrink-score": 0.8604651162790697}
{"db_id": "college_1", "question": "How many students enrolled in class ACCT-211?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : class_code (text) , crs_code (text) | enroll : class_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "What are the total number of students enrolled in ACCT-211?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : class_code (text) , crs_code (text) | enroll : class_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "What is the first name of each student enrolled in class ACCT-211?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_num (number) | class : class_code (text) , crs_code (text) | enroll : class_code (text) , stu_num (number)", "shrink-score": 0.8604651162790697}
{"db_id": "college_1", "question": "What are the first names of all students in course ACCT-211?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_num (number) | class : class_code (text) , crs_code (text) | enroll : class_code (text) , stu_num (number)", "shrink-score": 0.8604651162790697}
{"db_id": "college_1", "question": "What is the first name of students enrolled in class ACCT-211 and got grade C?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_num (number) | class : class_code (text) , crs_code (text) | enroll : class_code (text) , stu_num (number) , enroll_grade (text)", "shrink-score": 0.8372093023255814}
{"db_id": "college_1", "question": "What are the first names of all students who took ACCT-211 and received a C?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_num (number) | class : class_code (text) , crs_code (text) | enroll : class_code (text) , stu_num (number) , enroll_grade (text)", "shrink-score": 0.8372093023255814}
{"db_id": "college_1", "question": "Find the total number of employees.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_num (number)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "How many employees are there all together?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_num (number)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "How many professors do have a Ph.D. degree?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "professor : prof_high_degree (text)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "What is the total number of professors with a Ph.D. ?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "professor : prof_high_degree (text)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "How many students are enrolled in the class taught by some professor from the accounting department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : class_code (text) , crs_code (text) | enroll : class_code (text) | course : crs_code (text) , dept_code (text) | department : dept_code (text) , dept_name (text)", "shrink-score": 0.8372093023255814}
{"db_id": "college_1", "question": "How many students are enrolled in some classes that are taught by an accounting professor?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : class_code (text) , crs_code (text) | enroll : class_code (text) | course : crs_code (text) , dept_code (text) | department : dept_code (text) , dept_name (text)", "shrink-score": 0.8372093023255814}
{"db_id": "college_1", "question": "What is the name of the department that has the largest number of students enrolled?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_code (text) | class : class_code (text) , crs_code (text) | enroll : class_code (text) | course : crs_code (text) , dept_code (text)", "shrink-score": 0.8372093023255814}
{"db_id": "college_1", "question": "What is the name of the department with the most students enrolled?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_code (text) | class : class_code (text) , crs_code (text) | enroll : class_code (text) | course : crs_code (text) , dept_code (text)", "shrink-score": 0.8372093023255814}
{"db_id": "college_1", "question": "list names of all departments ordered by their names.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "What are the names of all departments in alphabetical order?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "List the codes of all courses that take place in room KLR209.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : class_code (text) , class_room (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "What are the codes of all the courses that are located in room KLR209?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : class_code (text) , class_room (text)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "List the first name of all employees with job code PROF ordered by their date of birth.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_jobcode (text) , emp_dob (time)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "What are the first names of all employees that are professors ordered by date of birth?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_jobcode (text) , emp_dob (time)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "Find the first names and offices of all professors sorted by alphabetical order of their first name.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | professor : prof_office (text) , emp_num (number)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What are the first names and office locations for all professors sorted alphabetically by first name?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | professor : prof_office (text) , emp_num (number)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What is the first and last name of the oldest employee?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_lname (text) , emp_dob (time)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "What are the first and last names of the employee with the earliest date of birth?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_lname (text) , emp_dob (time)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "What is the first, last name, gpa of the youngest one among students whose GPA is above 3?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_lname (text) , stu_gpa (number) , stu_dob (time)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What is the first and last name of the youngest student with a GPA above 3, and what is their GPA?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_lname (text) , stu_gpa (number) , stu_dob (time)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What is the first name of students who got grade C in any class?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_num (number) | enroll : stu_num (number) , enroll_grade (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What are the first names of all students who got a grade C in a class?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_num (number) | enroll : stu_num (number) , enroll_grade (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What is the name of department where has the smallest number of professors?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_code (text) | professor : dept_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "What is the name of the department with the fewest professors?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_code (text) | professor : dept_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "What is the name of department where has the largest number of professors with a Ph.D. degree?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_code (text) | professor : dept_code (text) , prof_high_degree (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "Which department has the most professors with a Ph.D.?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_code (text) | professor : dept_code (text) , prof_high_degree (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What are the first names of the professors who do not teach a class.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_jobcode (text) , emp_num (number) | class : prof_num (number)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What are the first names of all professors not teaching any classes?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_jobcode (text) , emp_num (number) | class : prof_num (number)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What is the first names of the professors from the history department who do not teach a class.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | department : emp_num (number) , dept_code (text) , dept_name (text) | professor : emp_num (number) , dept_code (text) | class : prof_num (number)", "shrink-score": 0.813953488372093}
{"db_id": "college_1", "question": "What are the first names of all history professors who do not teach?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | department : emp_num (number) , dept_code (text) , dept_name (text) | professor : emp_num (number) , dept_code (text) | class : prof_num (number)", "shrink-score": 0.813953488372093}
{"db_id": "college_1", "question": "What is the last name and office of the professor from the history department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_lname (text) , emp_num (number) | professor : prof_office (text) , emp_num (number) , dept_code (text) | department : emp_num (number) , dept_code (text) , dept_name (text)", "shrink-score": 0.813953488372093}
{"db_id": "college_1", "question": "What are the last name and office of all history professors?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_lname (text) , emp_num (number) | professor : prof_office (text) , emp_num (number) , dept_code (text) | department : emp_num (number) , dept_code (text) , dept_name (text)", "shrink-score": 0.813953488372093}
{"db_id": "college_1", "question": "What is department name and office for the professor whose last name is Heffington?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , emp_num (number) , dept_code (text) | professor : prof_office (text) , emp_num (number) , dept_code (text) | employee : emp_num (number) , emp_lname (text)", "shrink-score": 0.813953488372093}
{"db_id": "college_1", "question": "What is the name of the department and office location for the professor with the last name of Heffington?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , emp_num (number) , dept_code (text) | professor : prof_office (text) , emp_num (number) , dept_code (text) | employee : emp_num (number) , emp_lname (text)", "shrink-score": 0.813953488372093}
{"db_id": "college_1", "question": "Find the last name and hire date of the professor who is in office DRE 102.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_lname (text) , emp_hiredate (time) , emp_num (number) | professor : emp_num (number) , prof_office (text)", "shrink-score": 0.8837209302325582}
{"db_id": "college_1", "question": "What is the last name of the professor whose office is located in DRE 102, and when were they hired?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_lname (text) , emp_hiredate (time) , emp_num (number) | professor : emp_num (number) , prof_office (text)", "shrink-score": 0.8837209302325582}
{"db_id": "college_1", "question": "What is the code of the course which the student whose last name is Smithson took?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : crs_code (text) , class_code (text) | enroll : class_code (text) , stu_num (number) | student : stu_num (number) , stu_lname (text)", "shrink-score": 0.8604651162790697}
{"db_id": "college_1", "question": "What are the course codes for every class that the student with the last name Smithson took?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "class : crs_code (text) , class_code (text) | enroll : class_code (text) , stu_num (number) | student : stu_num (number) , stu_lname (text)", "shrink-score": 0.8604651162790697}
{"db_id": "college_1", "question": "What are the description and credit of the course which the student whose last name is Smithson took?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "course : crs_description (text) , crs_credit (number) , crs_code (text) | class : class_code (text) , crs_code (text) | enroll : class_code (text) , stu_num (number) | student : stu_num (number) , stu_lname (text)", "shrink-score": 0.7906976744186046}
{"db_id": "college_1", "question": "How many credits is the course that the student with the last name Smithson took, and what is its description?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "course : crs_description (text) , crs_credit (number) , crs_code (text) | class : class_code (text) , crs_code (text) | enroll : class_code (text) , stu_num (number) | student : stu_num (number) , stu_lname (text)", "shrink-score": 0.7906976744186046}
{"db_id": "college_1", "question": "How many professors who has a either Ph.D. or MA degree?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "professor : prof_high_degree (text)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "How many professors attained either Ph.D. or Masters degrees?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "professor : prof_high_degree (text)", "shrink-score": 0.9767441860465116}
{"db_id": "college_1", "question": "How many professors who are from either Accounting or Biology department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_code (text) , dept_name (text) | professor : dept_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "What is the number of professors who are in the Accounting or Biology departments?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_code (text) , dept_name (text) | professor : dept_code (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "Find the first name of the professor who is teaching two courses with code CIS-220 and QM-261.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | class : prof_num (number) , crs_code (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What is the first name of the professor who is teaching CIS-220 and QM-261?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | class : prof_num (number) , crs_code (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "Find the first name of student who is taking classes from accounting and Computer Info. Systems departments", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_num (number) , dept_code (text) | enroll : stu_num (number) , class_code (text) | class : class_code (text) , crs_code (text) | course : crs_code (text) , dept_code (text) | department : dept_code (text) , dept_name (text)", "shrink-score": 0.7441860465116279}
{"db_id": "college_1", "question": "What are the first names of all students taking accoutning and Computer Information Systems classes?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_num (number) , dept_code (text) | enroll : stu_num (number) , class_code (text) | class : class_code (text) , crs_code (text) | course : crs_code (text) , dept_code (text) | department : dept_code (text) , dept_name (text)", "shrink-score": 0.7441860465116279}
{"db_id": "college_1", "question": "What is the average gpa of the students enrolled in the course with code ACCT-211?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_gpa (number) , stu_num (number) | enroll : stu_num (number) , class_code (text) | class : class_code (text) , crs_code (text)", "shrink-score": 0.8604651162790697}
{"db_id": "college_1", "question": "What is the average GPA of students taking ACCT-211?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_gpa (number) , stu_num (number) | enroll : stu_num (number) , class_code (text) | class : class_code (text) , crs_code (text)", "shrink-score": 0.8604651162790697}
{"db_id": "college_1", "question": "What is the first name, gpa and phone number of the top 5 students with highest gpa?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_gpa (number) , stu_phone (text) , stu_fname (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "What is the first name, GPA, and phone number of the students with the top 5 GPAs?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_gpa (number) , stu_phone (text) , stu_fname (text)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "What is the department name of the students with lowest gpa belongs to?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_code (text) | student : dept_code (text) , stu_gpa (number)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What is the name of the department with the student that has the lowest GPA?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_code (text) | student : dept_code (text) , stu_gpa (number)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "Find the first name and gpa of the students whose gpa is lower than the average gpa of all students.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_gpa (number)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "What is the first name and GPA of every student that has a GPA lower than average?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_gpa (number)", "shrink-score": 0.9534883720930233}
{"db_id": "college_1", "question": "Find the name and address of the department that has the highest number of students.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_address (text) , dept_code (text) | student : dept_code (text) , stu_num (number)", "shrink-score": 0.8837209302325582}
{"db_id": "college_1", "question": "What is the name and address of the department with the most students?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_address (text) , dept_code (text) | student : dept_code (text) , stu_num (number)", "shrink-score": 0.8837209302325582}
{"db_id": "college_1", "question": "Find the name, address, number of students in the departments that have the top 3 highest number of students.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_address (text) , dept_code (text) | student : dept_code (text) , stu_num (number)", "shrink-score": 0.8837209302325582}
{"db_id": "college_1", "question": "What is the name, address, and number of students in the departments that have the 3 most students?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_address (text) , dept_code (text) | student : dept_code (text) , stu_num (number)", "shrink-score": 0.8837209302325582}
{"db_id": "college_1", "question": "Find the first name and office of the professor who is in the history department and has a Ph.D. degree.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | professor : prof_office (text) , emp_num (number) , dept_code (text) , prof_high_degree (text) | department : emp_num (number) , dept_code (text) , dept_name (text)", "shrink-score": 0.7906976744186046}
{"db_id": "college_1", "question": "What are the first names and office of the professors who are in the history department and have a Ph.D?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | professor : prof_office (text) , emp_num (number) , dept_code (text) , prof_high_degree (text) | department : emp_num (number) , dept_code (text) , dept_name (text)", "shrink-score": 0.7906976744186046}
{"db_id": "college_1", "question": "Find the first names of all instructors who have taught some course and the course code.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | class : crs_code (text) , prof_num (number)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What are the first names of all teachers who have taught a course and the corresponding course codes?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | class : crs_code (text) , prof_num (number)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "Find the first names of all instructors who have taught some course and the course description.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | course : crs_description (text) , crs_code (text) | class : prof_num (number) , crs_code (text)", "shrink-score": 0.8604651162790697}
{"db_id": "college_1", "question": "What are the first names of all teachers who have taught a course and the corresponding descriptions?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | course : crs_description (text) , crs_code (text) | class : prof_num (number) , crs_code (text)", "shrink-score": 0.8604651162790697}
{"db_id": "college_1", "question": "Find the first names and offices of all instructors who have taught some course and also find the course description.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | professor : prof_office (text) , emp_num (number) | course : crs_description (text) , crs_code (text) | class : prof_num (number) , crs_code (text)", "shrink-score": 0.813953488372093}
{"db_id": "college_1", "question": "What are the first names, office locations of all lecturers who have taught some course?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | professor : prof_office (text) , emp_num (number) | course : crs_description (text) , crs_code (text) | class : prof_num (number) , crs_code (text)", "shrink-score": 0.813953488372093}
{"db_id": "college_1", "question": "Find the first names and offices of all instructors who have taught some course and the course description and the department name.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | professor : prof_office (text) , emp_num (number) , dept_code (text) | course : crs_description (text) , crs_code (text) , dept_code (text) | department : dept_name (text) , emp_num (number) , dept_code (text) | class : prof_num (number) , crs_code (text)", "shrink-score": 0.6976744186046512}
{"db_id": "college_1", "question": "What are the first names, office locations, and departments of all instructors, and also what are the descriptions of the courses they teach?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | professor : prof_office (text) , emp_num (number) , dept_code (text) | course : crs_description (text) , crs_code (text) , dept_code (text) | department : dept_name (text) , emp_num (number) , dept_code (text) | class : prof_num (number) , crs_code (text)", "shrink-score": 0.6976744186046512}
{"db_id": "college_1", "question": "Find names of all students who took some course and the course description.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_lname (text) , stu_num (number) | course : crs_description (text) , crs_code (text) | enroll : stu_num (number) , class_code (text) | class : class_code (text) , crs_code (text)", "shrink-score": 0.7906976744186046}
{"db_id": "college_1", "question": "What are the names of all students who took a class and the corresponding course descriptions?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_lname (text) , stu_num (number) | course : crs_description (text) , crs_code (text) | enroll : stu_num (number) , class_code (text) | class : class_code (text) , crs_code (text)", "shrink-score": 0.7906976744186046}
{"db_id": "college_1", "question": "Find names of all students who took some course and got A or C.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_lname (text) , stu_num (number) | enroll : stu_num (number) , enroll_grade (text)", "shrink-score": 0.8837209302325582}
{"db_id": "college_1", "question": "What are the names of all students taking a course who received an A or C?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_lname (text) , stu_num (number) | enroll : stu_num (number) , enroll_grade (text)", "shrink-score": 0.8837209302325582}
{"db_id": "college_1", "question": "Find the first names of all professors in the Accounting department who is teaching some course and the class room.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | class : class_room (text) , prof_num (number) | department : emp_num (number) , dept_code (text) , dept_name (text) | professor : emp_num (number) , dept_code (text)", "shrink-score": 0.7906976744186046}
{"db_id": "college_1", "question": "What are the first names of all Accounting professors who teach and what are the classrooms of the courses they teach?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | class : class_room (text) , prof_num (number) | department : emp_num (number) , dept_code (text) , dept_name (text) | professor : emp_num (number) , dept_code (text)", "shrink-score": 0.7906976744186046}
{"db_id": "college_1", "question": "Find the first names and degree of all professors who are teaching some class in Computer Info. Systems department.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | professor : prof_high_degree (text) , emp_num (number) , dept_code (text) | class : prof_num (number) | department : emp_num (number) , dept_code (text) , dept_name (text)", "shrink-score": 0.7906976744186046}
{"db_id": "college_1", "question": "What are the different first names and highest degree attained for professors teaching in the Computer Information Systems department?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | professor : prof_high_degree (text) , emp_num (number) , dept_code (text) | class : prof_num (number) | department : emp_num (number) , dept_code (text) , dept_name (text)", "shrink-score": 0.7906976744186046}
{"db_id": "college_1", "question": "What is the last name of the student who got a grade A in the class with code 10018.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_lname (text) , stu_num (number) | enroll : stu_num (number) , enroll_grade (text) , class_code (text)", "shrink-score": 0.8837209302325582}
{"db_id": "college_1", "question": "What is the last name of the student who received an A in the class with the code 10018?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_lname (text) , stu_num (number) | enroll : stu_num (number) , enroll_grade (text) , class_code (text)", "shrink-score": 0.8837209302325582}
{"db_id": "college_1", "question": "Find the first name and office of history professor who did not get a Ph.D. degree.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | professor : prof_office (text) , emp_num (number) , dept_code (text) , prof_high_degree (text) | department : emp_num (number) , dept_code (text) , dept_name (text)", "shrink-score": 0.7906976744186046}
{"db_id": "college_1", "question": "What are the first names and offices of history professors who don't have Ph.D.s?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | professor : prof_office (text) , emp_num (number) , dept_code (text) , prof_high_degree (text) | department : emp_num (number) , dept_code (text) , dept_name (text)", "shrink-score": 0.7906976744186046}
{"db_id": "college_1", "question": "Find the first names of professors who are teaching more than one class.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | class : prof_num (number) , class_code (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What are the first names of all professors who teach more than one class?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "employee : emp_fname (text) , emp_num (number) | class : prof_num (number) , class_code (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "Find the first names of students who took exactly one class.", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_num (number) | enroll : stu_num (number)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "What are the first names of student who only took one course?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_num (number) | enroll : stu_num (number)", "shrink-score": 0.9302325581395349}
{"db_id": "college_1", "question": "Find the name of department that offers the class whose description has the word \"Statistics\".", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_code (text) | course : dept_code (text) , crs_description (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What is the name of the department that offers a course that has a description including the word \"Statistics\"?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "department : dept_name (text) , dept_code (text) | course : dept_code (text) , crs_description (text)", "shrink-score": 0.9069767441860465}
{"db_id": "college_1", "question": "What is the first name of the student whose last name starting with the letter S and is taking ACCT-211 class?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_num (number) , stu_lname (text) | enroll : stu_num (number) , class_code (text) | class : class_code (text) , crs_code (text)", "shrink-score": 0.8372093023255814}
{"db_id": "college_1", "question": "What is the first name of the student whose last name starts with the letter S and is taking ACCT-211?", "schema": "class : class_code (text) , crs_code (text) , class_section (text) , class_time (text) , class_room (text) , prof_num (number) | course : crs_code (text) , dept_code (text) , crs_description (text) , crs_credit (number) | department : dept_code (text) , dept_name (text) , school_code (text) , emp_num (number) , dept_address (text) , dept_extension (text) | employee : emp_num (number) , emp_lname (text) , emp_fname (text) , emp_initial (text) , emp_jobcode (text) , emp_hiredate (time) , emp_dob (time) | enroll : class_code (text) , stu_num (number) , enroll_grade (text) | professor : emp_num (number) , dept_code (text) , prof_office (text) , prof_extension (text) , prof_high_degree (text) | student : stu_num (number) , stu_lname (text) , stu_fname (text) , stu_init (text) , stu_dob (time) , stu_hrs (number) , stu_class (text) , stu_gpa (number) , stu_transfer (number) , dept_code (text) , stu_phone (text) , prof_num (number)", "summarized-schema": "student : stu_fname (text) , stu_num (number) , stu_lname (text) | enroll : stu_num (number) , class_code (text) | class : class_code (text) , crs_code (text)", "shrink-score": 0.8372093023255814}
{"db_id": "sports_competition", "question": "How many clubs are there?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club : club_id (number)", "shrink-score": 0.9615384615384616}
{"db_id": "sports_competition", "question": "What is the total number of clubs?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club : club_id (number)", "shrink-score": 0.9615384615384616}
{"db_id": "sports_competition", "question": "List the distinct region of clubs in ascending alphabetical order.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club : region (text)", "shrink-score": 0.9615384615384616}
{"db_id": "sports_competition", "question": "What are the different regions of clubs in ascending alphabetical order?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club : region (text)", "shrink-score": 0.9615384615384616}
{"db_id": "sports_competition", "question": "What is the average number of gold medals for clubs?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club_rank : gold (number)", "shrink-score": 0.9615384615384616}
{"db_id": "sports_competition", "question": "What is the average number of gold medals for a club?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club_rank : gold (number)", "shrink-score": 0.9615384615384616}
{"db_id": "sports_competition", "question": "What are the types and countries of competitions?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : competition_type (text) , country (text)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "What are the types of every competition and in which countries are they located?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : competition_type (text) , country (text)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "What are the distinct years in which the competitions type is not \"Tournament\"?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : year (number) , competition_type (text)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "What are the different years for all competitions that are not of type equal to tournament?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : year (number) , competition_type (text)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "What are the maximum and minimum number of silver medals for clubs.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club_rank : silver (number)", "shrink-score": 0.9615384615384616}
{"db_id": "sports_competition", "question": "What are the maximum and minimum number of silver medals for all the clubs?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club_rank : silver (number)", "shrink-score": 0.9615384615384616}
{"db_id": "sports_competition", "question": "How many clubs have total medals less than 10?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club_rank : total (number) , rank (number)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "What is the total number of clubs that have less than 10 medals in total?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club_rank : total (number) , rank (number)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "List all club names in ascending order of start year.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club : name (text) , start_year (text)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "What are the names of all the clubs starting with the oldest?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club : name (text) , start_year (text)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "List all club names in descending alphabetical order.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club : name (text)", "shrink-score": 0.9615384615384616}
{"db_id": "sports_competition", "question": "What are the names of all the clubs ordered in descending alphabetical order?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club : name (text)", "shrink-score": 0.9615384615384616}
{"db_id": "sports_competition", "question": "Please show the names and the players of clubs.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club : name (text) , club_id (number) | player : name (text) , player_id (number) , club_id (number)", "shrink-score": 0.8076923076923077}
{"db_id": "sports_competition", "question": "What are the names and players of all the clubs?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club : name (text) , club_id (number) | player : name (text) , player_id (number) , club_id (number)", "shrink-score": 0.8076923076923077}
{"db_id": "sports_competition", "question": "Show the names of clubs that have players with position \"Right Wing\".", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club : name (text) , club_id (number) | player : name (text) , club_id (number) , position (text)", "shrink-score": 0.8076923076923077}
{"db_id": "sports_competition", "question": "What are the names of the clubs that have players in the position of \"Right Wing\"?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club : name (text) , club_id (number) | player : name (text) , club_id (number) , position (text)", "shrink-score": 0.8076923076923077}
{"db_id": "sports_competition", "question": "What is the average points of players from club with name \"AIB\".", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : points (number) , club_id (number) , name (text) | club : club_id (number) , name (text)", "shrink-score": 0.8076923076923077}
{"db_id": "sports_competition", "question": "What is the average number of points for players from the \"AIB\" club?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : points (number) , club_id (number) , name (text) | club : club_id (number) , name (text)", "shrink-score": 0.8076923076923077}
{"db_id": "sports_competition", "question": "List the position of players and the average number of points of players of each position.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : position (text) , points (number)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "For each position, what is the average number of points for players in that position?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : position (text) , points (number)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "List the position of players with average number of points scored by players of that position bigger than 20.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : position (text) , name (text) , points (number)", "shrink-score": 0.8846153846153846}
{"db_id": "sports_competition", "question": "What are the positions of players whose average number of points scored by that position is larger than 20?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : position (text) , name (text) , points (number)", "shrink-score": 0.8846153846153846}
{"db_id": "sports_competition", "question": "List the types of competition and the number of competitions of each type.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : competition_type (text) , competition_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "What are the types of competition and number of competitions for that type?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : competition_type (text) , competition_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "List the most common type of competition.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : competition_type (text) , competition_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "What is the most common competition type?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : competition_type (text) , competition_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "List the types of competition that have at most five competitions of that type.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : competition_type (text) , competition_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "What are the types of competition that have most 5 competitions for that type?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : competition_type (text) , competition_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "List the names of clubs that do not have any players.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club : name (text) , club_id (number) | player : name (text) , club_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "sports_competition", "question": "What are the names of all clubs that do not have any players?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "club : name (text) , club_id (number) | player : name (text) , club_id (number)", "shrink-score": 0.8461538461538461}
{"db_id": "sports_competition", "question": "What are the positions with both players having more than 20 points and less than 10 points.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : position (text) , points (number)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "What are the positions of both players that have more than 20 20 points and less than 10 points?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : position (text) , points (number)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "Show total points of all players.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : points (number)", "shrink-score": 0.9615384615384616}
{"db_id": "sports_competition", "question": "What is the total number of points for all players?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : points (number)", "shrink-score": 0.9615384615384616}
{"db_id": "sports_competition", "question": "how many different positions are there?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : position (text)", "shrink-score": 0.9615384615384616}
{"db_id": "sports_competition", "question": "How many different position for players are listed?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : position (text)", "shrink-score": 0.9615384615384616}
{"db_id": "sports_competition", "question": "what are the name of players who get more than the average points.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : name (text) , points (number)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "What are the names of all players that got more than the average number of points?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : name (text) , points (number)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "find the number of players whose points are lower than 30 in each position.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : position (text) , points (number) , player_id (number)", "shrink-score": 0.8846153846153846}
{"db_id": "sports_competition", "question": "What is the number of players who have points less than 30 for each position?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "player : position (text) , points (number) , player_id (number)", "shrink-score": 0.8846153846153846}
{"db_id": "sports_competition", "question": "which country did participated in the most number of Tournament competitions?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : country (text) , competition_type (text) , competition_id (number)", "shrink-score": 0.8846153846153846}
{"db_id": "sports_competition", "question": "what is the name of the country that participated in the most tournament competitions?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : country (text) , competition_type (text) , competition_id (number)", "shrink-score": 0.8846153846153846}
{"db_id": "sports_competition", "question": "which countries did participated in both Friendly and Tournament type competitions.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : country (text) , competition_type (text)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "What are the countries that participated in both friendly and tournament type competitions?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : country (text) , competition_type (text)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "Find the countries that have never participated in any competition with Friendly type.", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : country (text) , competition_type (text)", "shrink-score": 0.9230769230769231}
{"db_id": "sports_competition", "question": "What are the countries that have never participated in any friendly-type competitions?", "schema": "club : club_id (number) , name (text) , region (text) , start_year (text) | club_rank : rank (number) , club_id (number) , gold (number) , silver (number) , bronze (number) , total (number) | player : player_id (number) , name (text) , position (text) , club_id (number) , apps (number) , tries (number) , goals (text) , points (number) | competition : competition_id (number) , year (number) , competition_type (text) , country (text) | competition_result : competition_id (number) , club_id_1 (number) , club_id_2 (number) , score (text)", "summarized-schema": "competition : country (text) , competition_type (text)", "shrink-score": 0.9230769230769231}
{"db_id": "manufacturer", "question": "How many furniture components are there in total?", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "furniture : num_of_component (number)", "shrink-score": 0.9166666666666666}
{"db_id": "manufacturer", "question": "Return the name and id of the furniture with the highest market rate.", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "furniture : name (text) , furniture_id (number) , market_rate (number)", "shrink-score": 0.75}
{"db_id": "manufacturer", "question": "find the total market rate of the furnitures that have the top 2 market shares.", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "furniture : market_rate (number)", "shrink-score": 0.9166666666666666}
{"db_id": "manufacturer", "question": "Find the component amounts and names of all furnitures that have more than 10 components.", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "furniture : num_of_component (number) , name (text)", "shrink-score": 0.8333333333333334}
{"db_id": "manufacturer", "question": "Find the name and component amount of the least popular furniture.", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "furniture : name (text) , num_of_component (number) , market_rate (number)", "shrink-score": 0.75}
{"db_id": "manufacturer", "question": "Find the names of furnitures whose prices are lower than the highest price.", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "furniture : name (text) , furniture_id (number) | furniture_manufacte : furniture_id (number) , price_in_dollar (number)", "shrink-score": 0.6666666666666666}
{"db_id": "manufacturer", "question": "Which manufacturer has the most number of shops? List its name and year of opening.", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "manufacturer : open_year (number) , name (text) , num_of_shops (number)", "shrink-score": 0.75}
{"db_id": "manufacturer", "question": "Find the average number of factories for the manufacturers that have more than 20 shops.", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "manufacturer : num_of_factories (number) , num_of_shops (number)", "shrink-score": 0.8333333333333334}
{"db_id": "manufacturer", "question": "List all manufacturer names and ids ordered by their opening year.", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "manufacturer : name (text) , manufacturer_id (number) , open_year (number)", "shrink-score": 0.75}
{"db_id": "manufacturer", "question": "Give me the name and year of opening of the manufacturers that have either less than 10 factories or more than 10 shops.", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "manufacturer : name (text) , open_year (number) , num_of_shops (number) , num_of_factories (number)", "shrink-score": 0.6666666666666666}
{"db_id": "manufacturer", "question": "what is the average number of factories and maximum number of shops for manufacturers that opened before 1990.", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "manufacturer : num_of_shops (number) , num_of_factories (number) , open_year (number)", "shrink-score": 0.75}
{"db_id": "manufacturer", "question": "Find the id and number of shops for the company that produces the most expensive furniture.", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "manufacturer : manufacturer_id (number) , num_of_shops (number) | furniture_manufacte : manufacturer_id (number) , price_in_dollar (number)", "shrink-score": 0.6666666666666666}
{"db_id": "manufacturer", "question": "Find the number of funiture types produced by each manufacturer as well as the company names.", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "manufacturer : name (text) , manufacturer_id (number) | furniture_manufacte : manufacturer_id (number)", "shrink-score": 0.75}
{"db_id": "manufacturer", "question": "Give me the names and prices of furnitures which some companies are manufacturing.", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "furniture : name (text) , furniture_id (number) | furniture_manufacte : price_in_dollar (number) , furniture_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "manufacturer", "question": "Find the market shares and names of furnitures which no any company is producing in our records.", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "furniture : market_rate (number) , name (text) , furniture_id (number) | furniture_manufacte : furniture_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "manufacturer", "question": "Find the name of the company that produces both furnitures with less than 6 components and furnitures with more than 10 components.", "schema": "manufacturer : manufacturer_id (number) , open_year (number) , name (text) , num_of_factories (number) , num_of_shops (number) | furniture : furniture_id (number) , name (text) , num_of_component (number) , market_rate (number) | furniture_manufacte : manufacturer_id (number) , furniture_id (number) , price_in_dollar (number)", "summarized-schema": "manufacturer : name (text) , manufacturer_id (number) | furniture : name (text) , furniture_id (number) , num_of_component (number) | furniture_manufacte : furniture_id (number) , manufacturer_id (number)", "shrink-score": 0.4166666666666667}
{"db_id": "hr_1", "question": "Display the first name and department name for each employee.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , department_id (number) | departments : department_name (text) , department_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "What are the first name and department name of all employees?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , department_id (number) | departments : department_name (text) , department_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "List the full name (first and last name), and salary for those employees who earn below 6000.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , salary (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "What are the full names and salaries for any employees earning less than 6000?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , salary (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "Display the first name, and department number for all employees whose last name is \"McEwen\".", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , department_id (number) , last_name (text)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "What are the first names and department numbers for employees with last name McEwen?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , department_id (number) , last_name (text)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "Return all the information for all employees without any department number.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : department_id (number) , employee_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "What are all the employees without a department number?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : department_id (number) , employee_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "Display all the information about the department Marketing.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_name (text) , department_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "What is all the information about the Marketing department?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_name (text) , department_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "when is the hire date for those employees whose first name does not containing the letter M?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : hire_date (time) , first_name (text)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "On what dates were employees without the letter M in their first names hired?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : hire_date (time) , first_name (text)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "display the full name (first and last), hire date, salary, and department number for those employees whose first name does not containing the letter M.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , hire_date (time) , salary (number) , department_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "What are the full name, hire date, salary, and department id for employees without the letter M in their first name?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , hire_date (time) , salary (number) , department_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "display the full name (first and last), hire date, salary, and department number for those employees whose first name does not containing the letter M and make the result set in ascending order by department number.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , hire_date (time) , salary (number) , department_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "What are the full name, hire data, salary and department id for employees without the letter M in their first name, ordered by ascending department id?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , hire_date (time) , salary (number) , department_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "what is the phone number of employees whose salary is in the range of 8000 and 12000?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : phone_number (text) , salary (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "Return the phone numbers of employees with salaries between 8000 and 12000.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : phone_number (text) , salary (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "display all the information of employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : salary (number) , commission_pct (number) , department_id (number) , employee_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "Return all information about employees with salaries between 8000 and 12000 for which commission is not null or where their department id is not 40.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : salary (number) , commission_pct (number) , department_id (number) , employee_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "What are the full name (first and last name) and salary for all employees who does not have any value for commission?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , salary (number) , commission_pct (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "Return the full names and salaries of employees with null commissions.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , salary (number) , commission_pct (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "Display the first and last name, and salary for those employees whose first name is ending with the letter m.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , salary (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "Return the full names and salaries for employees with first names that end with the letter m.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , salary (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "Find job id and date of hire for those employees who was hired between November 5th, 2007 and July 5th, 2009.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : job_id (text) , hire_date (time)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "What are the job ids and dates of hire for employees hired after November 5th, 2007 and before July 5th, 2009?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : job_id (text) , hire_date (time)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "What are the first and last name for those employees who works either in department 70 or 90?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , department_id (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "What are the full names of employees who with in department 70 or 90?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , department_id (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "Find the salary and manager number for those employees who is working under a manager.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : salary (number) , manager_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "What are the salaries and manager ids for employees who have managers?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : salary (number) , manager_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "display all the details from Employees table for those employees who was hired before 2002-06-21.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : hire_date (time) , employee_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "What is all the information about employees hired before June 21, 2002?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : hire_date (time) , employee_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "display all the information for all employees who have the letters D or S in their first name and also arrange the result in descending order by salary.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , salary (number) , employee_id (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "What is all the information about employees with D or S in their first name, ordered by salary descending?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , salary (number) , employee_id (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "display those employees who joined after 7th September, 1987.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : hire_date (time) , employee_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "Which employees were hired after September 7th, 1987?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : hire_date (time) , employee_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "display the job title of jobs which minimum salary is greater than 9000.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "jobs : job_title (text) , min_salary (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "Which job titles correspond to jobs with salaries over 9000?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "jobs : job_title (text) , min_salary (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "display job Title, the difference between minimum and maximum salaries for those jobs which max salary within the range 12000 to 18000.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "jobs : job_title (text) , max_salary (number) , min_salary (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "What are the job titles, and range of salaries for jobs with maximum salary between 12000 and 18000?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "jobs : job_title (text) , max_salary (number) , min_salary (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "display the emails of the employees who have no commission percentage and salary within the range 7000 to 12000 and works in that department which number is 50.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : email (text) , commission_pct (number) , salary (number) , department_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "What are the emails of employees with null commission, salary between 7000 and 12000, and who work in department 50?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : email (text) , commission_pct (number) , salary (number) , department_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "display the employee ID for each employee and the date on which he ended his previous job.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "job_history : employee_id (number) , end_date (time)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "What are the employee ids for each employee and final dates of employment at their last job?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "job_history : employee_id (number) , end_date (time)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "display those departments where more than ten employees work who got a commission percentage.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : department_id (number) , commission_pct (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "What are the department ids for which more than 10 employees had a commission?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : department_id (number) , commission_pct (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "Find the ids of the departments where any manager is managing 4 or more employees.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : department_id (number) , manager_id (number) , employee_id (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "What are department ids for departments with managers managing more than 3 employees?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : department_id (number) , manager_id (number) , employee_id (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "display the average salary of employees for each department who gets a commission percentage.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : department_id (number) , salary (number) , commission_pct (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "What is the average salary of employees who have a commission percentage that is not null?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : department_id (number) , salary (number) , commission_pct (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "display the country ID and number of cities for each country.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "locations : country_id (text) , location_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "Give the country id and corresponding count of cities in each country.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "locations : country_id (text) , location_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "display job ID for those jobs that were done by two or more for more than 300 days.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "job_history : job_id (text) , end_date (time) , start_date (time) , employee_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "What are the job ids for jobs done more than once for a period of more than 300 days?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "job_history : job_id (text) , end_date (time) , start_date (time) , employee_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "display the ID for those employees who did two or more jobs in the past.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "job_history : employee_id (number)", "shrink-score": 0.9714285714285714}
{"db_id": "hr_1", "question": "What are the employee ids for employees who have held two or more jobs?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "job_history : employee_id (number)", "shrink-score": 0.9714285714285714}
{"db_id": "hr_1", "question": "Find employee with ID and name of the country presently where (s)he is working.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , department_id (number) | countries : country_name (text) , country_id (text) | departments : department_id (number) , location_id (number) | locations : location_id (number) , country_id (text)", "shrink-score": 0.7714285714285715}
{"db_id": "hr_1", "question": "What are all the employee ids and the names of the countries in which they work?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , department_id (number) | countries : country_name (text) , country_id (text) | departments : department_id (number) , location_id (number) | locations : location_id (number) , country_id (text)", "shrink-score": 0.7714285714285715}
{"db_id": "hr_1", "question": "display the department name and number of employees in each of the department.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_name (text) , department_id (number) | employees : department_id (number) , employee_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "Give the name of each department and the number of employees in each.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_name (text) , department_id (number) | employees : department_id (number) , employee_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "Can you return all detailed info of jobs which was done by any of the employees who is presently earning a salary on and above 12000?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , salary (number) | job_history : employee_id (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "What is all the job history info done by employees earning a salary greater than or equal to 12000?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , salary (number) | job_history : employee_id (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "display job title and average salary of employees.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "jobs : job_title (text) , job_id (text) | employees : salary (number) , job_id (text)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "What is the average salary for each job title?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "jobs : job_title (text) , job_id (text) | employees : salary (number) , job_id (text)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "What is the full name ( first name and last name ) for those employees who gets more salary than the employee whose id is 163?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , salary (number) , employee_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "Provide the full names of employees earning more than the employee with id 163.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , salary (number) , employee_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "return the smallest salary for every departments.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : salary (number) , department_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "What is the minimum salary in each department?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : salary (number) , department_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "Find the first name and last name and department id for those employees who earn such amount of salary which is the smallest salary of any of the departments.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , department_id (number) , salary (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "What are the full names and department ids for the lowest paid employees across all departments.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , department_id (number) , salary (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "Find the employee id for all employees who earn more than the average salary.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , salary (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "What are the employee ids for employees who make more than the average?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , salary (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "display the employee id and salary of all employees who report to Payam (first name).", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , salary (number) , manager_id (number) , first_name (text)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "What are the employee ids of employees who report to Payam, and what are their salaries?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , salary (number) , manager_id (number) , first_name (text)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "find the name of all departments that do actually have one or more employees assigned to them.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_name (text) , department_id (number) | employees : department_id (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "What are the names of departments that have at least one employee.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_name (text) , department_id (number) | employees : department_id (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "get the details of employees who manage a department.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_id (number) , manager_id (number) | employees : department_id (number) , employee_id (number) , manager_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "What is all the information regarding employees who are managers?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_id (number) , manager_id (number) | employees : department_id (number) , employee_id (number) , manager_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "display all the information about the department Marketing.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_name (text) , department_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "What is all the information about the Marketing department?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_name (text) , department_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "display the ID for those employees who did two or more jobs in the past.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "job_history : employee_id (number)", "shrink-score": 0.9714285714285714}
{"db_id": "hr_1", "question": "What are the employee ids for those who had two or more jobs.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "job_history : employee_id (number)", "shrink-score": 0.9714285714285714}
{"db_id": "hr_1", "question": "What are the unique ids of those departments where any manager is managing 4 or more employees.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : department_id (number) , manager_id (number) , employee_id (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "Give the distinct department ids of departments in which a manager is in charge of 4 or more employees?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : department_id (number) , manager_id (number) , employee_id (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "Find the job ID for those jobs which average salary is above 8000.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : job_id (text) , salary (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "What are the job ids corresponding to jobs with average salary above 8000?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : job_id (text) , salary (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "display the employee ID and job name for all those jobs in department 80.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , job_id (text) , department_id (number) | jobs : job_title (text) , job_id (text)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "what are the employee ids and job titles for employees in department 80?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , job_id (text) , department_id (number) | jobs : job_title (text) , job_id (text)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "What is the first name and job id for all employees in the Finance department?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , job_id (text) , department_id (number) | departments : department_id (number) , department_name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "Give the first name and job id for all employees in the Finance department.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , job_id (text) , department_id (number) | departments : department_id (number) , department_name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "display all the information of the employees whose salary if within the range of smallest salary and 2500.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : salary (number) , employee_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "What is all the information regarding employees with salaries above the minimum and under 2500?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : salary (number) , employee_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "Find the ids of the employees who does not work in those departments where some employees works whose manager id within the range 100 and 200.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_id (number) , manager_id (number) | employees : department_id (number) , manager_id (number) , employee_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "What are the ids for employees who do not work in departments with managers that have ids between 100 and 200?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_id (number) , manager_id (number) | employees : department_id (number) , manager_id (number) , employee_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "display the employee name ( first name and last name ) and hire date for all employees in the same department as Clara.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , hire_date (time) , department_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "What are the full names and hire dates for employees in the same department as someone with the first name Clara?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , hire_date (time) , department_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "display the employee name ( first name and last name ) and hire date for all employees in the same department as Clara excluding Clara.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , hire_date (time) , department_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "What are the full names and hire dates for employees in the same department as someone with the first name Clara, not including Clara?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , hire_date (time) , department_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "display the employee number and name( first name and last name ) for all employees who work in a department with any employee whose name contains a \u2019T\u2019.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , first_name (text) , last_name (text) , department_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "What are the ids and full names for employees who work in a department that has someone with a first name that contains the letter T?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , first_name (text) , last_name (text) , department_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "display the employee number, name( first name and last name ), and salary for all employees who earn more than the average salary and who work in a department with any employee with a 'J' in their first name.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , first_name (text) , last_name (text) , salary (number) , department_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "What are the ids, full names, and salaries for employees making more than average and who work in a department with employees who have the letter J in their first name?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , first_name (text) , last_name (text) , salary (number) , department_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "display the employee number and job id for all employees whose salary is smaller than any salary of those employees whose job title is MK_MAN.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , job_id (text) , salary (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "What are the employee ids and job ids for employees who make less than the lowest earning employee with title MK_MAN?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , job_id (text) , salary (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "display the employee number, name( first name and last name ) and job title for all employees whose salary is more than any salary of those employees whose job title is PU_MAN.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , first_name (text) , last_name (text) , job_id (text) , salary (number)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "What are the employee ids, full names, and job ids for employees who make more than the highest earning employee with title PU_MAN?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) , first_name (text) , last_name (text) , job_id (text) , salary (number)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "display the department id and the total salary for those departments which contains at least two employees.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : department_id (number) , salary (number) , employee_id (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "What are total salaries and department id for each department that has more than 2 employees?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : department_id (number) , salary (number) , employee_id (number)", "shrink-score": 0.9142857142857143}
{"db_id": "hr_1", "question": "display all the information of those employees who did not have any job in the past.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) | job_history : employee_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "What is all the information about employees who have never had a job in the past?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : employee_id (number) | job_history : employee_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "hr_1", "question": "display the department ID, full name (first and last name), salary for those employees who is highest salary in every department.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , salary (number) , department_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "What are the department ids, full names, and salaries for employees who make the most in their departments?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , salary (number) , department_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "display the first and last name, department, city, and state province for each employee.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , department_id (number) | departments : department_name (text) , department_id (number) , location_id (number) | locations : city (text) , state_province (text) , location_id (number)", "shrink-score": 0.7428571428571429}
{"db_id": "hr_1", "question": "What are the full names, departments, cities, and state provinces for each employee?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , department_id (number) | departments : department_name (text) , department_id (number) , location_id (number) | locations : city (text) , state_province (text) , location_id (number)", "shrink-score": 0.7428571428571429}
{"db_id": "hr_1", "question": "display those employees who contain a letter z to their first name and also display their last name, city.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , department_id (number) | locations : city (text) , location_id (number) | departments : department_id (number) , location_id (number)", "shrink-score": 0.8}
{"db_id": "hr_1", "question": "What are the full names and cities of employees who have the letter Z in their first names?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , department_id (number) | locations : city (text) , location_id (number) | departments : department_id (number) , location_id (number)", "shrink-score": 0.8}
{"db_id": "hr_1", "question": "display the department name, city, and state province for each department.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_name (text) , location_id (number) | locations : city (text) , state_province (text) , location_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "What are the department names, cities, and state provinces for each department?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_name (text) , location_id (number) | locations : city (text) , state_province (text) , location_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "hr_1", "question": "display the full name (first and last name ) of employee with ID and name of the country presently where (s)he is working.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , employee_id (number) , department_id (number) | countries : country_name (text) , country_id (text) | departments : department_id (number) , location_id (number) | locations : location_id (number) , country_id (text)", "shrink-score": 0.7142857142857143}
{"db_id": "hr_1", "question": "What the full names, ids of each employee and the name of the country they are in?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , employee_id (number) , department_id (number) | countries : country_name (text) , country_id (text) | departments : department_id (number) , location_id (number) | locations : location_id (number) , country_id (text)", "shrink-score": 0.7142857142857143}
{"db_id": "hr_1", "question": "display the department name and number of employees in each of the department.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_name (text) , department_id (number) | employees : department_id (number) , employee_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "What are the department names and how many employees work in each of them?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "departments : department_name (text) , department_id (number) | employees : department_id (number) , employee_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "hr_1", "question": "display the full name (first and last name), and salary of those employees who working in any department located in London.", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , salary (number) , department_id (number) | departments : department_id (number) , location_id (number) | locations : location_id (number) , city (text)", "shrink-score": 0.7714285714285715}
{"db_id": "hr_1", "question": "What are full names and salaries of employees working in the city of London?", "schema": "regions : region_id (number) , region_name (text) | countries : country_id (text) , country_name (text) , region_id (number) | departments : department_id (number) , department_name (text) , manager_id (number) , location_id (number) | jobs : job_id (text) , job_title (text) , min_salary (number) , max_salary (number) | employees : employee_id (number) , first_name (text) , last_name (text) , email (text) , phone_number (text) , hire_date (time) , job_id (text) , salary (number) , commission_pct (number) , manager_id (number) , department_id (number) | job_history : employee_id (number) , start_date (time) , end_date (time) , job_id (text) , department_id (number) | locations : location_id (number) , street_address (text) , postal_code (text) , city (text) , state_province (text) , country_id (text)", "summarized-schema": "employees : first_name (text) , last_name (text) , salary (number) , department_id (number) | departments : department_id (number) , location_id (number) | locations : location_id (number) , city (text)", "shrink-score": 0.7714285714285715}
{"db_id": "music_1", "question": "What is the name of the song that was released in the most recent year?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , releasedate (time)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "What is the name of the song that was released most recently?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , releasedate (time)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "What is the id of the longest song?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : f_id (number) , duration (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "Find the id of the song that lasts the longest.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : f_id (number) , duration (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "Find the names of all English songs.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , languages (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "What are the names of all songs in English?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , languages (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "What are the id of songs whose format is mp3.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : f_id (number) , formats (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "What are the id of all the files in mp3 format?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : f_id (number) , formats (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "List the name and country of origin for all singers who have produced songs with rating above 9.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) | song : artist_name (text) , country (text) , rating (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What are the different names and countries of origins for all artists whose song ratings are above 9?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) | song : artist_name (text) , country (text) , rating (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "List the file size and format for all songs that have resolution lower than 800.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : file_size (text) , formats (text) , f_id (number) | song : f_id (number) , resolution (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What are the file sizes and formats for all songs with a resolution lower than 800?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : file_size (text) , formats (text) , f_id (number) | song : f_id (number) , resolution (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What is the name of the artist who produced the shortest song?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : artist_name (text) , f_id (number) , duration (text) | song : artist_name (text) , f_id (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What are the names of the artists who sang the shortest song?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : artist_name (text) , f_id (number) , duration (text) | song : artist_name (text) , f_id (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What are the names and countries of origin for the artists who produced the top three highly rated songs.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) | song : artist_name (text) , country (text) , rating (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What are the names of the singers who sang the top 3 most highly rated songs and what countries do they hail from?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) | song : artist_name (text) , country (text) , rating (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "How many songs have 4 minute duration?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : duration (text) , f_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "What is the count of the songs that last approximately 4 minutes?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : duration (text) , f_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "How many artists are from Bangladesh?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : country (text) , artist_name (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "How many Bangladeshi artists are listed?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : country (text) , artist_name (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "What is the average rating of songs produced by female artists?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : rating (number) , artist_name (text) | artist : artist_name (text) , gender (text)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "How many songs, on average, are sung by a female artist?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : rating (number) , artist_name (text) | artist : artist_name (text) , gender (text)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "What is the most popular file format?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : formats (text) , f_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "Find the file format that is used by the most files.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : formats (text) , f_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "Find the names of the artists who are from UK and have produced English songs.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) | song : artist_name (text) , country (text) , languages (text)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What are the names of the artists that are from the UK and sang songs in English?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) | song : artist_name (text) , country (text) , languages (text)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "Find the id of songs that are available in mp4 format and have resolution lower than 1000.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : f_id (number) , formats (text) | song : f_id (number) , resolution (number)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "What is the id of the files that are available in the format of mp4 and a resolution smaller than 1000?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : f_id (number) , formats (text) | song : f_id (number) , resolution (number)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "What is the country of origin of the artist who is female and produced a song in Bangla?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : country (text) , artist_name (text) , gender (text) | song : country (text) , artist_name (text) , languages (text)", "shrink-score": 0.7142857142857143}
{"db_id": "music_1", "question": "What countries are the female artists who sung in the language Bangla from?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : country (text) , artist_name (text) , gender (text) | song : country (text) , artist_name (text) , languages (text)", "shrink-score": 0.7142857142857143}
{"db_id": "music_1", "question": "What is the average duration of songs that have mp3 format and resolution below 800?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : duration (text) , f_id (number) , formats (text) | song : f_id (number) , resolution (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What is the average song duration for the songs that are in mp3 format and whose resolution below 800?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : duration (text) , f_id (number) , formats (text) | song : f_id (number) , resolution (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What is the number of artists for each gender?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : gender (text) , artist_name (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "How many artists are male and how many are female?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : gender (text) , artist_name (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "What is the average rating of songs for each language?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : rating (number) , languages (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "What is the average song rating for each language?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : rating (number) , languages (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "Return the gender and name of artist who produced the song with the lowest resolution.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : gender (text) , artist_name (text) | song : artist_name (text) , resolution (number)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "What is the gender and name of the artist who sang the song with the smallest resolution?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : gender (text) , artist_name (text) | song : artist_name (text) , resolution (number)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "For each file format, return the number of artists who released songs in that format.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : formats (text) , f_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "How many songs were released for each format?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : formats (text) , f_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "Find the distinct names of all songs that have a higher resolution than some songs in English.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , resolution (number) , languages (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "What are the different names for all songs that have a higher resolution than English songs?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , resolution (number) , languages (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "What are the names of all songs that have a lower rating than some song of blues genre?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , rating (number) , genre_is (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "What are the names of the songs that have a lower rating than at least one blues song?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , rating (number) , genre_is (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "What is the name and country of origin of the artist who released a song that has \"love\" in its title?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) | song : artist_name (text) , country (text) , song_name (text)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What are the names of the artists who released a song that has the word love in its title, and where are the artists from?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) | song : artist_name (text) , country (text) , song_name (text)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "List the name and gender for all artists who released songs in March.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , gender (text) | song : artist_name (text) , releasedate (time)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "What are the names and genders of all artists who released songs in the month of March?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , gender (text) | song : artist_name (text) , releasedate (time)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "List the names of all genres in alphabetical oder, together with its ratings.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "genre : g_name (text) , rating (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "What are the names of all genres in alphabetical order, combined with its ratings?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "genre : g_name (text) , rating (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "Give me a list of the names of all songs ordered by their resolution.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , resolution (number)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "What are the names of all songs that are ordered by their resolution numbers?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , resolution (number)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "What are the ids of songs that are available in either mp4 format or have resolution above 720?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : f_id (number) , formats (text) | song : f_id (number) , resolution (number)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "What are the ids of all songs that are available on mp4 or have a higher resolution than 720?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : f_id (number) , formats (text) | song : f_id (number) , resolution (number)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "List the names of all songs that have 4 minute duration or are in English.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , f_id (number) , languages (text) | files : f_id (number) , duration (text)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What are the names of all songs that are approximately 4 minutes long or are in English?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , f_id (number) , languages (text) | files : f_id (number) , duration (text)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What is the language used most often in the songs?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : languages (text) , song_name (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "What are the languages that are used most often in songs?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : languages (text) , song_name (text)", "shrink-score": 0.9047619047619048}
{"db_id": "music_1", "question": "What is the language that was used most often in songs with resolution above 500?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : artist_name (text) , resolution (number) , languages (text) , song_name (text)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "What is the name of the artist, for each language, that has the most songs with a higher resolution than 500?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : artist_name (text) , resolution (number) , languages (text) , song_name (text)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "What are the names of artists who are Male and are from UK?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) , gender (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "What are the names of all male British artists?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) , gender (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "Find the names of songs whose genre is modern or language is English.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , genre_is (text) , languages (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "What are the names of the songs that are modern or sung in English?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , genre_is (text) , languages (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "Return the names of songs for which format is mp3 and resolution is below 1000.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , f_id (number) , resolution (number) | files : f_id (number) , formats (text)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What are the names of all songs that are in mp3 format and have a resolution lower than 1000?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , f_id (number) , resolution (number) | files : f_id (number) , formats (text)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "Return the names of singers who are from UK and released an English song.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) | song : artist_name (text) , country (text) , languages (text)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What are the names of all singers that are from the UK and released a song in English?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) | song : artist_name (text) , country (text) , languages (text)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What are the average rating and resolution of songs that are in Bangla?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : rating (number) , resolution (number) , languages (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "What is the average rating and resolution of all bangla songs?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : rating (number) , resolution (number) , languages (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "What are the maximum and minimum resolution of songs whose duration is 3 minutes?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : resolution (number) , f_id (number) | files : f_id (number) , duration (text)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "What is the maximum and minimum resolution of all songs that are approximately 3 minutes long?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : resolution (number) , f_id (number) | files : f_id (number) , duration (text)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "What are the maximum duration and resolution of songs grouped and ordered by languages?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : duration (text) , f_id (number) | song : resolution (number) , languages (text) , f_id (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What are the maximum duration and resolution of all songs, for each language, ordered alphabetically by language?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : duration (text) , f_id (number) | song : resolution (number) , languages (text) , f_id (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What are the shortest duration and lowest rating of songs grouped by genre and ordered by genre?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : duration (text) , f_id (number) | song : rating (number) , genre_is (text) , f_id (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What is the shortest and most poorly rated song for each genre, ordered alphabetically by genre?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : duration (text) , f_id (number) | song : rating (number) , genre_is (text) , f_id (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "Find the names and number of works of all artists who have at least one English songs.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) | song : artist_name (text) , languages (text) , song_name (text)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "What are the names and number of works for all artists who have sung at least one song in English?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) | song : artist_name (text) , languages (text) , song_name (text)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "Find the name and country of origin for all artists who have release at least one song of resolution above 900.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) | song : artist_name (text) , country (text) , resolution (number) , song_name (text)", "shrink-score": 0.7142857142857143}
{"db_id": "music_1", "question": "What is the name and country of origin for each artist who has released a song with a resolution higher than 900?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) | song : artist_name (text) , country (text) , resolution (number) , song_name (text)", "shrink-score": 0.7142857142857143}
{"db_id": "music_1", "question": "Find the names and number of works of the three artists who have produced the most songs.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) | song : artist_name (text) , song_name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "What are the names of the three artists who have produced the most songs, and how many works did they produce?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) | song : artist_name (text) , song_name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "Find the country of origin for the artist who made the least number of songs?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : country (text) , artist_name (text) | song : country (text) , artist_name (text) , song_name (text)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What country is the artist who made the fewest songs from?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : country (text) , artist_name (text) | song : country (text) , artist_name (text) , song_name (text)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What are the names of the songs whose rating is below the rating of all songs in English?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , rating (number) , languages (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "What are the song names for every song whose rating is less than the minimum rating for English songs?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : song_name (text) , rating (number) , languages (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "What is ids of the songs whose resolution is higher than the resolution of any songs with rating lower than 8?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : f_id (number) , resolution (number) , rating (number)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "What is the id of every song that has a resolution higher than that of a song with a rating below 8?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : f_id (number) , resolution (number) , rating (number)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "What is ids of the songs whose resolution is higher than the average resolution of songs in modern genre?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : f_id (number) , resolution (number) , genre_is (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "What are the ids of all songs that have higher resolution of the average resolution in the modern genre?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : f_id (number) , resolution (number) , genre_is (text)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "Find the top 3 artists who have the largest number of songs works whose language is Bangla.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) | song : artist_name (text) , languages (text) , song_name (text)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "What are the top 3 artists with the largest number of songs in the language Bangla?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) | song : artist_name (text) , languages (text) , song_name (text)", "shrink-score": 0.8095238095238095}
{"db_id": "music_1", "question": "List the id, genre and artist name of English songs ordered by rating.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : f_id (number) , genre_is (text) , artist_name (text) , languages (text) , rating (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What is the id, genre, and name of the artist for every English song ordered by ascending rating?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : f_id (number) , genre_is (text) , artist_name (text) , languages (text) , rating (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "List the duration, file size and format of songs whose genre is pop, ordered by title?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : duration (text) , file_size (text) , formats (text) , f_id (number) | song : f_id (number) , genre_is (text) , song_name (text)", "shrink-score": 0.6666666666666666}
{"db_id": "music_1", "question": "What is the duration, file size, and song format for every pop song, ordered by title alphabetically?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "files : duration (text) , file_size (text) , formats (text) , f_id (number) | song : f_id (number) , genre_is (text) , song_name (text)", "shrink-score": 0.6666666666666666}
{"db_id": "music_1", "question": "Find the names of the artists who have produced English songs but have never received rating higher than 8.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : artist_name (text) , languages (text) , rating (number)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "What are the names of the different artists that have produced a song in English but have never receieved a rating higher than 8?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "song : artist_name (text) , languages (text) , rating (number)", "shrink-score": 0.8571428571428571}
{"db_id": "music_1", "question": "Find the names of the artists who are from Bangladesh and have never received rating higher than 7.", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) | song : artist_name (text) , country (text) , rating (number)", "shrink-score": 0.7619047619047619}
{"db_id": "music_1", "question": "What are the names of the different artists from Bangladesh who never received a rating higher than a 7?", "schema": "genre : g_name (text) , rating (text) , most_popular_in (text) | artist : artist_name (text) , country (text) , gender (text) , preferred_genre (text) | files : f_id (number) , artist_name (text) , file_size (text) , duration (text) , formats (text) | song : song_name (text) , artist_name (text) , country (text) , f_id (number) , genre_is (text) , rating (number) , languages (text) , releasedate (time) , resolution (number)", "summarized-schema": "artist : artist_name (text) , country (text) | song : artist_name (text) , country (text) , rating (number)", "shrink-score": 0.7619047619047619}
{"db_id": "baseball_1", "question": "what is the full name and id of the college with the largest number of baseball players?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "college : name_full (text) , college_id (text) | player_college : college_id (text) , player_id (text)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "Find the full name and id of the college that has the most baseball players.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "college : name_full (text) , college_id (text) | player_college : college_id (text) , player_id (text)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "What is average salary of the players in the team named 'Boston Red Stockings' ?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "salary : salary (number) , team_id (text) | team : team_id (text) , team_id_br (text) , name (text)", "shrink-score": 0.9857954545454546}
{"db_id": "baseball_1", "question": "Compute the average salary of the players in the team called 'Boston Red Stockings'.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "salary : salary (number) , team_id (text) | team : team_id (text) , team_id_br (text) , name (text)", "shrink-score": 0.9857954545454546}
{"db_id": "baseball_1", "question": "What are first and last names of players participating in all star game in 1998?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) , player_id (text) | all_star : player_id (text) , year (number)", "shrink-score": 0.9857954545454546}
{"db_id": "baseball_1", "question": "List the first and last name for players who participated in all star game in 1998.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) , player_id (text) | all_star : player_id (text) , year (number)", "shrink-score": 0.9857954545454546}
{"db_id": "baseball_1", "question": "What are the first name, last name and id of the player with the most all star game experiences? Also list the count.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) , player_id (text) | all_star : player_id (text)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "Which player has the most all star game experiences? Give me the first name, last name and id of the player, as well as the number of times the player participated in all star game.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) , player_id (text) | all_star : player_id (text)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "How many players enter hall of fame each year?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "hall_of_fame : yearid (number) , player_id (text)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "Count the number of players who enter hall of fame for each year.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "hall_of_fame : yearid (number) , player_id (text)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "What is the average number of attendance at home games for each year?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "home_game : year (number) , attendance (number)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "For each year, return the year and the average number of attendance at home games.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "home_game : year (number) , attendance (number)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "In 2014, what are the id and rank of the team that has the largest average number of attendance?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "home_game : team_id (text) , year (number) , attendance (number) | team : team_id (text) , rank (number) , year (number) , attendance (number)", "shrink-score": 0.9801136363636364}
{"db_id": "baseball_1", "question": "Find the id and rank of the team that has the highest average attendance rate in 2014.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "home_game : team_id (text) , year (number) , attendance (number) | team : team_id (text) , rank (number) , year (number) , attendance (number)", "shrink-score": 0.9801136363636364}
{"db_id": "baseball_1", "question": "What are the manager's first name, last name and id who won the most manager award?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) , player_id (text) | manager_award : player_id (text)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "Which manager won the most manager award? Give me the manager's first name, last name and id.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) , player_id (text) | manager_award : player_id (text)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "How many parks are there in the state of NY?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "park : state (text) , park_id (text)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "Show me the number of parks the state of NY has.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "park : state (text) , park_id (text)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "Which 3 players won the most player awards? List their full name and id.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) , player_id (text) | player_award : player_id (text)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "Find the first name, last name and id for the top three players won the most player awards.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) , player_id (text) | player_award : player_id (text)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "List three countries which are the origins of the least players.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : birth_country (text) , player_id (text)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "What are the three countries that the least players are from?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : birth_country (text) , player_id (text)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "Find all the players' first name and last name who have empty death record.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) , death_year (number)", "shrink-score": 0.9914772727272727}
{"db_id": "baseball_1", "question": "What are the first name and last name of the players whose death record is empty?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) , death_year (number)", "shrink-score": 0.9914772727272727}
{"db_id": "baseball_1", "question": "How many players born in USA are right-handed batters? That is, have the batter value 'R'.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : birth_country (text) , bats (text) , player_id (text)", "shrink-score": 0.9914772727272727}
{"db_id": "baseball_1", "question": "Count the number of players who were born in USA and have bats information 'R'.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : birth_country (text) , bats (text) , player_id (text)", "shrink-score": 0.9914772727272727}
{"db_id": "baseball_1", "question": "What is the average height of the players from the college named 'Yale University'?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : height (number) , player_id (text) | player_college : player_id (text) , college_id (text) | college : college_id (text) , name_full (text)", "shrink-score": 0.9829545454545454}
{"db_id": "baseball_1", "question": "Find the average height of the players who belong to the college called 'Yale University'.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : height (number) , player_id (text) | player_college : player_id (text) , college_id (text) | college : college_id (text) , name_full (text)", "shrink-score": 0.9829545454545454}
{"db_id": "baseball_1", "question": "What is the highest salary among each team? List the team name, id and maximum salary.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "team : name (text) , team_id (text) | salary : team_id (text) , salary (number)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "For each team, return the team name, id and the maximum salary among the team.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "team : name (text) , team_id (text) | salary : team_id (text) , salary (number)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "What are the name and id of the team offering the lowest average salary?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "team : name (text) , team_id (text) | salary : team_id (text) , salary (number)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "Which team offers the lowest average salary? Give me the name and id of the team.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "team : name (text) , team_id (text) | salary : team_id (text) , salary (number)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "Find the players' first name and last name who won award both in 1960 and in 1961.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) | player_award : year (number)", "shrink-score": 0.9914772727272727}
{"db_id": "baseball_1", "question": "Which players won awards in both 1960 and 1961? Return their first names and last names.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) | player_award : year (number)", "shrink-score": 0.9914772727272727}
{"db_id": "baseball_1", "question": "List players' first name and last name who have weight greater than 220 or height shorter than 75.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) , weight (number) , height (number)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "What are the first name and last name of the players who have weight above 220 or height below 75?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) , weight (number) , height (number)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "List the maximum scores of the team Boston Red Stockings when the team won in postseason?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "postseason : wins (number) , team_id_winner (text) | team : team_id_br (text) , name (text)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "What are the maximum scores the team Boston Red Stockings got when the team won in postseason?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "postseason : wins (number) , team_id_winner (text) | team : team_id_br (text) , name (text)", "shrink-score": 0.9886363636363636}
{"db_id": "baseball_1", "question": "How many times did Boston Red Stockings lose in 2009 postseason?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "postseason : team_id_loser (text) , year (number) | team : team_id_br (text) , name (text) , year (number) , team_id (text)", "shrink-score": 0.9829545454545454}
{"db_id": "baseball_1", "question": "Count the number of times the team \"Boston Red Stockings\" lost in 2009 postseason.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "postseason : team_id_loser (text) , year (number) | team : team_id_br (text) , name (text) , year (number) , team_id (text)", "shrink-score": 0.9829545454545454}
{"db_id": "baseball_1", "question": "What are the name and id of the team with the most victories in 2008 postseason?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "team : name (text) , team_id_br (text) , year (number) , team_id (text) | postseason : team_id_winner (text) , year (number)", "shrink-score": 0.9829545454545454}
{"db_id": "baseball_1", "question": "Find the name and id of the team that won the most times in 2008 postseason.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "team : name (text) , team_id_br (text) , year (number) , team_id (text) | postseason : team_id_winner (text) , year (number)", "shrink-score": 0.9829545454545454}
{"db_id": "baseball_1", "question": "What is the number of wins the team Boston Red Stockings got in the postseasons each year in history?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "postseason : year (number) , team_id_winner (text) | team : year (number) , team_id_br (text) , name (text) , team_id (text)", "shrink-score": 0.9829545454545454}
{"db_id": "baseball_1", "question": "For each year, return the year and the number of times the team Boston Red Stockings won in the postseasons.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "postseason : year (number) , team_id_winner (text) | team : year (number) , team_id_br (text) , name (text) , team_id (text)", "shrink-score": 0.9829545454545454}
{"db_id": "baseball_1", "question": "What is the total number of postseason games that team Boston Red Stockings participated in?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "postseason : team_id_winner (text) , team_id_loser (text) | team : team_id_br (text) , name (text) , team_id (text)", "shrink-score": 0.9857954545454546}
{"db_id": "baseball_1", "question": "How many times in total did the team Boston Red Stockings participate in postseason games?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "postseason : team_id_winner (text) , team_id_loser (text) | team : team_id_br (text) , name (text) , team_id (text)", "shrink-score": 0.9857954545454546}
{"db_id": "baseball_1", "question": "How many games in 1885 postseason resulted in ties (that is, the value of \"ties\" is '1')?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "postseason : year (number) , ties (number)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "Find the number of tied games (the value of \"ties\" is '1') in 1885 postseason.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "postseason : year (number) , ties (number)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "What is the total salary paid by team Boston Red Stockings in 2010?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "salary : salary (number) , team_id (text) , year (number) | team : team_id (text) , team_id_br (text) , name (text) , year (number)", "shrink-score": 0.9801136363636364}
{"db_id": "baseball_1", "question": "What is the total salary expenses of team Boston Red Stockings in 2010?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "salary : salary (number) , team_id (text) , year (number) | team : team_id (text) , team_id_br (text) , name (text) , year (number)", "shrink-score": 0.9801136363636364}
{"db_id": "baseball_1", "question": "How many players were in the team Boston Red Stockings in 2000?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "salary : salary (number) , team_id (text) , year (number) | team : team_id (text) , team_id_br (text) , name (text) , year (number)", "shrink-score": 0.9801136363636364}
{"db_id": "baseball_1", "question": "How many players did Boston Red Stockings have in 2000?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "salary : salary (number) , team_id (text) , year (number) | team : team_id (text) , team_id_br (text) , name (text) , year (number)", "shrink-score": 0.9801136363636364}
{"db_id": "baseball_1", "question": "List the 3 highest salaries of the players in 2001?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "salary : salary (number) , year (number)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "How much salary did the top 3 well-paid players get in 2001?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "salary : salary (number) , year (number)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "What were all the salary values of players in 2010 and 2001?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "salary : salary (number) , year (number)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "List all the salary values players received in 2010 and 2001.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "salary : salary (number) , year (number)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "In which year did the least people enter hall of fame?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "hall_of_fame : yearid (number) , player_id (text)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "Find the year in which the least people enter hall of fame.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "hall_of_fame : yearid (number) , player_id (text)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "How many parks are there in Atlanta city?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "park : city (text) , park_id (text)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "How many parks does Atlanta city have?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "park : city (text) , park_id (text)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "How many games were played in park \"Columbia Park\" in 1907?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "home_game : park_id (text) , year (number) , team_id (text) | park : park_id (text) , park_name (text)", "shrink-score": 0.9857954545454546}
{"db_id": "baseball_1", "question": "Count the number of games taken place in park \"Columbia Park\" in 1907.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "home_game : park_id (text) , year (number) , team_id (text) | park : park_id (text) , park_name (text)", "shrink-score": 0.9857954545454546}
{"db_id": "baseball_1", "question": "How many games were played in city Atlanta in 2000?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "home_game : park_id (text) , year (number) , team_id (text) | park : park_id (text) , city (text)", "shrink-score": 0.9857954545454546}
{"db_id": "baseball_1", "question": "Find the number of games taken place in city Atlanta in 2000.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "home_game : park_id (text) , year (number) , team_id (text) | park : park_id (text) , city (text)", "shrink-score": 0.9857954545454546}
{"db_id": "baseball_1", "question": "What is the total home game attendance of team Boston Red Stockings from 2000 to 2010?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "home_game : attendance (number) , team_id (text) , year (number) | team : attendance (number) , team_id (text) , team_id_br (text) , name (text) , year (number)", "shrink-score": 0.9772727272727273}
{"db_id": "baseball_1", "question": "How many games in total did team Boston Red Stockings attend from 2000 to 2010?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "home_game : attendance (number) , team_id (text) , year (number) | team : attendance (number) , team_id (text) , team_id_br (text) , name (text) , year (number)", "shrink-score": 0.9772727272727273}
{"db_id": "baseball_1", "question": "How much did the the player with first name Len and last name Barker earn between 1985 to 1990 in total?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "salary : salary (number) , player_id (text) , year (number) | player : player_id (text) , name_first (text) , name_last (text)", "shrink-score": 0.9829545454545454}
{"db_id": "baseball_1", "question": "Compute the total salary that the player with first name Len and last name Barker received between 1985 to 1990.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "salary : salary (number) , player_id (text) , year (number) | player : player_id (text) , name_first (text) , name_last (text)", "shrink-score": 0.9829545454545454}
{"db_id": "baseball_1", "question": "List players' first name and last name who received salary from team Washington Nationals in both 2005 and 2007.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) , player_id (text) | salary : salary (number) , player_id (text) , team_id (text) , year (number) | team : team_id_br (text) , team_id (text) , year (number) , name (text)", "shrink-score": 0.96875}
{"db_id": "baseball_1", "question": "What are the first name and last name of the players who were paid salary by team Washington Nationals in both 2005 and 2007?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "player : name_first (text) , name_last (text) , player_id (text) | salary : salary (number) , player_id (text) , team_id (text) , year (number) | team : team_id_br (text) , team_id (text) , year (number) , name (text)", "shrink-score": 0.96875}
{"db_id": "baseball_1", "question": "How many home games did the team Boston Red Stockings play from 1990 to 2000 in total?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "home_game : games (number) , team_id (text) , year (number) | team : team_id (text) , team_id_br (text) , name (text) , year (number)", "shrink-score": 0.9801136363636364}
{"db_id": "baseball_1", "question": "Count the total number of games the team Boston Red Stockings attended from 1990 to 2000.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "home_game : games (number) , team_id (text) , year (number) | team : team_id (text) , team_id_br (text) , name (text) , year (number)", "shrink-score": 0.9801136363636364}
{"db_id": "baseball_1", "question": "Which team had the least number of attendances in home games in 1980?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "team : name (text) , team_id (text) , team_id_br (text) , year (number) , attendance (number) | home_game : team_id (text) , year (number) , attendance (number)", "shrink-score": 0.9772727272727273}
{"db_id": "baseball_1", "question": "Find the team that attended the least number of home games in 1980.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "team : name (text) , team_id (text) , team_id_br (text) , year (number) , attendance (number) | home_game : team_id (text) , year (number) , attendance (number)", "shrink-score": 0.9772727272727273}
{"db_id": "baseball_1", "question": "List the names of states that have more than 2 parks.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "park : state (text) , park_id (text)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "Which states have more than 2 parks?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "park : state (text) , park_id (text)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "How many team franchises are active, with active value 'Y'?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "team_franchise : active (text)", "shrink-score": 0.9971590909090909}
{"db_id": "baseball_1", "question": "Find the number of team franchises that are active (have 'Y' as \"active\" information).", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "team_franchise : active (text)", "shrink-score": 0.9971590909090909}
{"db_id": "baseball_1", "question": "Which cities have 2 to 4 parks?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "park : city (text) , park_id (text)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "Find all the cities that have 2 to 4 parks.", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "park : city (text) , park_id (text)", "shrink-score": 0.9943181818181818}
{"db_id": "baseball_1", "question": "Which park had most attendances in 2008?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "park : park_name (text) , park_id (text) | home_game : park_id (text) , year (number) , attendance (number)", "shrink-score": 0.9857954545454546}
{"db_id": "baseball_1", "question": "Which park did the most people attend in 2008?", "schema": "all_star : player_id (text) , year (number) , game_num (number) , game_id (text) , team_id (text) , league_id (text) , gp (number) , starting_pos (number) | appearances : year (number) , team_id (text) , league_id (text) , player_id (text) , g_all (number) , gs (number) , g_batting (number) , g_defense (number) , g_p (number) , g_c (number) , g_1b (number) , g_2b (number) , g_3b (number) , g_ss (number) , g_lf (number) , g_cf (number) , g_rf (number) , g_of (number) , g_dh (number) , g_ph (number) , g_pr (number) | manager_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (number) | player_award : player_id (text) , award_id (text) , year (number) , league_id (text) , tie (text) , notes (text) | manager_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | player_award_vote : award_id (text) , year (number) , league_id (text) , player_id (text) , points_won (number) , points_max (number) , votes_first (number) | batting : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | batting_postseason : year (number) , round (text) , player_id (text) , team_id (text) , league_id (text) , g (number) , ab (number) , r (number) , h (number) , double (number) , triple (number) , hr (number) , rbi (number) , sb (number) , cs (number) , bb (number) , so (number) , ibb (number) , hbp (number) , sh (number) , sf (number) , g_idp (number) | player_college : player_id (text) , college_id (text) , year (number) | fielding : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , pb (number) , wp (number) , sb (number) , cs (number) , zr (number) | fielding_outfield : player_id (text) , year (number) , stint (number) , glf (number) , gcf (number) , grf (number) | fielding_postseason : player_id (text) , year (number) , team_id (text) , league_id (text) , round (text) , pos (text) , g (number) , gs (number) , inn_outs (number) , po (number) , a (number) , e (number) , dp (number) , tp (number) , pb (number) , sb (number) , cs (number) | hall_of_fame : player_id (text) , yearid (number) , votedby (text) , ballots (number) , needed (number) , votes (number) , inducted (text) , category (text) , needed_note (text) | home_game : year (number) , league_id (text) , team_id (text) , park_id (text) , span_first (text) , span_last (text) , games (number) , openings (number) , attendance (number) | manager : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , g (number) , w (number) , l (number) , rank (number) , plyr_mgr (text) | manager_half : player_id (text) , year (number) , team_id (text) , league_id (text) , inseason (number) , half (number) , g (number) , w (number) , l (number) , rank (number) | player : player_id (text) , birth_year (number) , birth_month (number) , birth_day (number) , birth_country (text) , birth_state (text) , birth_city (text) , death_year (number) , death_month (number) , death_day (number) , death_country (text) , death_state (text) , death_city (text) , name_first (text) , name_last (text) , name_given (text) , weight (number) , height (number) , bats (text) , throws (text) , debut (text) , final_game (text) , retro_id (text) , bbref_id (text) | park : park_id (text) , park_name (text) , park_alias (text) , city (text) , state (text) , country (text) | pitching : player_id (text) , year (number) , stint (number) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (number) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | pitching_postseason : player_id (text) , year (number) , round (text) , team_id (text) , league_id (text) , w (number) , l (number) , g (number) , gs (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , h (number) , er (number) , hr (number) , bb (number) , so (number) , baopp (text) , era (number) , ibb (number) , wp (number) , hbp (number) , bk (number) , bfp (number) , gf (number) , r (number) , sh (number) , sf (number) , g_idp (number) | salary : year (number) , team_id (text) , league_id (text) , player_id (text) , salary (number) | college : college_id (text) , name_full (text) , city (text) , state (text) , country (text) | postseason : year (number) , round (text) , team_id_winner (text) , league_id_winner (text) , team_id_loser (text) , league_id_loser (text) , wins (number) , losses (number) , ties (number) | team : year (number) , league_id (text) , team_id (text) , franchise_id (text) , div_id (text) , rank (number) , g (number) , ghome (number) , w (number) , l (number) , div_win (text) , wc_win (text) , lg_win (text) , ws_win (text) , r (number) , ab (number) , h (number) , double (number) , triple (number) , hr (number) , bb (number) , so (number) , sb (number) , cs (number) , hbp (number) , sf (number) , ra (number) , er (number) , era (number) , cg (number) , sho (number) , sv (number) , ipouts (number) , ha (number) , hra (number) , bba (number) , soa (number) , e (number) , dp (number) , fp (number) , name (text) , park (text) , attendance (number) , bpf (number) , ppf (number) , team_id_br (text) , team_id_lahman45 (text) , team_id_retro (text) | team_franchise : franchise_id (text) , franchise_name (text) , active (text) , na_assoc (text) | team_half : year (number) , league_id (text) , team_id (text) , half (number) , div_id (text) , div_win (text) , rank (number) , g (number) , w (number) , l (number)", "summarized-schema": "park : park_name (text) , park_id (text) | home_game : park_id (text) , year (number) , attendance (number)", "shrink-score": 0.9857954545454546}
{"db_id": "mountain_photos", "question": "How many camera lenses have a focal length longer than 15 mm?", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "camera_lens : focal_length_mm (number) , id (number)", "shrink-score": 0.875}
{"db_id": "mountain_photos", "question": "Find the brand and name for each camera lens, and sort in descending order of maximum aperture.", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "camera_lens : brand (text) , name (text) , max_aperture (number)", "shrink-score": 0.8125}
{"db_id": "mountain_photos", "question": "List the id, color scheme, and name for all the photos.", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "photos : id (number) , color (text) , name (text)", "shrink-score": 0.8125}
{"db_id": "mountain_photos", "question": "What are the maximum and average height of the mountains?", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "mountain : height (number)", "shrink-score": 0.9375}
{"db_id": "mountain_photos", "question": "What are the average prominence of the mountains in country 'Morocco'?", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "mountain : prominence (number) , country (text)", "shrink-score": 0.875}
{"db_id": "mountain_photos", "question": "What are the name, height and prominence of mountains which do not belong to the range 'Aberdare Range'?", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "mountain : name (text) , height (number) , prominence (number) , range (text)", "shrink-score": 0.75}
{"db_id": "mountain_photos", "question": "What are the id and name of the photos for mountains?", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "mountain : id (number) , name (text) , height (number) | photos : id (number) , name (text) , mountain_id (number)", "shrink-score": 0.625}
{"db_id": "mountain_photos", "question": "What are the id and name of the mountains that have at least 2 photos?", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "mountain : id (number) , name (text) | photos : id (number) , name (text) , mountain_id (number)", "shrink-score": 0.6875}
{"db_id": "mountain_photos", "question": "What are the names of the cameras that have taken picture of the most mountains?", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "camera_lens : name (text) , id (number) | photos : name (text) , camera_lens_id (number) , id (number)", "shrink-score": 0.6875}
{"db_id": "mountain_photos", "question": "What are the names of photos taken with the lens brand 'Sigma' or 'Olympus'?", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "camera_lens : name (text) , id (number) , brand (text) | photos : name (text) , camera_lens_id (number) , id (number)", "shrink-score": 0.625}
{"db_id": "mountain_photos", "question": "How many different kinds of lens brands are there?", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "camera_lens : brand (text)", "shrink-score": 0.9375}
{"db_id": "mountain_photos", "question": "How many camera lenses are not used in taking any photos?", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "camera_lens : id (number) | photos : id (number) , camera_lens_id (number)", "shrink-score": 0.8125}
{"db_id": "mountain_photos", "question": "How many distinct kinds of camera lenses are used to take photos of mountains in the country 'Ethiopia'?", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "photos : camera_lens_id (number) , id (number) , mountain_id (number) | mountain : id (number) , country (text)", "shrink-score": 0.6875}
{"db_id": "mountain_photos", "question": "List the brands of lenses that took both a picture of mountains with range 'Toubkal Atlas' and a picture of mountains with range 'Lasta Massif'", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "camera_lens : brand (text) , id (number) | mountain : id (number) , range (text) | photos : id (number) , mountain_id (number) , camera_lens_id (number)", "shrink-score": 0.5625}
{"db_id": "mountain_photos", "question": "Show the name and prominence of the mountains whose picture is not taken by a lens of brand 'Sigma'.", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "mountain : name (text) , prominence (number) , id (number) | camera_lens : name (text) , id (number) , brand (text) | photos : name (text) , id (number) , mountain_id (number) , camera_lens_id (number)", "shrink-score": 0.375}
{"db_id": "mountain_photos", "question": "List the camera lens names containing substring \"Digital\".", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "camera_lens : name (text)", "shrink-score": 0.9375}
{"db_id": "mountain_photos", "question": "What is the name of each camera lens and the number of photos taken by it? Order the result by the count of photos.", "schema": "mountain : id (number) , name (text) , height (number) , prominence (number) , range (text) , country (text) | camera_lens : id (number) , brand (text) , name (text) , focal_length_mm (number) , max_aperture (number) | photos : id (number) , camera_lens_id (number) , mountain_id (number) , color (text) , name (text)", "summarized-schema": "camera_lens : name (text) , id (number) | photos : name (text) , id (number) , camera_lens_id (number)", "shrink-score": 0.6875}
{"db_id": "program_share", "question": "Find the names of channels that are not owned by CCTV.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : name (text) , owner (text)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "Which channels are not owned by CCTV? Give me the channel names.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : name (text) , owner (text)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "List all channel names ordered by their rating in percent from big to small.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : name (text) , rating_in_percent (number)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "Give me a list of all the channel names sorted by the channel rating in descending order.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : name (text) , rating_in_percent (number)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "What is the owner of the channel that has the highest rating ratio?", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : owner (text) , rating_in_percent (number)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "Show me the owner of the channel with the highest rating.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : owner (text) , rating_in_percent (number)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "how many programs are there?", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : program_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "program_share", "question": "Count the number of programs.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : program_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "program_share", "question": "list all the names of programs, ordering by launch time.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : name (text) , launch (number)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "What is the list of program names, sorted by the order of launch date?", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : name (text) , launch (number)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "List the name, origin and owner of each program.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : name (text) , origin (text) , owner (text)", "shrink-score": 0.8235294117647058}
{"db_id": "program_share", "question": "What are the name, origin and owner of each program?", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : name (text) , origin (text) , owner (text)", "shrink-score": 0.8235294117647058}
{"db_id": "program_share", "question": "find the name of the program that was launched most recently.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : name (text) , launch (number)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "Which program was launched most recently? Return the program name.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : name (text) , launch (number)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "find the total percentage share of all channels owned by CCTV.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : share_in_percent (number) , owner (text)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "What is the total share (in percent) of all the channels owned by CCTV?", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : share_in_percent (number) , owner (text)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "Find the names of the channels that are broadcast in the morning.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : name (text) , channel_id (number) | broadcast : channel_id (number) , time_of_day (text)", "shrink-score": 0.7647058823529411}
{"db_id": "program_share", "question": "Which channels are broadcast in the morning? Give me the channel names.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : name (text) , channel_id (number) | broadcast : channel_id (number) , time_of_day (text)", "shrink-score": 0.7647058823529411}
{"db_id": "program_share", "question": "what are the names of the channels that broadcast in both morning and night?", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : name (text) , channel_id (number) | broadcast : channel_id (number) , time_of_day (text)", "shrink-score": 0.7647058823529411}
{"db_id": "program_share", "question": "Which channels broadcast both in the morning and at night? Give me the channel names.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : name (text) , channel_id (number) | broadcast : channel_id (number) , time_of_day (text)", "shrink-score": 0.7647058823529411}
{"db_id": "program_share", "question": "how many programs are broadcast in each time section of the day?", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "broadcast : time_of_day (text) , channel_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "Count the number of programs broadcast for each time section of a day.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "broadcast : time_of_day (text) , channel_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "find the number of different programs that are broadcast during night time.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "broadcast : program_id (number) , time_of_day (text)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "How many distinct programs are broadcast at \"Night\" time?", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "broadcast : program_id (number) , time_of_day (text)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "Find the names of programs that are never broadcasted in the morning.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : name (text) , program_id (number) | broadcast : program_id (number) , time_of_day (text)", "shrink-score": 0.7647058823529411}
{"db_id": "program_share", "question": "Which programs are never broadcasted in the morning? Give me the names of the programs.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : name (text) , program_id (number) | broadcast : program_id (number) , time_of_day (text)", "shrink-score": 0.7647058823529411}
{"db_id": "program_share", "question": "find the program owners that have some programs in both morning and night time.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : owner (text) , program_id (number) | broadcast : program_id (number) , time_of_day (text)", "shrink-score": 0.7647058823529411}
{"db_id": "program_share", "question": "Who are the owners of the programs that broadcast both in the morning and at night?", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : owner (text) , program_id (number) | broadcast : program_id (number) , time_of_day (text)", "shrink-score": 0.7647058823529411}
{"db_id": "program_share", "question": "List all program origins in the alphabetical order.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : origin (text)", "shrink-score": 0.9411764705882353}
{"db_id": "program_share", "question": "What is the list of program origins ordered alphabetically?", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : origin (text)", "shrink-score": 0.9411764705882353}
{"db_id": "program_share", "question": "what is the number of different channel owners?", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : owner (text)", "shrink-score": 0.9411764705882353}
{"db_id": "program_share", "question": "Count the number of distinct channel owners.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : owner (text)", "shrink-score": 0.9411764705882353}
{"db_id": "program_share", "question": "find the names of programs whose origin is not in Beijing.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : name (text) , origin (text)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "Which programs' origins are not \"Beijing\"? Give me the program names.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : name (text) , origin (text)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "What are the names of the channels owned by CCTV or HBS?", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : name (text) , owner (text)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "List the names of all the channels owned by either CCTV or HBS", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : name (text) , owner (text)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "Find the total rating ratio for each channel owner.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : rating_in_percent (number) , owner (text)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "What is the total rating of channel for each channel owner?", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "channel : rating_in_percent (number) , owner (text)", "shrink-score": 0.8823529411764706}
{"db_id": "program_share", "question": "Find the name of the program that is broadcast most frequently.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : name (text) , program_id (number) | broadcast : program_id (number) , channel_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "program_share", "question": "Which program is broadcast most frequently? Give me the program name.", "schema": "program : program_id (number) , name (text) , origin (text) , launch (number) , owner (text) | channel : channel_id (number) , name (text) , owner (text) , share_in_percent (number) , rating_in_percent (number) | broadcast : channel_id (number) , program_id (number) , time_of_day (text) | broadcast_share : channel_id (number) , program_id (number) , date (text) , share_in_percent (number)", "summarized-schema": "program : name (text) , program_id (number) | broadcast : program_id (number) , channel_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "e_learning", "question": "How many courses are there in total?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_id (number)", "shrink-score": 0.96875}
{"db_id": "e_learning", "question": "Find the total number of courses offered.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_id (number)", "shrink-score": 0.96875}
{"db_id": "e_learning", "question": "What are the descriptions of the courses with name \"database\"?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_description (text) , course_name (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "Return the description for the courses named \"database\".", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_description (text) , course_name (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "What are the addresses of the course authors or tutors with personal name \"Cathrine\"", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : address_line_1 (text) , personal_name (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "Return the addresses of the course authors or tutors whose personal name is \"Cathrine\".", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : address_line_1 (text) , personal_name (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "List the addresses of all the course authors or tutors.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : address_line_1 (text)", "shrink-score": 0.96875}
{"db_id": "e_learning", "question": "What is the address of each course author or tutor?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : address_line_1 (text)", "shrink-score": 0.96875}
{"db_id": "e_learning", "question": "List all the login names and family names of course author and tutors.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : login_name (text) , family_name (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "What are the login names and family names of course author and tutors?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : login_name (text) , family_name (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "List all the dates of enrollment and completion of students.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : date_of_enrolment (time) , date_of_completion (time)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "What are all the dates of enrollment and completion in record?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : date_of_enrolment (time) , date_of_completion (time)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "How many distinct students are enrolled in courses?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : student_id (number)", "shrink-score": 0.96875}
{"db_id": "e_learning", "question": "Find the number of distinct students enrolled in courses.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : student_id (number)", "shrink-score": 0.96875}
{"db_id": "e_learning", "question": "How many distinct courses are enrolled in by students?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : course_id (number)", "shrink-score": 0.96875}
{"db_id": "e_learning", "question": "Find the number of distinct courses that have enrolled students.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : course_id (number)", "shrink-score": 0.96875}
{"db_id": "e_learning", "question": "Find the dates of the tests taken with result \"Pass\".", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_tests_taken : date_test_taken (time) , test_result (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "Which tests have \"Pass\" results? Return the dates when the tests were taken.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_tests_taken : date_test_taken (time) , test_result (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "How many tests have result \"Fail\"?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_tests_taken : test_result (text)", "shrink-score": 0.96875}
{"db_id": "e_learning", "question": "Count the number of tests with \"Fail\" result.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_tests_taken : test_result (text)", "shrink-score": 0.96875}
{"db_id": "e_learning", "question": "What are the login names of the students with family name \"Ward\"?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : login_name (text) , family_name (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "Return the login names of the students whose family name is \"Ward\".", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : login_name (text) , family_name (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "What are the dates of the latest logon of the students with family name \"Jaskolski\" or \"Langosh\"?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : date_of_latest_logon (time) , family_name (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "Find the latest logon date of the students whose family name is \"Jaskolski\" or \"Langosh\".", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : date_of_latest_logon (time) , family_name (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "How many students have personal names that contain the word \"son\"?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : personal_name (text) , student_id (number)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "Find the number of students who have the word \"son\" in their personal names.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : personal_name (text) , student_id (number)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "List all the subject names.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "subjects : subject_name (text)", "shrink-score": 0.96875}
{"db_id": "e_learning", "question": "What are the names of all the subjects.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "subjects : subject_name (text)", "shrink-score": 0.96875}
{"db_id": "e_learning", "question": "List all the information about course authors and tutors in alphabetical order of the personal name.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : personal_name (text) , author_id (number)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "Sort the information about course authors and tutors in alphabetical order of the personal name.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : personal_name (text) , author_id (number)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "List the personal names and family names of all the students in alphabetical order of family name.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : personal_name (text) , family_name (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "What are the personal names and family names of the students? Sort the result in alphabetical order of the family name.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : personal_name (text) , family_name (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "List each test result and its count in descending order of count.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_tests_taken : test_result (text)", "shrink-score": 0.96875}
{"db_id": "e_learning", "question": "For each distinct test result, find the number of students who got the result.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_tests_taken : test_result (text)", "shrink-score": 0.96875}
{"db_id": "e_learning", "question": "Find the login name of the course author that teaches the course with name \"advanced database\".", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : login_name (text) , author_id (number) | courses : author_id (number) , course_name (text)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Which course author teaches the \"advanced database\" course? Give me his or her login name.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : login_name (text) , author_id (number) | courses : author_id (number) , course_name (text)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Find the addresses of the course authors who teach the course with name \"operating system\" or \"data structure\".", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : address_line_1 (text) , author_id (number) | courses : author_id (number) , course_name (text)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "What are the addresses of the course authors who teach either \"operating system\" or \"data structure\" course.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : address_line_1 (text) , author_id (number) | courses : author_id (number) , course_name (text)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Find the personal name, family name, and author ID of the course author that teaches the most courses.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : personal_name (text) , family_name (text) , author_id (number) | courses : author_id (number) , course_id (number)", "shrink-score": 0.84375}
{"db_id": "e_learning", "question": "What are the personal name, family name, and author ID of the course author who teaches the most courses?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : personal_name (text) , family_name (text) , author_id (number) | courses : author_id (number) , course_id (number)", "shrink-score": 0.84375}
{"db_id": "e_learning", "question": "Find the addresses and author IDs of the course authors that teach at least two courses.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : address_line_1 (text) , author_id (number) | courses : author_id (number) , course_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Which course authors teach two or more courses? Give me their addresses and author IDs.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : address_line_1 (text) , author_id (number) | courses : author_id (number) , course_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Find the names of courses taught by the tutor who has personal name \"Julio\".", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_name (text) , author_id (number) | course_authors_and_tutors : author_id (number) , personal_name (text)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "What are the names of the courses taught by the tutor whose personal name is \"Julio\"?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_name (text) , author_id (number) | course_authors_and_tutors : author_id (number) , personal_name (text)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Find the names and descriptions of courses that belong to the subject named \"Computer Science\".", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_name (text) , course_description (text) , subject_id (number) | subjects : subject_id (number) , subject_name (text)", "shrink-score": 0.84375}
{"db_id": "e_learning", "question": "What are the names and descriptions of the all courses under the \"Computer Science\" subject?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_name (text) , course_description (text) , subject_id (number) | subjects : subject_id (number) , subject_name (text)", "shrink-score": 0.84375}
{"db_id": "e_learning", "question": "Find the subject ID, subject name, and the corresponding number of available courses for each subject.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "subjects : subject_id (number) , subject_name (text) | courses : subject_id (number) , course_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "What are the subject ID, subject name, and the number of available courses for each subject?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "subjects : subject_id (number) , subject_name (text) | courses : subject_id (number) , course_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Find the subject ID, name of subject and the corresponding number of courses for each subject, and sort by the course count in ascending order.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "subjects : subject_id (number) , subject_name (text) | courses : subject_id (number) , course_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "List the subject ID, name of subject and the number of courses available for each subject in ascending order of the course counts.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "subjects : subject_id (number) , subject_name (text) | courses : subject_id (number) , course_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "What is the date of enrollment of the course named \"Spanish\"?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : date_of_enrolment (time) , course_id (number) | courses : course_id (number) , course_name (text)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Find the the date of enrollment of the \"Spanish\" course.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : date_of_enrolment (time) , course_id (number) | courses : course_id (number) , course_name (text)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "What is the name of the course that has the most student enrollment?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_name (text) , course_id (number) | student_course_enrolment : course_id (number) , registration_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Which course is enrolled in by the most students? Give me the course name.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_name (text) , course_id (number) | student_course_enrolment : course_id (number) , registration_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "What are the names of the courses that have exactly 1 student enrollment?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_name (text) , course_id (number) | student_course_enrolment : course_id (number) , registration_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Find the names of the courses that have just one student enrollment.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_name (text) , course_id (number) | student_course_enrolment : course_id (number) , registration_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "What are the descriptions and names of the courses that have student enrollment bigger than 2?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_description (text) , course_name (text) , course_id (number) | student_course_enrolment : course_id (number) , registration_id (number)", "shrink-score": 0.84375}
{"db_id": "e_learning", "question": "Return the descriptions and names of the courses that have more than two students enrolled in.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_description (text) , course_name (text) , course_id (number) | student_course_enrolment : course_id (number) , registration_id (number)", "shrink-score": 0.84375}
{"db_id": "e_learning", "question": "What is the name of each course and the corresponding number of student enrollment?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_name (text) , course_id (number) | student_course_enrolment : course_id (number) , registration_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "List the name and the number of enrolled student for each course.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "courses : course_name (text) , course_id (number) | student_course_enrolment : course_id (number) , registration_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "What are the enrollment dates of all the tests that have result \"Pass\"?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : date_of_enrolment (time) , registration_id (number) | student_tests_taken : registration_id (number) , test_result (text)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Find the enrollment date for all the tests that have \"Pass\" result.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : date_of_enrolment (time) , registration_id (number) | student_tests_taken : registration_id (number) , test_result (text)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "What are the completion dates of all the tests that have result \"Fail\"?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : date_of_completion (time) , registration_id (number) | student_tests_taken : registration_id (number) , test_result (text)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Return the completion date for all the tests that have \"Fail\" result.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : date_of_completion (time) , registration_id (number) | student_tests_taken : registration_id (number) , test_result (text)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "List the dates of enrollment and completion of the student with personal name \"Karson\".", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : date_of_enrolment (time) , date_of_completion (time) , student_id (number) | students : student_id (number) , personal_name (text)", "shrink-score": 0.84375}
{"db_id": "e_learning", "question": "On what dates did the student whose personal name is \"Karson\" enroll in and complete the courses?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : date_of_enrolment (time) , date_of_completion (time) , student_id (number) | students : student_id (number) , personal_name (text)", "shrink-score": 0.84375}
{"db_id": "e_learning", "question": "List the dates of enrollment and completion of the student with family name \"Zieme\" and personal name \"Bernie\".", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : date_of_enrolment (time) , date_of_completion (time) , student_id (number) | students : student_id (number) , family_name (text) , personal_name (text)", "shrink-score": 0.8125}
{"db_id": "e_learning", "question": "On what dates did the student with family name \"Zieme\" and personal name \"Bernie\" enroll in and complete the courses?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "student_course_enrolment : date_of_enrolment (time) , date_of_completion (time) , student_id (number) | students : student_id (number) , family_name (text) , personal_name (text)", "shrink-score": 0.8125}
{"db_id": "e_learning", "question": "Find the student ID and login name of the student with the most course enrollments", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : student_id (number) , login_name (text) | student_course_enrolment : student_id (number) , registration_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "What are the student ID and login name of the student who are enrolled in the most courses?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : student_id (number) , login_name (text) | student_course_enrolment : student_id (number) , registration_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Find the student ID and personal name of the student with at least two enrollments.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : student_id (number) , personal_name (text) | student_course_enrolment : student_id (number) , registration_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Which student are enrolled in at least two courses? Give me the student ID and personal name.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : student_id (number) , personal_name (text) | student_course_enrolment : student_id (number) , registration_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Find the student ID and middle name for all the students with at most two enrollments.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : student_id (number) , middle_name (text) | student_course_enrolment : student_id (number) , registration_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "What are the student IDs and middle names of the students enrolled in at most two courses?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : student_id (number) , middle_name (text) | student_course_enrolment : student_id (number) , registration_id (number)", "shrink-score": 0.875}
{"db_id": "e_learning", "question": "Find the personal names of students not enrolled in any course.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : personal_name (text) , student_id (number) | student_course_enrolment : student_id (number)", "shrink-score": 0.90625}
{"db_id": "e_learning", "question": "Which students not enrolled in any course? Find their personal names.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : personal_name (text) , student_id (number) | student_course_enrolment : student_id (number)", "shrink-score": 0.90625}
{"db_id": "e_learning", "question": "How many students did not have any course enrollment?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : student_id (number) | student_course_enrolment : student_id (number) , registration_id (number)", "shrink-score": 0.90625}
{"db_id": "e_learning", "question": "Count the number of students who did not enroll in any course.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "students : student_id (number) | student_course_enrolment : student_id (number) , registration_id (number)", "shrink-score": 0.90625}
{"db_id": "e_learning", "question": "Find the common login name of course authors and students.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : login_name (text) | students : login_name (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "What are the login names used both by some course authors and some students?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : login_name (text) | students : login_name (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "Find the common personal name of course authors and students.", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : personal_name (text) | students : personal_name (text)", "shrink-score": 0.9375}
{"db_id": "e_learning", "question": "What are the personal names used both by some course authors and some students?", "schema": "course_authors_and_tutors : author_id (number) , author_tutor_atb (text) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) , gender_mf (text) , address_line_1 (text) | students : student_id (number) , date_of_registration (time) , date_of_latest_logon (time) , login_name (text) , password (text) , personal_name (text) , middle_name (text) , family_name (text) | subjects : subject_id (number) , subject_name (text) | courses : course_id (number) , author_id (number) , subject_id (number) , course_name (text) , course_description (text) | student_course_enrolment : registration_id (number) , student_id (number) , course_id (number) , date_of_enrolment (time) , date_of_completion (time) | student_tests_taken : registration_id (number) , date_test_taken (time) , test_result (text)", "summarized-schema": "course_authors_and_tutors : personal_name (text) | students : personal_name (text)", "shrink-score": 0.9375}
{"db_id": "insurance_policies", "question": "Which claims caused more than 2 settlements or have the maximum claim value? List the date the claim was made and the claim id.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : date_claim_made (time) , claim_id (number) , amount_claimed (number) | settlements : date_claim_made (time) , claim_id (number) , amount_claimed (number) , settlement_id (number)", "shrink-score": 0.72}
{"db_id": "insurance_policies", "question": "Find the claims that led to more than two settlements or have the maximum claim value. For each of them, return the date the claim was made and the id of the claim.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : date_claim_made (time) , claim_id (number) , amount_claimed (number) | settlements : date_claim_made (time) , claim_id (number) , amount_claimed (number) , settlement_id (number)", "shrink-score": 0.72}
{"db_id": "insurance_policies", "question": "Which customer had at least 2 policies but did not file any claims? List the customer details and id.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | customer_policies : customer_id (number) , policy_id (number) | claims : policy_id (number) , claim_id (number)", "shrink-score": 0.76}
{"db_id": "insurance_policies", "question": "Give me the the customer details and id for the customers who had two or more policies but did not file any claims.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | customer_policies : customer_id (number) , policy_id (number) | claims : policy_id (number) , claim_id (number)", "shrink-score": 0.76}
{"db_id": "insurance_policies", "question": "List the method, date and amount of all the payments, in ascending order of date.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "payments : payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "shrink-score": 0.88}
{"db_id": "insurance_policies", "question": "What are the method, date and amount of each payment? Sort the list in ascending order of date.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "payments : payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "shrink-score": 0.88}
{"db_id": "insurance_policies", "question": "Among all the claims, what is the settlement amount of the claim with the largest claim amount? List both the settlement amount and claim amount.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : amount_settled (number) , amount_claimed (number)", "shrink-score": 0.92}
{"db_id": "insurance_policies", "question": "Find the settlement amount of the claim with the largest claim amount. Show both the settlement amount and claim amount.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : amount_settled (number) , amount_claimed (number)", "shrink-score": 0.92}
{"db_id": "insurance_policies", "question": "Among all the claims, what is the amount claimed in the claim with the least amount settled? List both the settlement amount and claim amount.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : amount_settled (number) , amount_claimed (number)", "shrink-score": 0.92}
{"db_id": "insurance_policies", "question": "Find the claimed amount in the claim with the least amount settled. Show both the settlement amount and claim amount.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : amount_settled (number) , amount_claimed (number)", "shrink-score": 0.92}
{"db_id": "insurance_policies", "question": "Among all the claims, which claims have a claimed amount larger than the average? List the date the claim was made and the date it was settled.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : date_claim_made (time) , date_claim_settled (time) , amount_claimed (number)", "shrink-score": 0.88}
{"db_id": "insurance_policies", "question": "Give me the claim date, settlement date for all the claims whose claimed amount is larger than the average.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : date_claim_made (time) , date_claim_settled (time) , amount_claimed (number)", "shrink-score": 0.88}
{"db_id": "insurance_policies", "question": "Among all the claims, which settlements have a claimed amount that is no more than the average? List the claim start date.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : date_claim_made (time) , amount_settled (number)", "shrink-score": 0.92}
{"db_id": "insurance_policies", "question": "Return the claim start date for the claims whose claimed amount is no more than the average", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : date_claim_made (time) , amount_settled (number)", "shrink-score": 0.92}
{"db_id": "insurance_policies", "question": "How many settlements does each claim correspond to? List the claim id and the number of settlements.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : claim_id (number) | settlements : claim_id (number) , settlement_id (number)", "shrink-score": 0.88}
{"db_id": "insurance_policies", "question": "Find the number of settlements each claim corresponds to. Show the number together with the claim id.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : claim_id (number) | settlements : claim_id (number) , settlement_id (number)", "shrink-score": 0.88}
{"db_id": "insurance_policies", "question": "Which claim incurred the most number of settlements? List the claim id, the date the claim was made, and the number.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : claim_id (number) , date_claim_made (time) | settlements : claim_id (number) , date_claim_made (time) , settlement_id (number)", "shrink-score": 0.8}
{"db_id": "insurance_policies", "question": "Find the claim id and claim date of the claim that incurred the most settlement count. Also tell me the count.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : claim_id (number) , date_claim_made (time) | settlements : claim_id (number) , date_claim_made (time) , settlement_id (number)", "shrink-score": 0.8}
{"db_id": "insurance_policies", "question": "How many settlements were made on the claim with the most recent claim settlement date? List the number and the claim id.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : claim_id (number) , date_claim_settled (time) | settlements : claim_id (number) , date_claim_settled (time) , settlement_id (number)", "shrink-score": 0.8}
{"db_id": "insurance_policies", "question": "Find the claim id and the number of settlements made for the claim with the most recent settlement date.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : claim_id (number) , date_claim_settled (time) | settlements : claim_id (number) , date_claim_settled (time) , settlement_id (number)", "shrink-score": 0.8}
{"db_id": "insurance_policies", "question": "Of all the claims, what was the earliest date when any claim was made?", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : date_claim_made (time)", "shrink-score": 0.96}
{"db_id": "insurance_policies", "question": "Tell me the the date when the first claim was made.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : date_claim_made (time)", "shrink-score": 0.96}
{"db_id": "insurance_policies", "question": "What is the total amount of settlement made for all the settlements?", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "settlements : amount_settled (number)", "shrink-score": 0.96}
{"db_id": "insurance_policies", "question": "Compute the total amount of settlement across all the settlements.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "settlements : amount_settled (number)", "shrink-score": 0.96}
{"db_id": "insurance_policies", "question": "Who are the customers that had more than 1 policy? List the customer details and id.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | customer_policies : customer_id (number) , policy_id (number)", "shrink-score": 0.84}
{"db_id": "insurance_policies", "question": "Find the the customer details and id for the customers who had more than one policy.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | customer_policies : customer_id (number) , policy_id (number)", "shrink-score": 0.84}
{"db_id": "insurance_policies", "question": "What are the claim dates and settlement dates of all the settlements?", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "settlements : date_claim_made (time) , date_claim_settled (time)", "shrink-score": 0.92}
{"db_id": "insurance_policies", "question": "Tell me the the claim date and settlement date for each settlement case.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "settlements : date_claim_made (time) , date_claim_settled (time)", "shrink-score": 0.92}
{"db_id": "insurance_policies", "question": "What is the most popular payment method?", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "payments : payment_method_code (text) , payment_id (number)", "shrink-score": 0.92}
{"db_id": "insurance_policies", "question": "Which payment method is used the most often?", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "payments : payment_method_code (text) , payment_id (number)", "shrink-score": 0.92}
{"db_id": "insurance_policies", "question": "With which kind of payment method were the least number of payments processed?", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "payments : payment_method_code (text) , payment_id (number)", "shrink-score": 0.92}
{"db_id": "insurance_policies", "question": "What is the payment method that were used the least often?", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "payments : payment_method_code (text) , payment_id (number)", "shrink-score": 0.92}
{"db_id": "insurance_policies", "question": "What is the total amount of payment?", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "payments : amount_payment (number)", "shrink-score": 0.96}
{"db_id": "insurance_policies", "question": "Compute the total amount of payment processed.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "payments : amount_payment (number)", "shrink-score": 0.96}
{"db_id": "insurance_policies", "question": "What are all the distinct details of the customers?", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "customers : customer_details (text)", "shrink-score": 0.96}
{"db_id": "insurance_policies", "question": "Return the distinct customer details.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "customers : customer_details (text)", "shrink-score": 0.96}
{"db_id": "insurance_policies", "question": "Which kind of policy type was chosen by the most customers?", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "customer_policies : policy_type_code (text) , policy_id (number)", "shrink-score": 0.92}
{"db_id": "insurance_policies", "question": "Find the policy type the most customers choose.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "customer_policies : policy_type_code (text) , policy_id (number)", "shrink-score": 0.92}
{"db_id": "insurance_policies", "question": "How many settlements are there in total?", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "settlements : settlement_id (number)", "shrink-score": 0.96}
{"db_id": "insurance_policies", "question": "Count the total number of settlements made.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "settlements : settlement_id (number)", "shrink-score": 0.96}
{"db_id": "insurance_policies", "question": "Which Payments were processed with Visa? List the payment Id, the date and the amount.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "payments : payment_id (number) , date_payment_made (time) , amount_payment (number) , payment_method_code (text)", "shrink-score": 0.84}
{"db_id": "insurance_policies", "question": "Give me the payment Id, the date and the amount for all the payments processed with Visa.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "payments : payment_id (number) , date_payment_made (time) , amount_payment (number) , payment_method_code (text)", "shrink-score": 0.84}
{"db_id": "insurance_policies", "question": "List the details of the customers who do not have any policies.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | customer_policies : customer_id (number)", "shrink-score": 0.88}
{"db_id": "insurance_policies", "question": "Which customers do not have any policies? Find the details of these customers.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | customer_policies : customer_id (number)", "shrink-score": 0.88}
{"db_id": "insurance_policies", "question": "List the date the claim was made, the date it was settled and the amount settled for all the claims which had exactly one settlement.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : claim_id (number) , date_claim_made (time) , date_claim_settled (time) | settlements : claim_id (number) , date_claim_made (time) , date_claim_settled (time) , settlement_id (number)", "shrink-score": 0.72}
{"db_id": "insurance_policies", "question": "Which claims had exactly one settlement? For each, tell me the the date the claim was made, the date it was settled and the amount settled.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : claim_id (number) , date_claim_made (time) , date_claim_settled (time) | settlements : claim_id (number) , date_claim_made (time) , date_claim_settled (time) , settlement_id (number)", "shrink-score": 0.72}
{"db_id": "insurance_policies", "question": "Find the total claimed amount of all the claims.", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : amount_claimed (number)", "shrink-score": 0.96}
{"db_id": "insurance_policies", "question": "What is total amount claimed summed across all the claims?", "schema": "customers : customer_id (number) , customer_details (text) | customer_policies : policy_id (number) , customer_id (number) , policy_type_code (text) , start_date (time) , end_date (time) | claims : claim_id (number) , policy_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) | settlements : settlement_id (number) , claim_id (number) , date_claim_made (time) , date_claim_settled (time) , amount_claimed (number) , amount_settled (number) , customer_policy_id (number) | payments : payment_id (number) , settlement_id (number) , payment_method_code (text) , date_payment_made (time) , amount_payment (number)", "summarized-schema": "claims : amount_claimed (number)", "shrink-score": 0.96}
{"db_id": "hospital_1", "question": "Which department has the largest number of employees?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "department : name (text) , departmentid (number)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "Find the department with the most employees.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "department : name (text) , departmentid (number)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "What is the employee id of the head whose department has the least number of employees?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "department : head (number) , departmentid (number)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "Tell me the employee id of the head of the department with the least employees.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "department : head (number) , departmentid (number)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "what is the name and position of the head whose department has least number of employees?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , position (text) , employeeid (number) | department : name (text) , head (number) , departmentid (number)", "shrink-score": 0.9117647058823529}
{"db_id": "hospital_1", "question": "Find the name and position of the head of the department with the least employees.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , position (text) , employeeid (number) | department : name (text) , head (number) , departmentid (number)", "shrink-score": 0.9117647058823529}
{"db_id": "hospital_1", "question": "What are names of patients who made an appointment?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "patient : name (text) , ssn (number) | appointment : patient (number)", "shrink-score": 0.9558823529411765}
{"db_id": "hospital_1", "question": "List the names of patients who have made appointments.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "patient : name (text) , ssn (number) | appointment : patient (number)", "shrink-score": 0.9558823529411765}
{"db_id": "hospital_1", "question": "what are name and phone number of patients who had more than one appointment?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "patient : name (text) , phone (text) , ssn (number) | appointment : patient (number) , appointmentid (number)", "shrink-score": 0.9264705882352942}
{"db_id": "hospital_1", "question": "Which patients made more than one appointment? Tell me the name and phone number of these patients.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "patient : name (text) , phone (text) , ssn (number) | appointment : patient (number) , appointmentid (number)", "shrink-score": 0.9264705882352942}
{"db_id": "hospital_1", "question": "Find the id of the appointment with the most recent start date?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "appointment : appointmentid (number) , start (time)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "What is the id of the appointment that started most recently?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "appointment : appointmentid (number) , start (time)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "List the name of physicians who took some appointment.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | appointment : physician (number)", "shrink-score": 0.9558823529411765}
{"db_id": "hospital_1", "question": "What are the names of all the physicians who took appointments.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | appointment : physician (number)", "shrink-score": 0.9558823529411765}
{"db_id": "hospital_1", "question": "List the name of physicians who never took any appointment.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | appointment : physician (number)", "shrink-score": 0.9558823529411765}
{"db_id": "hospital_1", "question": "Which physicians have never taken any appointment? Find their names.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | appointment : physician (number)", "shrink-score": 0.9558823529411765}
{"db_id": "hospital_1", "question": "Find the names of all physicians and their primary affiliated departments' names.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | department : name (text) , departmentid (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "What are the name and primarily affiliated department name of each physician?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | department : name (text) , departmentid (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "What is the name of the patient who made the most recent appointment?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "patient : name (text) , ssn (number) | appointment : patient (number) , start (time)", "shrink-score": 0.9411764705882353}
{"db_id": "hospital_1", "question": "Find the name of the patient who made the appointment with the most recent start date.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "patient : name (text) , ssn (number) | appointment : patient (number) , start (time)", "shrink-score": 0.9411764705882353}
{"db_id": "hospital_1", "question": "How many patients stay in room 112?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "stay : patient (number) , room (number)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "Count the number of patients who stayed in room 112.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "stay : patient (number) , room (number)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "How many patients' prescriptions are made by physician John Dorian?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : ssn (number) , employeeid (number) , name (text) | patient : ssn (number) , name (text) | prescribes : patient (number) , physician (number)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "Find the number of patients' prescriptions physician John Dorian made.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : ssn (number) , employeeid (number) , name (text) | patient : ssn (number) , name (text) | prescribes : patient (number) , physician (number)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "Find the name of medication used on the patient who stays in room 111?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "patient : name (text) , ssn (number) | medication : name (text) , code (number) | prescribes : patient (number) , medication (number) | stay : patient (number) , room (number)", "shrink-score": 0.8823529411764706}
{"db_id": "hospital_1", "question": "What is the name of the medication used for the patient staying in room 111?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "patient : name (text) , ssn (number) | medication : name (text) , code (number) | prescribes : patient (number) , medication (number) | stay : patient (number) , room (number)", "shrink-score": 0.8823529411764706}
{"db_id": "hospital_1", "question": "Find the patient who most recently stayed in room 111.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "stay : patient (number) , room (number) , staystart (time)", "shrink-score": 0.9558823529411765}
{"db_id": "hospital_1", "question": "What is the id of the patient who stayed in room 111 most recently?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "stay : patient (number) , room (number) , staystart (time)", "shrink-score": 0.9558823529411765}
{"db_id": "hospital_1", "question": "What is the name of the nurse has the most appointments?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "nurse : name (text) , employeeid (number) | appointment : prepnurse (number) , appointmentid (number)", "shrink-score": 0.9411764705882353}
{"db_id": "hospital_1", "question": "Find the name of the nurse who has the largest number of appointments.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "nurse : name (text) , employeeid (number) | appointment : prepnurse (number) , appointmentid (number)", "shrink-score": 0.9411764705882353}
{"db_id": "hospital_1", "question": "How many patients do each physician take care of? List their names and number of patients they take care of.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | patient : name (text) , pcp (number) , ssn (number)", "shrink-score": 0.9264705882352942}
{"db_id": "hospital_1", "question": "Return the name of each physician and the number of patients he or she treats.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | patient : name (text) , pcp (number) , ssn (number)", "shrink-score": 0.9264705882352942}
{"db_id": "hospital_1", "question": "Find the name of physicians who are in charge of more than one patient.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | patient : name (text) , pcp (number) , ssn (number)", "shrink-score": 0.9264705882352942}
{"db_id": "hospital_1", "question": "Which physicians are in charge of more than one patient? Give me their names.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | patient : name (text) , pcp (number) , ssn (number)", "shrink-score": 0.9264705882352942}
{"db_id": "hospital_1", "question": "Find the number of rooms located on each block floor.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "block : blockfloor (number) , blockcode (number) | room : blockfloor (number) , blockcode (number) , roomnumber (number)", "shrink-score": 0.9264705882352942}
{"db_id": "hospital_1", "question": "How many rooms does each block floor have?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "block : blockfloor (number) , blockcode (number) | room : blockfloor (number) , blockcode (number) , roomnumber (number)", "shrink-score": 0.9264705882352942}
{"db_id": "hospital_1", "question": "Find the number of rooms for different block code?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "block : blockcode (number) , blockfloor (number) | room : blockcode (number) , blockfloor (number) , roomnumber (number)", "shrink-score": 0.9264705882352942}
{"db_id": "hospital_1", "question": "How many rooms are located for each block code?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "block : blockcode (number) , blockfloor (number) | room : blockcode (number) , blockfloor (number) , roomnumber (number)", "shrink-score": 0.9264705882352942}
{"db_id": "hospital_1", "question": "What are the unique block codes that have available rooms?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "room : blockcode (number) , unavailable (boolean)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "Tell me the distinct block codes where some rooms are available.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "room : blockcode (number) , unavailable (boolean)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "How many different types of rooms are there?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "room : roomtype (text)", "shrink-score": 0.9852941176470589}
{"db_id": "hospital_1", "question": "Find the number of distinct room types available.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "room : roomtype (text)", "shrink-score": 0.9852941176470589}
{"db_id": "hospital_1", "question": "What is the names of the physicians who prescribe medication Thesisin?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | medication : name (text) , code (number) | prescribes : physician (number) , medication (number)", "shrink-score": 0.9117647058823529}
{"db_id": "hospital_1", "question": "List the names of all the physicians who prescribe Thesisin as medication.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | medication : name (text) , code (number) | prescribes : physician (number) , medication (number)", "shrink-score": 0.9117647058823529}
{"db_id": "hospital_1", "question": "Find the name and position of physicians who prescribe some medication whose brand is X?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , position (text) , employeeid (number) | medication : name (text) , code (number) , brand (text) | prescribes : physician (number) , medication (number)", "shrink-score": 0.8823529411764706}
{"db_id": "hospital_1", "question": "Which physicians prescribe a medication of brand X? Tell me the name and position of those physicians.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , position (text) , employeeid (number) | medication : name (text) , code (number) , brand (text) | prescribes : physician (number) , medication (number)", "shrink-score": 0.8823529411764706}
{"db_id": "hospital_1", "question": "Find the number of medications prescribed for each brand.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "medication : name (text) , code (number) , brand (text) | prescribes : medication (number) , physician (number)", "shrink-score": 0.9264705882352942}
{"db_id": "hospital_1", "question": "How many medications are prescribed for each brand?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "medication : name (text) , code (number) , brand (text) | prescribes : medication (number) , physician (number)", "shrink-score": 0.9264705882352942}
{"db_id": "hospital_1", "question": "Find the name of physicians whose position title contains the word 'senior'.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , position (text)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "What are the names of the physicians who have 'senior' in their titles.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , position (text)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "Find the patient who has the most recent undergoing treatment?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "undergoes : patient (number) , dateundergoes (time)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "Which patient is undergoing the most recent treatment?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "undergoes : patient (number) , dateundergoes (time)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "Find the names of all patients who have an undergoing treatment and are staying in room 111.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "patient : name (text) , ssn (number) | stay : patient (number) , stayid (number) , room (number) | undergoes : patient (number) , stay (number)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "What are the names of patients who are staying in room 111 and have an undergoing treatment?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "patient : name (text) , ssn (number) | stay : patient (number) , stayid (number) , room (number) | undergoes : patient (number) , stay (number)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "List the names of all distinct nurses ordered by alphabetical order?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "nurse : name (text)", "shrink-score": 0.9852941176470589}
{"db_id": "hospital_1", "question": "What is the alphabetically ordered list of all the distinct names of nurses?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "nurse : name (text)", "shrink-score": 0.9852941176470589}
{"db_id": "hospital_1", "question": "Find the names of nurses who are nursing an undergoing treatment.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "nurse : name (text) , employeeid (number) | undergoes : assistingnurse (number)", "shrink-score": 0.9558823529411765}
{"db_id": "hospital_1", "question": "Which nurses are in charge of patients undergoing treatments?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "nurse : name (text) , employeeid (number) | undergoes : assistingnurse (number)", "shrink-score": 0.9558823529411765}
{"db_id": "hospital_1", "question": "List the names of all distinct medications, ordered in an alphabetical order.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "medication : name (text)", "shrink-score": 0.9852941176470589}
{"db_id": "hospital_1", "question": "What is the alphabetically ordered list of all distinct medications?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "medication : name (text)", "shrink-score": 0.9852941176470589}
{"db_id": "hospital_1", "question": "What are the names of the physician who prescribed the highest dose?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | prescribes : physician (number) , dose (text)", "shrink-score": 0.9411764705882353}
{"db_id": "hospital_1", "question": "Find the physician who prescribed the highest dose. What is his or her name?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | prescribes : physician (number) , dose (text)", "shrink-score": 0.9411764705882353}
{"db_id": "hospital_1", "question": "List the physicians' employee ids together with their primary affiliation departments' ids.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean)", "shrink-score": 0.9558823529411765}
{"db_id": "hospital_1", "question": "What are each physician's employee id and department id primarily affiliated.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean)", "shrink-score": 0.9558823529411765}
{"db_id": "hospital_1", "question": "List the names of departments where some physicians are primarily affiliated with.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "department : name (text) , departmentid (number) | affiliated_with : department (number) , primaryaffiliation (boolean)", "shrink-score": 0.9411764705882353}
{"db_id": "hospital_1", "question": "What are the names of departments that have primarily affiliated physicians.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "department : name (text) , departmentid (number) | affiliated_with : department (number) , primaryaffiliation (boolean)", "shrink-score": 0.9411764705882353}
{"db_id": "hospital_1", "question": "What nurses are on call with block floor 1 and block code 1? Tell me their names.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "on_call : nurse (number) , blockfloor (number) , blockcode (number)", "shrink-score": 0.9558823529411765}
{"db_id": "hospital_1", "question": "Find the ids of the nurses who are on call in block floor 1 and block code 1.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "on_call : nurse (number) , blockfloor (number) , blockcode (number)", "shrink-score": 0.9558823529411765}
{"db_id": "hospital_1", "question": "What are the highest cost, lowest cost and average cost of procedures?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "procedures : cost (number)", "shrink-score": 0.9852941176470589}
{"db_id": "hospital_1", "question": "Tell me the highest, lowest, and average cost of procedures.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "procedures : cost (number)", "shrink-score": 0.9852941176470589}
{"db_id": "hospital_1", "question": "List the name and cost of all procedures sorted by the cost from the highest to the lowest.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "procedures : name (text) , cost (number)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "Sort the list of names and costs of all procedures in the descending order of cost.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "procedures : name (text) , cost (number)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "Find the three most expensive procedures.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "procedures : name (text) , cost (number)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "What are the three most costly procedures?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "procedures : name (text) , cost (number)", "shrink-score": 0.9705882352941176}
{"db_id": "hospital_1", "question": "Find the physicians who are trained in a procedure that costs more than 5000.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | procedures : name (text) , code (number) , cost (number) | trained_in : physician (number) , treatment (number)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "Which physicians are trained in procedures that are more expensive than 5000?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | procedures : name (text) , code (number) , cost (number) | trained_in : physician (number) , treatment (number)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "Find the physician who was trained in the most expensive procedure?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | procedures : name (text) , code (number) , cost (number) | trained_in : physician (number) , treatment (number)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "Which physician was trained in the procedure that costs the most.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | procedures : name (text) , code (number) , cost (number) | trained_in : physician (number) , treatment (number)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "What is the average cost of procedures that physician John Wen was trained in?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "procedures : cost (number) , code (number) , name (text) | trained_in : physician (number) , treatment (number) | physician : employeeid (number) , name (text)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "Compute the mean price of procedures physician John Wen was trained in.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "procedures : cost (number) , code (number) , name (text) | trained_in : physician (number) , treatment (number) | physician : employeeid (number) , name (text)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "Find the names of procedures which physician John Wen was trained in.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | procedures : name (text) , code (number) | trained_in : physician (number) , treatment (number)", "shrink-score": 0.9117647058823529}
{"db_id": "hospital_1", "question": "What are the names of procedures physician John Wen was trained in?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | procedures : name (text) , code (number) | trained_in : physician (number) , treatment (number)", "shrink-score": 0.9117647058823529}
{"db_id": "hospital_1", "question": "Find all procedures which cost more than 1000 or which physician John Wen was trained in.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | procedures : name (text) , cost (number) , code (number) | trained_in : physician (number) , treatment (number)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "What are the procedures that cost more than 1000 or are specialized in by physician John Wen?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | procedures : name (text) , cost (number) , code (number) | trained_in : physician (number) , treatment (number)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "Find the names of all procedures which cost more than 1000 but which physician John Wen was not trained in?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | procedures : name (text) , cost (number) , code (number) | trained_in : physician (number) , treatment (number)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "Among the procedures that cost more than 1000, which were not specialized in by physician John Wen?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | procedures : name (text) , cost (number) , code (number) | trained_in : physician (number) , treatment (number)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "Find the names of all procedures such that the cost is less than 5000 and physician John Wen was trained in.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | procedures : name (text) , cost (number) , code (number) | trained_in : physician (number) , treatment (number)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "What procedures cost less than 5000 and have John Wen as a trained physician?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | procedures : name (text) , cost (number) , code (number) | trained_in : physician (number) , treatment (number)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "Find the name of physicians who are affiliated with both Surgery and Psychiatry departments.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | department : name (text) , departmentid (number) | affiliated_with : physician (number) , department (number)", "shrink-score": 0.9117647058823529}
{"db_id": "hospital_1", "question": "Which physicians are affiliated with both Surgery and Psychiatry departments? Tell me their names.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | department : name (text) , departmentid (number) | affiliated_with : physician (number) , department (number)", "shrink-score": 0.9117647058823529}
{"db_id": "hospital_1", "question": "Find the name of physicians who are affiliated with Surgery or Psychiatry department.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | department : name (text) , departmentid (number) | affiliated_with : physician (number) , department (number)", "shrink-score": 0.9117647058823529}
{"db_id": "hospital_1", "question": "Which physicians are affiliated with either Surgery or Psychiatry department? Give me their names.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "physician : name (text) , employeeid (number) | department : name (text) , departmentid (number) | affiliated_with : physician (number) , department (number)", "shrink-score": 0.9117647058823529}
{"db_id": "hospital_1", "question": "Find the names of patients who are not using the medication of Procrastin-X.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "patient : name (text) , ssn (number) | medication : name (text) , code (number) | prescribes : patient (number) , medication (number)", "shrink-score": 0.9117647058823529}
{"db_id": "hospital_1", "question": "What are the names of patients who are not taking the medication of Procrastin-X.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "patient : name (text) , ssn (number) | medication : name (text) , code (number) | prescribes : patient (number) , medication (number)", "shrink-score": 0.9117647058823529}
{"db_id": "hospital_1", "question": "Find the number of patients who are not using the medication of Procrastin-X.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "prescribes : patient (number) , medication (number) , physician (number) | patient : ssn (number) , name (text) | medication : code (number) , name (text)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "How many patients are not using Procrastin-X as medication?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "prescribes : patient (number) , medication (number) , physician (number) | patient : ssn (number) , name (text) | medication : code (number) , name (text)", "shrink-score": 0.8970588235294118}
{"db_id": "hospital_1", "question": "How many appointments are there?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "appointment : appointmentid (number)", "shrink-score": 0.9852941176470589}
{"db_id": "hospital_1", "question": "Count how many appointments have been made in total.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "appointment : appointmentid (number)", "shrink-score": 0.9852941176470589}
{"db_id": "hospital_1", "question": "Find the names of nurses who are on call.", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "nurse : name (text) , employeeid (number) | on_call : nurse (number)", "shrink-score": 0.9558823529411765}
{"db_id": "hospital_1", "question": "What are the distinct names of nurses on call?", "schema": "physician : employeeid (number) , name (text) , position (text) , ssn (number) | department : departmentid (number) , name (text) , head (number) | affiliated_with : physician (number) , department (number) , primaryaffiliation (boolean) | procedures : code (number) , name (text) , cost (number) | trained_in : physician (number) , treatment (number) , certificationdate (time) , certificationexpires (time) | patient : ssn (number) , name (text) , address (text) , phone (text) , insuranceid (number) , pcp (number) | nurse : employeeid (number) , name (text) , position (text) , registered (boolean) , ssn (number) | appointment : appointmentid (number) , patient (number) , prepnurse (number) , physician (number) , start (time) , end (time) , examinationroom (text) | medication : code (number) , name (text) , brand (text) , description (text) | prescribes : physician (number) , patient (number) , medication (number) , date (time) , appointment (number) , dose (text) | block : blockfloor (number) , blockcode (number) | room : roomnumber (number) , roomtype (text) , blockfloor (number) , blockcode (number) , unavailable (boolean) | on_call : nurse (number) , blockfloor (number) , blockcode (number) , oncallstart (time) , oncallend (time) | stay : stayid (number) , patient (number) , room (number) , staystart (time) , stayend (time) | undergoes : patient (number) , procedures (number) , stay (number) , dateundergoes (time) , physician (number) , assistingnurse (number)", "summarized-schema": "nurse : name (text) , employeeid (number) | on_call : nurse (number)", "shrink-score": 0.9558823529411765}
{"db_id": "ship_mission", "question": "How many ships are there?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : ship_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "ship_mission", "question": "What is the number of ships?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : ship_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "ship_mission", "question": "List the name of ships in ascending order of tonnage.", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : name (text) , tonnage (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "what are the names of the ships ordered by ascending tonnage?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : name (text) , tonnage (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "What are the type and nationality of ships?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : type (text) , nationality (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "What are the types and nationalities of every ship?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : type (text) , nationality (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "List the name of ships whose nationality is not \"United States\".", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : name (text) , nationality (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "What are the names of the ships that are not from the United States?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : name (text) , nationality (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "Show the name of ships whose nationality is either United States or United Kingdom.", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : name (text) , nationality (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "What are the names of the ships  that are from either the US or the UK?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : name (text) , nationality (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "What is the name of the ship with the largest tonnage?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : name (text) , tonnage (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "What is the ship with the largest amount of tonnage called?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : name (text) , tonnage (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "Show different types of ships and the number of ships of each type.", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : type (text) , ship_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "For each type, how many ships are there?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : type (text) , ship_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "Please show the most common type of ships.", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : type (text) , ship_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "What is the most common type of ships?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : type (text) , ship_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "List the nations that have more than two ships.", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : nationality (text) , ship_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "What are the nations that have more than two ships?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : nationality (text) , ship_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "Show different types of ships and the average tonnage of ships of each type.", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : type (text) , tonnage (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "For each type, what is the average tonnage?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : type (text) , tonnage (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "Show codes and fates of missions, and names of ships involved.", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "mission : code (text) , fate (text) , ship_id (number) | ship : name (text) , ship_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "ship_mission", "question": "What are the mission codes, fates, and names of the ships involved?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "mission : code (text) , fate (text) , ship_id (number) | ship : name (text) , ship_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "ship_mission", "question": "Show names of ships involved in a mission launched after 1928.", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : name (text) , ship_id (number) | mission : ship_id (number) , launched_year (number)", "shrink-score": 0.6666666666666666}
{"db_id": "ship_mission", "question": "What are the names of ships that were involved in a mission launched after 1928?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : name (text) , ship_id (number) | mission : ship_id (number) , launched_year (number)", "shrink-score": 0.6666666666666666}
{"db_id": "ship_mission", "question": "Show the distinct fate of missions that involve ships with nationality \"United States\"", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "mission : fate (text) , ship_id (number) | ship : ship_id (number) , nationality (text)", "shrink-score": 0.6666666666666666}
{"db_id": "ship_mission", "question": "What are the different fates of the mission that involved ships from the United States?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "mission : fate (text) , ship_id (number) | ship : ship_id (number) , nationality (text)", "shrink-score": 0.6666666666666666}
{"db_id": "ship_mission", "question": "List the name of ships that are not involved in any mission", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : name (text) , ship_id (number) | mission : ship_id (number)", "shrink-score": 0.75}
{"db_id": "ship_mission", "question": "What are the names of the ships that are not involved in any missions?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : name (text) , ship_id (number) | mission : ship_id (number)", "shrink-score": 0.75}
{"db_id": "ship_mission", "question": "Show the types of ships that have both ships with tonnage larger than 6000 and ships with tonnage smaller than 4000.", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : type (text) , tonnage (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_mission", "question": "What are the types of the ships that have both shiips with tonnage more than 6000 and those with tonnage less than 4000?", "schema": "mission : mission_id (number) , ship_id (number) , code (text) , launched_year (number) , location (text) , speed_knots (number) , fate (text) | ship : ship_id (number) , name (text) , type (text) , nationality (text) , tonnage (number)", "summarized-schema": "ship : type (text) , tonnage (number)", "shrink-score": 0.8333333333333334}
{"db_id": "student_1", "question": "Find the number of students in total.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : lastname (text)", "shrink-score": 0.8571428571428571}
{"db_id": "student_1", "question": "How many students are there?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : lastname (text)", "shrink-score": 0.8571428571428571}
{"db_id": "student_1", "question": "Find the last names of students studying in room 111.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : lastname (text) , classroom (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "What are the last names of students in room 111?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : lastname (text) , classroom (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Find the first names of students studying in room 108.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , classroom (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "What are the first names of students in room 108?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , classroom (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "What are the first names of students studying in room 107?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , classroom (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "List the first names of all the students in room 107.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , classroom (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "For each classroom report the grade that is taught in it. Report just the classroom number and the grade number.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , grade (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "What are the grade number and classroom number of each class in the list?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , grade (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Which grade is studying in classroom 103?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : grade (number) , classroom (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Find the grade taught in classroom 103.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : grade (number) , classroom (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Find the grade studying in room 105.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : grade (number) , classroom (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Which grade is studying in room 105?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : grade (number) , classroom (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Which classrooms are used by grade 4?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , grade (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Find the classrooms in which grade 4 is studying.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , grade (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Which classrooms are used by grade 5?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , grade (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Show me the classrooms grade 5 is using.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , grade (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Find the last names of the teachers that teach fifth grade.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : lastname (text) , classroom (number) , grade (number) | teachers : lastname (text) , classroom (number)", "shrink-score": 0.2857142857142857}
{"db_id": "student_1", "question": "what are the last names of the teachers who teach grade 5?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : lastname (text) , classroom (number) , grade (number) | teachers : lastname (text) , classroom (number)", "shrink-score": 0.2857142857142857}
{"db_id": "student_1", "question": "Find the first names of the teachers that teach first grade.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , classroom (number) , grade (number) | teachers : firstname (text) , classroom (number)", "shrink-score": 0.2857142857142857}
{"db_id": "student_1", "question": "What are the first names of the teachers who teach grade 1?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , classroom (number) , grade (number) | teachers : firstname (text) , classroom (number)", "shrink-score": 0.2857142857142857}
{"db_id": "student_1", "question": "Find the first names of all the teachers that teach in classroom 110.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "teachers : firstname (text) , classroom (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Which teachers teach in classroom 110? Give me their first names.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "teachers : firstname (text) , classroom (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Find the last names of teachers teaching in classroom 109.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "teachers : lastname (text) , classroom (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Which teachers teach in classroom 109? Give me their last names.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "teachers : lastname (text) , classroom (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Report the first name and last name of all the teachers.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "teachers : firstname (text) , lastname (text)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "What are the first name and last name of all the teachers?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "teachers : firstname (text) , lastname (text)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Report the first name and last name of all the students.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , lastname (text)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Show each student's first name and last name.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , lastname (text)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Find all students taught by OTHA MOYER. Output the first and last names of the students.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , lastname (text) , classroom (number) | teachers : firstname (text) , lastname (text) , classroom (number)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "Which students study under the teacher named OTHA MOYER? Give me the first and last names of the students.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , lastname (text) , classroom (number) | teachers : firstname (text) , lastname (text) , classroom (number)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "Find all students taught by MARROTTE KIRK. Output first and last names of students.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , lastname (text) , classroom (number) | teachers : firstname (text) , lastname (text) , classroom (number)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "Which are the first and last names of the students taught by MARROTTE KIRK?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , lastname (text) , classroom (number) | teachers : firstname (text) , lastname (text) , classroom (number)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "Find the first and last name of all the teachers that teach EVELINA BROMLEY.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , lastname (text) , classroom (number) | teachers : firstname (text) , lastname (text) , classroom (number)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "Which teachers teach the student named EVELINA BROMLEY? Give me the first and last name  of the teachers.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , lastname (text) , classroom (number) | teachers : firstname (text) , lastname (text) , classroom (number)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "Find the last names of all the teachers that teach GELL TAMI.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : lastname (text) , classroom (number) , firstname (text) | teachers : lastname (text) , classroom (number) , firstname (text)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "What are the last names of the teachers who teach the student called GELL TAMI?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : lastname (text) , classroom (number) , firstname (text) | teachers : lastname (text) , classroom (number) , firstname (text)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "How many students does LORIA ONDERSMA teaches?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , firstname (text) , lastname (text) | teachers : classroom (number) , firstname (text) , lastname (text)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "Count the number of students the teacher LORIA ONDERSMA teaches.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , firstname (text) , lastname (text) | teachers : classroom (number) , firstname (text) , lastname (text)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "How many students does KAWA GORDON teaches?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , firstname (text) , lastname (text) | teachers : classroom (number) , firstname (text) , lastname (text)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "Find the number of students taught by the teacher KAWA GORDON.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , firstname (text) , lastname (text) | teachers : classroom (number) , firstname (text) , lastname (text)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "Find the number of students taught by TARRING LEIA.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , firstname (text) , lastname (text) | teachers : classroom (number) , firstname (text) , lastname (text)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "How many students are taught by teacher TARRING LEIA?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , firstname (text) , lastname (text) | teachers : classroom (number) , firstname (text) , lastname (text)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "How many teachers does the student named CHRISSY NABOZNY have?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , firstname (text) , lastname (text) | teachers : classroom (number) , firstname (text) , lastname (text)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "Find the number of teachers who teach the student called CHRISSY NABOZNY.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , firstname (text) , lastname (text) | teachers : classroom (number) , firstname (text) , lastname (text)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "How many teachers does the student named MADLOCK RAY have?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , firstname (text) , lastname (text) | teachers : classroom (number) , firstname (text) , lastname (text)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "Find the number of teachers who teach the student called MADLOCK RAY.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , firstname (text) , lastname (text) | teachers : classroom (number) , firstname (text) , lastname (text)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "Find all first-grade students who are NOT taught by OTHA MOYER. Report their first and last names.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , lastname (text) , classroom (number) , grade (number) | teachers : firstname (text) , lastname (text) , classroom (number)", "shrink-score": 0.0}
{"db_id": "student_1", "question": "What are the first and last names of the first-grade students who are NOT taught by teacher OTHA MOYER?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , lastname (text) , classroom (number) , grade (number) | teachers : firstname (text) , lastname (text) , classroom (number)", "shrink-score": 0.0}
{"db_id": "student_1", "question": "Find the last names of the students in third grade that are not taught by COVIN JEROME.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : lastname (text) , classroom (number) , grade (number) , firstname (text) | teachers : lastname (text) , classroom (number) , firstname (text)", "shrink-score": 0.0}
{"db_id": "student_1", "question": "Which students in third grade are not taught by teacher COVIN JEROME? Give me the last names of the students.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : lastname (text) , classroom (number) , grade (number) , firstname (text) | teachers : lastname (text) , classroom (number) , firstname (text)", "shrink-score": 0.0}
{"db_id": "student_1", "question": "For each grade, report the grade, the number of classrooms in which it is taught and the total number of students in the grade.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : grade (number) , classroom (number) , lastname (text)", "shrink-score": 0.5714285714285714}
{"db_id": "student_1", "question": "For each grade, return the grade number, the number of classrooms used for the grade, and the total number of students enrolled in the grade.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : grade (number) , classroom (number) , lastname (text)", "shrink-score": 0.5714285714285714}
{"db_id": "student_1", "question": "For each classroom, report the classroom number and the number of grades using it.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , grade (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "For each classroom, show the classroom number and count the number of distinct grades that use the room.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , grade (number)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Which classroom has the most students?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , lastname (text)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Find the classroom that the most students use.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , lastname (text)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "Report the number of students in each classroom.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , lastname (text)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "For each classroom, show the classroom number and find how many students are using it.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , lastname (text)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "For each grade 0 classroom, report the total number of students.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , grade (number) , lastname (text)", "shrink-score": 0.5714285714285714}
{"db_id": "student_1", "question": "For each grade 0 classroom, return the classroom number and the count of students.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , grade (number) , lastname (text)", "shrink-score": 0.5714285714285714}
{"db_id": "student_1", "question": "Report the total number of students for each fourth-grade classroom.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , grade (number) , lastname (text)", "shrink-score": 0.5714285714285714}
{"db_id": "student_1", "question": "For each fourth-grade classroom, show the classroom number and the total number of students using it.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , grade (number) , lastname (text)", "shrink-score": 0.5714285714285714}
{"db_id": "student_1", "question": "Find the name of the teacher who teaches the largest number of students.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , lastname (text) , classroom (number) | teachers : firstname (text) , lastname (text) , classroom (number)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "Which teacher teaches the most students? Give me the first name and last name of the teacher.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : firstname (text) , lastname (text) , classroom (number) | teachers : firstname (text) , lastname (text) , classroom (number)", "shrink-score": 0.14285714285714285}
{"db_id": "student_1", "question": "Find the number of students in one classroom.", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , lastname (text)", "shrink-score": 0.7142857142857143}
{"db_id": "student_1", "question": "How many students does one classroom have?", "schema": "list : lastname (text) , firstname (text) , grade (number) , classroom (number) | teachers : lastname (text) , firstname (text) , classroom (number)", "summarized-schema": "list : classroom (number) , lastname (text)", "shrink-score": 0.7142857142857143}
{"db_id": "company_employee", "question": "How many companies are headquartered in the US?", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "company : headquarters (text) , company_id (number)", "shrink-score": 0.875}
{"db_id": "company_employee", "question": "List the names of companies by ascending number of sales.", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "company : name (text) , sales_in_billion (number)", "shrink-score": 0.875}
{"db_id": "company_employee", "question": "What are the headquarters and industries of all companies?", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "company : headquarters (text) , industry (text)", "shrink-score": 0.875}
{"db_id": "company_employee", "question": "Show the names of companies in the banking or retailing industry?", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "company : name (text) , industry (text)", "shrink-score": 0.875}
{"db_id": "company_employee", "question": "What is the maximum and minimum market value of companies?", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "company : market_value_in_billion (number)", "shrink-score": 0.9375}
{"db_id": "company_employee", "question": "What is the headquarter of the company with the largest sales?", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "company : headquarters (text) , sales_in_billion (number)", "shrink-score": 0.875}
{"db_id": "company_employee", "question": "Show the different headquarters and number of companies at each headquarter.", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "company : headquarters (text) , company_id (number)", "shrink-score": 0.875}
{"db_id": "company_employee", "question": "Show the most common headquarter for companies.", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "company : headquarters (text) , company_id (number)", "shrink-score": 0.875}
{"db_id": "company_employee", "question": "Show the headquarters that have at least two companies.", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "company : headquarters (text) , company_id (number)", "shrink-score": 0.875}
{"db_id": "company_employee", "question": "Show the headquarters that have both companies in banking industry and companies in oil and gas industry.", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "company : headquarters (text) , industry (text)", "shrink-score": 0.875}
{"db_id": "company_employee", "question": "Show the names of companies and of employees.", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "people : name (text) , people_id (number) | company : name (text) , company_id (number) | employment : people_id (number) , company_id (number)", "shrink-score": 0.625}
{"db_id": "company_employee", "question": "Show names of companies and that of employees in descending order of number of years working for that employee.", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "people : name (text) , people_id (number) | company : name (text) , company_id (number) | employment : people_id (number) , company_id (number) , year_working (number)", "shrink-score": 0.5625}
{"db_id": "company_employee", "question": "Show the names of employees that work for companies with sales bigger than 200.", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "people : name (text) , people_id (number) | company : name (text) , company_id (number) , sales_in_billion (number) | employment : people_id (number) , company_id (number)", "shrink-score": 0.5625}
{"db_id": "company_employee", "question": "Show the names of companies and the number of employees they have", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "people : name (text) , people_id (number) | company : name (text) , company_id (number) | employment : people_id (number) , company_id (number)", "shrink-score": 0.625}
{"db_id": "company_employee", "question": "List the names of people that are not employed by any company", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "people : name (text) , people_id (number) | employment : people_id (number)", "shrink-score": 0.8125}
{"db_id": "company_employee", "question": "list the names of the companies with more than 200 sales in the descending order of sales and profits.", "schema": "people : people_id (number) , age (number) , name (text) , nationality (text) , graduation_college (text) | company : company_id (number) , name (text) , headquarters (text) , industry (text) , sales_in_billion (number) , profits_in_billion (number) , assets_in_billion (number) , market_value_in_billion (number) | employment : company_id (number) , people_id (number) , year_working (number)", "summarized-schema": "company : name (text) , sales_in_billion (number) , profits_in_billion (number)", "shrink-score": 0.8125}
{"db_id": "film_rank", "question": "How many film are there?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : film_id (number)", "shrink-score": 0.9333333333333333}
{"db_id": "film_rank", "question": "Count the number of films.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : film_id (number)", "shrink-score": 0.9333333333333333}
{"db_id": "film_rank", "question": "List the distinct director of all films.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : director (text)", "shrink-score": 0.9333333333333333}
{"db_id": "film_rank", "question": "What are the different film Directors?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : director (text)", "shrink-score": 0.9333333333333333}
{"db_id": "film_rank", "question": "What is the average ticket sales gross in dollars of films?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : gross_in_dollar (number)", "shrink-score": 0.9333333333333333}
{"db_id": "film_rank", "question": "Return the average gross sales in dollars across all films.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : gross_in_dollar (number)", "shrink-score": 0.9333333333333333}
{"db_id": "film_rank", "question": "What are the low and high estimates of film markets?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film_market_estimation : low_estimate (number) , high_estimate (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "Return the low and high estimates for all film markets.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film_market_estimation : low_estimate (number) , high_estimate (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "What are the types of film market estimations in year 1995?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film_market_estimation : type (text) , year (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "Return the types of film market estimations in 1995.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film_market_estimation : type (text) , year (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "What are the maximum and minimum number of cities in all markets.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "market : number_cities (number)", "shrink-score": 0.9333333333333333}
{"db_id": "film_rank", "question": "Return the maximum and minimum number of cities across all markets.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "market : number_cities (number)", "shrink-score": 0.9333333333333333}
{"db_id": "film_rank", "question": "How many markets have number of cities smaller than 300?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "market : number_cities (number) , market_id (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "Count the number of markets that have a number of cities lower than 300.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "market : number_cities (number) , market_id (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "List all countries of markets in ascending alphabetical order.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "market : country (text)", "shrink-score": 0.9333333333333333}
{"db_id": "film_rank", "question": "What are the countries for each market, ordered alphabetically?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "market : country (text)", "shrink-score": 0.9333333333333333}
{"db_id": "film_rank", "question": "List all countries of markets in descending order of number of cities.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "market : country (text) , number_cities (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "What are the countries for each market ordered by decreasing number of cities?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "market : country (text) , number_cities (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "Please show the titles of films and the types of market estimations.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : title (text) , film_id (number) | film_market_estimation : type (text) , film_id (number)", "shrink-score": 0.7333333333333333}
{"db_id": "film_rank", "question": "What are the titles of films and corresponding types of market estimations?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : title (text) , film_id (number) | film_market_estimation : type (text) , film_id (number)", "shrink-score": 0.7333333333333333}
{"db_id": "film_rank", "question": "Show the distinct director of films with market estimation in the year of 1995.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : director (text) , film_id (number) | film_market_estimation : film_id (number) , year (number)", "shrink-score": 0.7333333333333333}
{"db_id": "film_rank", "question": "Who are the different directors of films which had market estimation in 1995?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : director (text) , film_id (number) | film_market_estimation : film_id (number) , year (number)", "shrink-score": 0.7333333333333333}
{"db_id": "film_rank", "question": "What is the average number of cities of markets with low film market estimate bigger than 10000?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "market : number_cities (number) , market_id (number) | film_market_estimation : market_id (number) , low_estimate (number)", "shrink-score": 0.7333333333333333}
{"db_id": "film_rank", "question": "Give the average number of cities within markets that had a low market estimation larger than 10000?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "market : number_cities (number) , market_id (number) | film_market_estimation : market_id (number) , low_estimate (number)", "shrink-score": 0.7333333333333333}
{"db_id": "film_rank", "question": "Please list the countries and years of film market estimations.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "market : country (text) , market_id (number) | film_market_estimation : year (number) , market_id (number)", "shrink-score": 0.7333333333333333}
{"db_id": "film_rank", "question": "What are the countries of markets and their corresponding years of market estimation?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "market : country (text) , market_id (number) | film_market_estimation : year (number) , market_id (number)", "shrink-score": 0.7333333333333333}
{"db_id": "film_rank", "question": "Please list the years of film market estimations when the market is in country \"Japan\" in descending order.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film_market_estimation : year (number) , market_id (number) | market : market_id (number) , country (text)", "shrink-score": 0.7333333333333333}
{"db_id": "film_rank", "question": "What are the years of film market estimation for the market of Japan, ordered by year descending?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film_market_estimation : year (number) , market_id (number) | market : market_id (number) , country (text)", "shrink-score": 0.7333333333333333}
{"db_id": "film_rank", "question": "List the studios of each film and the number of films produced by that studio.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : studio (text) , film_id (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "How films are produced by each studio?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : studio (text) , film_id (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "List the name of film studio that have the most number of films.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : studio (text) , film_id (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "What is the name of teh studio that created the most films?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : studio (text) , film_id (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "List the names of studios that have at least two films.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : studio (text) , film_id (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "What are the names of studios that have made two or more films?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : studio (text) , film_id (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "List the title of films that do not have any market estimation.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : title (text) , film_id (number) | film_market_estimation : film_id (number)", "shrink-score": 0.8}
{"db_id": "film_rank", "question": "What are the titles of films that do not have a film market estimation?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : title (text) , film_id (number) | film_market_estimation : film_id (number)", "shrink-score": 0.8}
{"db_id": "film_rank", "question": "Show the studios that have produced films with director \"Nicholas Meyer\" and \"Walter Hill\".", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : studio (text) , director (text)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "What are the names of studios that have produced films with both Nicholas Meyer and Walter Hill?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : studio (text) , director (text)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "Find the titles and studios of the films that are produced by some film studios that contained the word \"Universal\".", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : title (text) , studio (text)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "What are the titles and studios of films that have been produced by a studio whose name contains \"Universal\"?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : title (text) , studio (text)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "Show the studios that have not produced films with director \"Walter Hill\".", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : studio (text) , director (text)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "Which studios have never worked with the director Walter Hill?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : studio (text) , director (text)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "List the studios which average gross is above 4500000.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : studio (text) , gross_in_dollar (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "Which studios have an average gross of over 4500000?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : studio (text) , gross_in_dollar (number)", "shrink-score": 0.8666666666666667}
{"db_id": "film_rank", "question": "What is the title of the film that has the highest high market estimation.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : title (text) , film_id (number) | film_market_estimation : film_id (number) , high_estimate (number)", "shrink-score": 0.7333333333333333}
{"db_id": "film_rank", "question": "Return the title of the film with the highest high estimate?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : title (text) , film_id (number) | film_market_estimation : film_id (number) , high_estimate (number)", "shrink-score": 0.7333333333333333}
{"db_id": "film_rank", "question": "What are the titles and directors of the films were never presented in China?", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : title (text) , director (text) , film_id (number) | film_market_estimation : film_id (number) , market_id (number) | market : market_id (number) , country (text)", "shrink-score": 0.5333333333333333}
{"db_id": "film_rank", "question": "Return the titles and directors of films that were never in the market of China.", "schema": "film : film_id (number) , title (text) , studio (text) , director (text) , gross_in_dollar (number) | market : market_id (number) , country (text) , number_cities (number) | film_market_estimation : estimation_id (number) , low_estimate (number) , high_estimate (number) , film_id (number) , type (text) , market_id (number) , year (number)", "summarized-schema": "film : title (text) , director (text) , film_id (number) | film_market_estimation : film_id (number) , market_id (number) | market : market_id (number) , country (text)", "shrink-score": 0.5333333333333333}
{"db_id": "cre_Doc_Tracking_DB", "question": "How many calendar items do we have?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_calendar : calendar_date (time)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "Count the number of all the calendar items.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_calendar : calendar_date (time)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show all calendar dates and day Numbers.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_calendar : calendar_date (time) , day_number (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are all the calendar dates and day Numbers?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_calendar : calendar_date (time) , day_number (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the number of document types.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_document_types : document_type_code (text)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "How many document types are there?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_document_types : document_type_code (text)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "List all document type codes and document type names.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_document_types : document_type_code (text) , document_type_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are all the document type codes and document type names?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_document_types : document_type_code (text) , document_type_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is the name and description for document type code RV?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_document_types : document_type_name (text) , document_type_description (text) , document_type_code (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Doc_Tracking_DB", "question": "Give me the name and description of the document type code RV.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_document_types : document_type_name (text) , document_type_description (text) , document_type_code (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is the document type code for document type \"Paper\"?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_document_types : document_type_code (text) , document_type_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Find the code of the document type \"Paper\".", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_document_types : document_type_code (text) , document_type_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the number of documents with document type code CV or BK.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "all_documents : document_type_code (text) , document_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "How many documents have document type code CV or BK?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "all_documents : document_type_code (text) , document_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is the date when the document \"Marry CV\" was stored?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "all_documents : date_stored (time) , document_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "When was the document named \"Marry CV\" stored? Give me the date.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "all_documents : date_stored (time) , document_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is the day Number and date of all the documents?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_calendar : day_number (number) , calendar_date (time) | all_documents : date_stored (time)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Doc_Tracking_DB", "question": "Return the day Number and stored date for all the documents.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_calendar : day_number (number) , calendar_date (time) | all_documents : date_stored (time)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is the document type name for the document with name \"How to read a book\"?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_document_types : document_type_name (text) , document_type_code (text) | all_documents : document_type_code (text) , document_name (text)", "shrink-score": 0.8787878787878788}
{"db_id": "cre_Doc_Tracking_DB", "question": "Find the document type name of the document named \"How to read a book\".", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_document_types : document_type_name (text) , document_type_code (text) | all_documents : document_type_code (text) , document_name (text)", "shrink-score": 0.8787878787878788}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the number of locations.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_locations : location_code (text)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "How many locations are listed in the database?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_locations : location_code (text)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "List all location codes and location names.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_locations : location_code (text) , location_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are all the location codes and location names?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_locations : location_code (text) , location_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are the name and description for location code x?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_locations : location_name (text) , location_description (text) , location_code (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Doc_Tracking_DB", "question": "Give me the name and description of the location with code x.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_locations : location_name (text) , location_description (text) , location_code (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is the location code for the country \"Canada\"?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_locations : location_code (text) , location_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the location code of the country \"Canada\".", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_locations : location_code (text) , location_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "How many roles are there?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "roles : role_code (text)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "Count the total number of roles listed.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "roles : role_code (text)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "List all role codes, role names, and role descriptions.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "roles : role_code (text) , role_name (text) , role_description (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are all the role codes, role names, and role descriptions?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "roles : role_code (text) , role_name (text) , role_description (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are the name and description for role code \"MG\"?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "roles : role_name (text) , role_description (text) , role_code (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Doc_Tracking_DB", "question": "Find the name and description of the role with code \"MG\".", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "roles : role_name (text) , role_description (text) , role_code (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the description for role name \"Proof Reader\".", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "roles : role_description (text) , role_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is the description of the role named \"Proof Reader\"?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "roles : role_description (text) , role_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "How many employees do we have?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "Find the number of employees we have.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the name, role code, and date of birth for the employee with name 'Armani'.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_name (text) , role_code (text) , date_of_birth (time)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are the name, role code, and date of birth of the employee named 'Armani'?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_name (text) , role_code (text) , date_of_birth (time)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is the id for the employee called Ebba?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_id (number) , employee_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the id of the employee named Ebba.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_id (number) , employee_name (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the names of all the employees with role \"HR\".", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_name (text) , role_code (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Which employees have the role with code \"HR\"? Find their names.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_name (text) , role_code (text)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show all role codes and the number of employees in each role.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : role_code (text) , employee_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is the code of each role and the number of employees in each role?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : role_code (text) , employee_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is the role code with the largest number of employees?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : role_code (text) , employee_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Find the code of the role that have the most employees.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : role_code (text) , employee_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show all role codes with at least 3 employees.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : role_code (text) , employee_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are the roles with three or more employees? Give me the role codes.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : role_code (text) , employee_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the role code with the least employees.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : role_code (text) , employee_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is the role with the smallest number of employees? Find the role codes.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : role_code (text) , employee_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is the role name and role description for employee called Ebba?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "roles : role_name (text) , role_description (text) , role_code (text) | employees : role_code (text) , employee_name (text)", "shrink-score": 0.8484848484848485}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the name and description of the role played by the employee named Ebba.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "roles : role_name (text) , role_description (text) , role_code (text) | employees : role_code (text) , employee_name (text)", "shrink-score": 0.8484848484848485}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the names of employees with role name Editor.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_name (text) , role_code (text) | roles : role_code (text) , role_name (text)", "shrink-score": 0.8787878787878788}
{"db_id": "cre_Doc_Tracking_DB", "question": "Find the names of all the employees whose the role name is \"Editor\".", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_name (text) , role_code (text) | roles : role_code (text) , role_name (text)", "shrink-score": 0.8787878787878788}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the employee ids for all employees with role name \"Human Resource\" or \"Manager\".", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_id (number) , role_code (text) | roles : role_code (text) , role_name (text)", "shrink-score": 0.8787878787878788}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are the employee ids of the employees whose role name is \"Human Resource\" or \"Manager\"?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_id (number) , role_code (text) | roles : role_code (text) , role_name (text)", "shrink-score": 0.8787878787878788}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are the different location codes for documents?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "document_locations : location_code (text)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "Give me all the distinct location codes for documents.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "document_locations : location_code (text)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the location name for document \"Robin CV\".", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_locations : location_name (text) , location_code (text) | all_documents : document_id (number) , document_name (text) | document_locations : document_id (number) , location_code (text)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is the location name of the document \"Robin CV\"?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_locations : location_name (text) , location_code (text) | all_documents : document_id (number) , document_name (text) | document_locations : document_id (number) , location_code (text)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the location code, the starting date and ending data in that location for all the documents.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "document_locations : location_code (text) , date_in_location_from (time) , date_in_locaton_to (time)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are each document's location code, and starting date and ending data in that location?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "document_locations : location_code (text) , date_in_location_from (time) , date_in_locaton_to (time)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is \"the date in location from\" and \"the date in location to\" for the document with name \"Robin CV\"?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "document_locations : date_in_location_from (time) , date_in_locaton_to (time) , document_id (number) | all_documents : document_id (number) , document_name (text)", "shrink-score": 0.8484848484848485}
{"db_id": "cre_Doc_Tracking_DB", "question": "Find the starting date and ending data in location for the document named \"Robin CV\".", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "document_locations : date_in_location_from (time) , date_in_locaton_to (time) , document_id (number) | all_documents : document_id (number) , document_name (text)", "shrink-score": 0.8484848484848485}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the location codes and the number of documents in each location.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "document_locations : location_code (text) , document_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is the code of each location and the number of documents in that location?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "document_locations : location_code (text) , document_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What is the location code with the most documents?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "document_locations : location_code (text) , document_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Find the code of the location with the largest number of documents.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "document_locations : location_code (text) , document_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the location codes with at least 3 documents.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "document_locations : location_code (text) , document_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are the codes of the locations with at least three documents?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "document_locations : location_code (text) , document_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the location name and code with the least documents.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_locations : location_name (text) , location_code (text) | document_locations : location_code (text) , document_id (number)", "shrink-score": 0.8787878787878788}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are the name and code of the location with the smallest number of documents?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "ref_locations : location_name (text) , location_code (text) | document_locations : location_code (text) , document_id (number)", "shrink-score": 0.8787878787878788}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are the names of the employees who authorised the destruction and the employees who destroyed the corresponding documents?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_name (text) , employee_id (number) | documents_to_be_destroyed : destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number)", "shrink-score": 0.8787878787878788}
{"db_id": "cre_Doc_Tracking_DB", "question": "List the names of the employees who authorized the destruction of documents and the employees who destroyed the corresponding documents.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_name (text) , employee_id (number) | documents_to_be_destroyed : destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number)", "shrink-score": 0.8787878787878788}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the id of each employee and the number of document destruction authorised by that employee.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "documents_to_be_destroyed : destruction_authorised_by_employee_id (number) , document_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are the id of each employee and the number of document destruction authorised by that employee?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "documents_to_be_destroyed : destruction_authorised_by_employee_id (number) , document_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the employee ids and the number of documents destroyed by each employee.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "documents_to_be_destroyed : destroyed_by_employee_id (number) , document_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are the id of each employee and the number of document destroyed by that employee?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "documents_to_be_destroyed : destroyed_by_employee_id (number) , document_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the ids of the employees who don't authorize destruction for any document.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_id (number) | documents_to_be_destroyed : destruction_authorised_by_employee_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Which employees do not authorize destruction for any document? Give me their employee ids.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_id (number) | documents_to_be_destroyed : destruction_authorised_by_employee_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the ids of all employees who have authorized destruction.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "documents_to_be_destroyed : destruction_authorised_by_employee_id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are the ids of all the employees who authorize document destruction?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "documents_to_be_destroyed : destruction_authorised_by_employee_id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the ids of all employees who have destroyed a document.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "documents_to_be_destroyed : destroyed_by_employee_id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "What are the ids of all the employees who have destroyed documents?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "documents_to_be_destroyed : destroyed_by_employee_id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the ids of all employees who don't destroy any document.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_id (number) | documents_to_be_destroyed : destroyed_by_employee_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Which employees do not destroy any document? Find their employee ids.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "employees : employee_id (number) | documents_to_be_destroyed : destroyed_by_employee_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Show the ids of all employees who have either destroyed a document or made an authorization to do this.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "documents_to_be_destroyed : destroyed_by_employee_id (number) , destruction_authorised_by_employee_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Doc_Tracking_DB", "question": "Which employees have either destroyed a document or made an authorization to do so? Return their employee ids.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_calendar : calendar_date (time) , day_number (number) | ref_locations : location_code (text) , location_name (text) , location_description (text) | roles : role_code (text) , role_name (text) , role_description (text) | all_documents : document_id (number) , date_stored (time) , document_type_code (text) , document_name (text) , document_description (text) , other_details (text) | employees : employee_id (number) , role_code (text) , employee_name (text) , gender_mfu (text) , date_of_birth (time) , other_details (text) | document_locations : document_id (number) , location_code (text) , date_in_location_from (time) , date_in_locaton_to (time) | documents_to_be_destroyed : document_id (number) , destruction_authorised_by_employee_id (number) , destroyed_by_employee_id (number) , planned_destruction_date (time) , actual_destruction_date (time) , other_details (text)", "summarized-schema": "documents_to_be_destroyed : destroyed_by_employee_id (number) , destruction_authorised_by_employee_id (number)", "shrink-score": 0.9393939393939394}
{"db_id": "club_1", "question": "How many clubs are there?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubid (number)", "shrink-score": 0.9333333333333333}
{"db_id": "club_1", "question": "Count the total number of clubs.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubid (number)", "shrink-score": 0.9333333333333333}
{"db_id": "club_1", "question": "What are the names of all clubs?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text)", "shrink-score": 0.9333333333333333}
{"db_id": "club_1", "question": "Give me the name of each club.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text)", "shrink-score": 0.9333333333333333}
{"db_id": "club_1", "question": "How many students are there?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : stuid (number)", "shrink-score": 0.9333333333333333}
{"db_id": "club_1", "question": "Count the total number of students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : stuid (number)", "shrink-score": 0.9333333333333333}
{"db_id": "club_1", "question": "What are the first names of all the students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : fname (text)", "shrink-score": 0.9333333333333333}
{"db_id": "club_1", "question": "Find each student's first name.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : fname (text)", "shrink-score": 0.9333333333333333}
{"db_id": "club_1", "question": "Find the last names of the members of the club \"Bootup Baltimore\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : lname (text) , stuid (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Who are the members of the club named \"Bootup Baltimore\"? Give me their last names.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : lname (text) , stuid (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Who are the members of the club named \"Hopkins Student Enterprises\"? Show the last name.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : lname (text) , stuid (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Return the last name for the members of the club named \"Hopkins Student Enterprises\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : lname (text) , stuid (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "How many members does the club \"Tennis Club\" has?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number) | student : stuid (number)", "shrink-score": 0.6666666666666666}
{"db_id": "club_1", "question": "Count the members of the club \"Tennis Club\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number) | student : stuid (number)", "shrink-score": 0.6666666666666666}
{"db_id": "club_1", "question": "Find the number of members of club \"Pen and Paper Gaming\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number) | student : stuid (number)", "shrink-score": 0.6666666666666666}
{"db_id": "club_1", "question": "How many people have membership in the club \"Pen and Paper Gaming\"?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number) | student : stuid (number)", "shrink-score": 0.6666666666666666}
{"db_id": "club_1", "question": "How many clubs does \"Linda Smith\" belong to?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , fname (text) , lname (text)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "How many clubs does \"Linda Smith\" have membership for?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , fname (text) , lname (text)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Find the number of clubs where \"Tracy Kim\" is a member.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , fname (text) , lname (text)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "For how many clubs is \"Tracy Kim\" a member?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , fname (text) , lname (text)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Find all the female members of club \"Bootup Baltimore\". Show the first name and last name.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) , sex (text) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.4666666666666667}
{"db_id": "club_1", "question": "Give me the first name and last name for all the female members of the club \"Bootup Baltimore\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) , sex (text) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.4666666666666667}
{"db_id": "club_1", "question": "Find all the male members of club \"Hopkins Student Enterprises\". Show the first name and last name.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) , sex (text) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.4666666666666667}
{"db_id": "club_1", "question": "What are the first name and last name of each male member in club \"Hopkins Student Enterprises\"?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) , sex (text) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.4666666666666667}
{"db_id": "club_1", "question": "Find all members of \"Bootup Baltimore\" whose major is \"600\". Show the first name and last name.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) , major (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.4666666666666667}
{"db_id": "club_1", "question": "Which members of \"Bootup Baltimore\" major in \"600\"? Give me their first names and last names.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) , major (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.4666666666666667}
{"db_id": "club_1", "question": "Which club has the most members majoring in \"600\"?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , major (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Find the club which has the largest number of members majoring in \"600\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , major (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Find the name of the club that has the most female students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , sex (text)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Which club has the most female students as their members? Give me the name of the club.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , sex (text)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "What is the description of the club named \"Tennis Club\"?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubdesc (text) , clubname (text)", "shrink-score": 0.8666666666666667}
{"db_id": "club_1", "question": "Find the description of the club called \"Tennis Club\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubdesc (text) , clubname (text)", "shrink-score": 0.8666666666666667}
{"db_id": "club_1", "question": "Find the description of the club \"Pen and Paper Gaming\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubdesc (text) , clubname (text)", "shrink-score": 0.8666666666666667}
{"db_id": "club_1", "question": "What is the description of the club \"Pen and Paper Gaming\"?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubdesc (text) , clubname (text)", "shrink-score": 0.8666666666666667}
{"db_id": "club_1", "question": "What is the location of the club named \"Tennis Club\"?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clublocation (text) , clubname (text)", "shrink-score": 0.8666666666666667}
{"db_id": "club_1", "question": "Where us the club named \"Tennis Club\" located?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clublocation (text) , clubname (text)", "shrink-score": 0.8666666666666667}
{"db_id": "club_1", "question": "Find the location of the club \"Pen and Paper Gaming\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clublocation (text) , clubname (text)", "shrink-score": 0.8666666666666667}
{"db_id": "club_1", "question": "Where is the club \"Pen and Paper Gaming\" located?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clublocation (text) , clubname (text)", "shrink-score": 0.8666666666666667}
{"db_id": "club_1", "question": "Where is the club \"Hopkins Student Enterprises\" located?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clublocation (text) , clubname (text)", "shrink-score": 0.8666666666666667}
{"db_id": "club_1", "question": "Tell me the location of the club \"Hopkins Student Enterprises\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clublocation (text) , clubname (text)", "shrink-score": 0.8666666666666667}
{"db_id": "club_1", "question": "Find the name of all the clubs at \"AKW\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clublocation (text)", "shrink-score": 0.8666666666666667}
{"db_id": "club_1", "question": "Which clubs are located at \"AKW\"? Return the club names.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clublocation (text)", "shrink-score": 0.8666666666666667}
{"db_id": "club_1", "question": "How many clubs are located at \"HHH\"?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clublocation (text) , clubid (number)", "shrink-score": 0.8666666666666667}
{"db_id": "club_1", "question": "Count the number of clubs located at \"HHH\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clublocation (text) , clubid (number)", "shrink-score": 0.8666666666666667}
{"db_id": "club_1", "question": "What are the first and last name of the president of the club \"Bootup Baltimore\"?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number) , position (text)", "shrink-score": 0.4666666666666667}
{"db_id": "club_1", "question": "Who is the president of the club \"Bootup Baltimore\"? Give me the first and last name.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number) , position (text)", "shrink-score": 0.4666666666666667}
{"db_id": "club_1", "question": "Who is the \"CTO\" of club \"Hopkins Student Enterprises\"? Show the first name and last name.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number) , position (text)", "shrink-score": 0.4666666666666667}
{"db_id": "club_1", "question": "Find the first name and last name for the \"CTO\" of the club \"Hopkins Student Enterprises\"?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number) , position (text)", "shrink-score": 0.4666666666666667}
{"db_id": "club_1", "question": "How many different roles are there in the club \"Bootup Baltimore\"?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "member_of_club : position (text) , clubid (number) | club : clubid (number) , clubname (text)", "shrink-score": 0.7333333333333333}
{"db_id": "club_1", "question": "Count the number of different positions in the club \"Bootup Baltimore\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "member_of_club : position (text) , clubid (number) | club : clubid (number) , clubname (text)", "shrink-score": 0.7333333333333333}
{"db_id": "club_1", "question": "How many members of \"Bootup Baltimore\" are older than 18?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , age (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Count the number of members in club \"Bootup Baltimore\" whose age is above 18.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , age (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "How many members of club \"Bootup Baltimore\" are younger than 18?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , age (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Count the number of members in club \"Bootup Baltimore\" whose age is below 18.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , age (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Find the names of all the clubs that have at least a member from the city with city code \"BAL\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , city_code (text)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Which clubs have one or more members from the city with code \"BAL\"? Give me the names of the clubs.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , city_code (text)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Find the names of the clubs that have at least a member from the city with city code \"HOU\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , city_code (text)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Which clubs have one or more members from the city with code \"HOU\"? Give me the names of the clubs.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , city_code (text)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "How many clubs does the student named \"Eric Tai\" belong to?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , fname (text) , lname (text)", "shrink-score": 0.5333333333333333}
{"db_id": "club_1", "question": "Count the number of clubs for which the student named \"Eric Tai\" is a member.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , fname (text) , lname (text)", "shrink-score": 0.5333333333333333}
{"db_id": "club_1", "question": "List the clubs having \"Davis Steven\" as a member.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , fname (text) , lname (text)", "shrink-score": 0.5333333333333333}
{"db_id": "club_1", "question": "What are the names of the clubs that have \"Davis Steven\" as a member?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , fname (text) , lname (text)", "shrink-score": 0.5333333333333333}
{"db_id": "club_1", "question": "List the clubs that have at least a member with advisor \"1121\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , advisor (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Which clubs have one or more members whose advisor is \"1121\"?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "club : clubname (text) , clubid (number) | member_of_club : clubid (number) , stuid (number) | student : stuid (number) , advisor (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "What is the average age of the members of the club \"Bootup Baltimore\"?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : age (number) , stuid (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Find the average age of the members in the club \"Bootup Baltimore\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : age (number) , stuid (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Find the average age of members of the club \"Hopkins Student Enterprises\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : age (number) , stuid (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "On average, how old are the members in the club \"Hopkins Student Enterprises\"?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : age (number) , stuid (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Retrieve the average age of members of the club \"Tennis Club\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : age (number) , stuid (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.6}
{"db_id": "club_1", "question": "Compute the average age of the members in the club \"Tennis Club\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | club : clubid (number) , clubname (text) , clubdesc (text) , clublocation (text) | member_of_club : stuid (number) , clubid (number) , position (text)", "summarized-schema": "student : age (number) , stuid (number) | club : clubid (number) , clubname (text) | member_of_club : clubid (number) , stuid (number)", "shrink-score": 0.6}
{"db_id": "tracking_grants_for_research", "question": "What are the distinct grant amount for the grants where the documents were sent before '1986-08-26 20:49:27' and grant were ended after '1989-03-16 18:27:16'?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "grants : grant_amount (number) , grant_id (number) , grant_end_date (time) | documents : grant_id (number) , sent_date (time)", "shrink-score": 0.8809523809523809}
{"db_id": "tracking_grants_for_research", "question": "What are the different grant amounts for documents sent before '1986-08-26 20:49:27' and after the grant ended on '1989-03-16 18:27:16'?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "grants : grant_amount (number) , grant_id (number) , grant_end_date (time) | documents : grant_id (number) , sent_date (time)", "shrink-score": 0.8809523809523809}
{"db_id": "tracking_grants_for_research", "question": "List the project details of the project both producing patent and paper as outcomes.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : project_details (text) , project_id (number) | project_outcomes : project_id (number) , outcome_code (text)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "What are the details of the project that is producing both patents and papers as outcomes?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : project_details (text) , project_id (number) | project_outcomes : project_id (number) , outcome_code (text)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "What is the total grant amount of the organisations described as research?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "grants : grant_amount (number) , organisation_id (number) | organisations : organisation_id (number) , organisation_type (text) | organisation_types : organisation_type (text) , organisation_type_description (text)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_grants_for_research", "question": "What is the total amount of grant money for research?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "grants : grant_amount (number) , organisation_id (number) | organisations : organisation_id (number) , organisation_type (text) | organisation_types : organisation_type (text) , organisation_type_description (text)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_grants_for_research", "question": "List from which date and to which date these staff work: project staff of the project which hires the most staffs", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : date_from (time) , date_to (time) , project_id (number) , role_code (text) , staff_id (number)", "shrink-score": 0.8809523809523809}
{"db_id": "tracking_grants_for_research", "question": "From what date and to what date do the staff work on a project that has the most staff and has staff in a leader role?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : date_from (time) , date_to (time) , project_id (number) , role_code (text) , staff_id (number)", "shrink-score": 0.8809523809523809}
{"db_id": "tracking_grants_for_research", "question": "Find the organisation ids and details of the organisations which are involved in", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "grants : organisation_id (number) , grant_amount (number) | organisations : organisation_id (number) , organisation_details (text)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "What are the ids and details for all organizations that have grants of more than 6000 dollars?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "grants : organisation_id (number) , grant_amount (number) | organisations : organisation_id (number) , organisation_details (text)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "What is the organisation type and id of the organisation which has the most number of research staff?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "organisations : organisation_type (text) , organisation_id (number) | research_staff : employer_organisation_id (number) , staff_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "What is the type and id of the organization that has the most research staff?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "organisations : organisation_type (text) , organisation_id (number) | research_staff : employer_organisation_id (number) , staff_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "Which organisation type hires most research staff?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "organisations : organisation_type (text) , organisation_id (number) | research_staff : employer_organisation_id (number) , staff_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "What is the type of the organization with the most research staff?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "organisations : organisation_type (text) , organisation_id (number) | research_staff : employer_organisation_id (number) , staff_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "Find out the send dates of the documents with the grant amount of more than 5000 were granted by organisation type described", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "documents : sent_date (time) , grant_id (number) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) | organisations : organisation_id (number) , organisation_type (text) | organisation_types : organisation_type (text) , organisation_type_description (text)", "shrink-score": 0.7857142857142857}
{"db_id": "tracking_grants_for_research", "question": "What are the send dates for all documents that have a grant amount of more than 5000 and are involved in research?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "documents : sent_date (time) , grant_id (number) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) | organisations : organisation_id (number) , organisation_type (text) | organisation_types : organisation_type (text) , organisation_type_description (text)", "shrink-score": 0.7857142857142857}
{"db_id": "tracking_grants_for_research", "question": "What are the response received dates for the documents described as 'Regular' or granted with more than 100?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "documents : response_received_date (time) , document_type_code (text) , grant_id (number) | document_types : document_type_code (text) , document_description (text) | grants : grant_id (number) , grant_amount (number)", "shrink-score": 0.8333333333333334}
{"db_id": "tracking_grants_for_research", "question": "What is the response received date for the document described as Regular that was granted more than 100 dollars?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "documents : response_received_date (time) , document_type_code (text) , grant_id (number) | document_types : document_type_code (text) , document_description (text) | grants : grant_id (number) , grant_amount (number)", "shrink-score": 0.8333333333333334}
{"db_id": "tracking_grants_for_research", "question": "List the project details of the projects which did not hire any staff for a researcher role.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : project_details (text) , project_id (number) | project_staff : project_id (number) , role_code (text)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "What are the details for all projects that did not hire any staff in a research role?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : project_details (text) , project_id (number) | project_staff : project_id (number) , role_code (text)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "What are the task details, task id and project id for the projects which are detailed as 'omnis' or  have more than 2 outcomes?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "tasks : task_details (text) , task_id (number) , project_id (number) | project_outcomes : project_id (number) | projects : project_id (number) , project_details (text)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_grants_for_research", "question": "What are the task details, task ids, and project ids for the progrects that are detailed as 'omnis' or have at least 3 outcomes?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "tasks : task_details (text) , task_id (number) , project_id (number) | project_outcomes : project_id (number) | projects : project_id (number) , project_details (text)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_grants_for_research", "question": "When do all the researcher role staff start to work, and when do they stop working?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : date_from (time) , date_to (time) , role_code (text)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "When did researchers start and stop working?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : date_from (time) , date_to (time) , role_code (text)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "How many kinds of roles are there for the staff?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : role_code (text)", "shrink-score": 0.9761904761904762}
{"db_id": "tracking_grants_for_research", "question": "How many different roles are there on the project staff?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : role_code (text)", "shrink-score": 0.9761904761904762}
{"db_id": "tracking_grants_for_research", "question": "What is the total amount of grants given by each organisations? Also list the organisation id.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "grants : grant_amount (number) , organisation_id (number)", "shrink-score": 0.9523809523809523}
{"db_id": "tracking_grants_for_research", "question": "What is the total amount of grant money given to each organization and what is its id?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "grants : grant_amount (number) , organisation_id (number)", "shrink-score": 0.9523809523809523}
{"db_id": "tracking_grants_for_research", "question": "List the project details of the projects with the research outcome described with the substring 'Published'.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : project_details (text) , project_id (number) | project_outcomes : project_id (number) , outcome_code (text) | research_outcomes : outcome_code (text) , outcome_description (text)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_grants_for_research", "question": "What are the details for the project whose research has been published?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : project_details (text) , project_id (number) | project_outcomes : project_id (number) , outcome_code (text) | research_outcomes : outcome_code (text) , outcome_description (text)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_grants_for_research", "question": "How many staff does each project has? List the project id and the number in an ascending order.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : project_id (number) , staff_id (number) | projects : project_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "For each project id, how many staff does it have? List them in increasing order.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : project_id (number) , staff_id (number) | projects : project_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "What is the complete description of the researcher role.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "staff_roles : role_description (text) , role_code (text)", "shrink-score": 0.9523809523809523}
{"db_id": "tracking_grants_for_research", "question": "What is the complete description of the job of a researcher?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "staff_roles : role_description (text) , role_code (text)", "shrink-score": 0.9523809523809523}
{"db_id": "tracking_grants_for_research", "question": "When did the first staff for the projects started working?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : date_from (time)", "shrink-score": 0.9761904761904762}
{"db_id": "tracking_grants_for_research", "question": "When did the first staff member start working?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : date_from (time)", "shrink-score": 0.9761904761904762}
{"db_id": "tracking_grants_for_research", "question": "Which project made the most number of outcomes? List the project details and the project id.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : project_details (text) , project_id (number) | project_outcomes : project_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "What are the details and id of the project with the most outcomes?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : project_details (text) , project_id (number) | project_outcomes : project_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "Which projects have no outcome? List the project details.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : project_details (text) , project_id (number) | project_outcomes : project_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "What are the details of the project with no outcomes?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : project_details (text) , project_id (number) | project_outcomes : project_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "Which organisation hired the most number of research staff? List the organisation id, type and detail.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | research_staff : employer_organisation_id (number) , staff_id (number)", "shrink-score": 0.8809523809523809}
{"db_id": "tracking_grants_for_research", "question": "What are the ids, types, and details of the organization with the most research staff?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | research_staff : employer_organisation_id (number) , staff_id (number)", "shrink-score": 0.8809523809523809}
{"db_id": "tracking_grants_for_research", "question": "Show the role description and the id of the project staff involved in most number of project outcomes?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "staff_roles : role_description (text) , role_code (text) | project_staff : staff_id (number) , role_code (text) , project_id (number) | project_outcomes : project_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_grants_for_research", "question": "For each staff id, what is the description of the role that is involved with the most number of projects?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "staff_roles : role_description (text) , role_code (text) | project_staff : staff_id (number) , role_code (text) , project_id (number) | project_outcomes : project_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_grants_for_research", "question": "Which document type is described with the prefix 'Initial'?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "document_types : document_type_code (text) , document_description (text)", "shrink-score": 0.9523809523809523}
{"db_id": "tracking_grants_for_research", "question": "What is the type of the document whose description starts with the word 'Initial'?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "document_types : document_type_code (text) , document_description (text)", "shrink-score": 0.9523809523809523}
{"db_id": "tracking_grants_for_research", "question": "For grants with both documents described as 'Regular' and documents described as 'Initial Application', list its start date.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "grants : grant_start_date (time) , grant_id (number) | documents : grant_id (number) , document_type_code (text) | document_types : document_type_code (text) , document_description (text)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_grants_for_research", "question": "For grants that have descriptions of Regular and Initial Applications, what are their start dates?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "grants : grant_start_date (time) , grant_id (number) | documents : grant_id (number) , document_type_code (text) | document_types : document_type_code (text) , document_description (text)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_grants_for_research", "question": "How many documents can one grant have at most? List the grant id and number.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "documents : grant_id (number) , document_id (number)", "shrink-score": 0.9523809523809523}
{"db_id": "tracking_grants_for_research", "question": "For each grant id, how many documents does it have, and which one has the most?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "documents : grant_id (number) , document_id (number)", "shrink-score": 0.9523809523809523}
{"db_id": "tracking_grants_for_research", "question": "Find the organisation type description of the organisation detailed as 'quo'.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "organisation_types : organisation_type_description (text) , organisation_type (text) | organisations : organisation_type (text) , organisation_details (text)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "What is the type description of the organization whose detail is listed as 'quo'?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "organisation_types : organisation_type_description (text) , organisation_type (text) | organisations : organisation_type (text) , organisation_details (text)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "What are all the details of the organisations described as 'Sponsor'? Sort the result in an ascending order.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "organisations : organisation_details (text) , organisation_type (text) | organisation_types : organisation_type (text) , organisation_type_description (text)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "What are the details of all organizations that are described as Sponsors and sort the results in ascending order?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "organisations : organisation_details (text) , organisation_type (text) | organisation_types : organisation_type (text) , organisation_type_description (text)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "How many Patent outcomes are generated from all the projects?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_outcomes : outcome_code (text)", "shrink-score": 0.9761904761904762}
{"db_id": "tracking_grants_for_research", "question": "How many patents outcomes were listed for all the projects?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_outcomes : outcome_code (text)", "shrink-score": 0.9761904761904762}
{"db_id": "tracking_grants_for_research", "question": "How many project staff worked as leaders or started working before '1989-04-24 23:51:54'?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : role_code (text) , date_from (time) , staff_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "How many project members were leaders or started working before '1989-04-24 23:51:54'?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : role_code (text) , date_from (time) , staff_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "What is the last date of the staff leaving the projects?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : date_to (time)", "shrink-score": 0.9761904761904762}
{"db_id": "tracking_grants_for_research", "question": "What is the last date that a staff member left a project?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : date_to (time)", "shrink-score": 0.9761904761904762}
{"db_id": "tracking_grants_for_research", "question": "What are the result description of the project whose detail is 'sint'?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "research_outcomes : outcome_description (text) , outcome_code (text) | project_outcomes : outcome_code (text) , project_id (number) | projects : project_id (number) , project_details (text)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_grants_for_research", "question": "What is the description for the results whose project detail is 'sint'?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "research_outcomes : outcome_description (text) , outcome_code (text) | project_outcomes : outcome_code (text) , project_id (number) | projects : project_id (number) , project_details (text)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_grants_for_research", "question": "List the organisation id with the maximum outcome count, and the count.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : organisation_id (number) , project_id (number) | project_outcomes : project_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "What is the id of the organization with the maximum number of outcomes and how many outcomes are there?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : organisation_id (number) , project_id (number) | project_outcomes : project_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "List the project details of the projects launched by the organisation", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : project_details (text) , organisation_id (number) , project_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "What are the details for the projects which were launched by the organization with the most projects?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : project_details (text) , organisation_id (number) , project_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "List the research staff details, and order in ascending order.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "research_staff : staff_details (text)", "shrink-score": 0.9761904761904762}
{"db_id": "tracking_grants_for_research", "question": "What details are there on the research staff? List the result in ascending alphabetical order.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "research_staff : staff_details (text)", "shrink-score": 0.9761904761904762}
{"db_id": "tracking_grants_for_research", "question": "How many tasks are there in total?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "tasks : task_id (number)", "shrink-score": 0.9761904761904762}
{"db_id": "tracking_grants_for_research", "question": "How many tasks are there?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "tasks : task_id (number)", "shrink-score": 0.9761904761904762}
{"db_id": "tracking_grants_for_research", "question": "How many tasks does each project have? List the task count and the project detail.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : project_details (text) , project_id (number) | tasks : project_id (number) , task_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "For each project id, how many tasks are there?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "projects : project_details (text) , project_id (number) | tasks : project_id (number) , task_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "tracking_grants_for_research", "question": "What are the staff roles of the staff who", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : role_code (text) , date_from (time) , date_to (time)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "What roles did staff members play between '2003-04-19 15:06:20' and '2016-03-15 00:33:18'?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : role_code (text) , date_from (time) , date_to (time)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "What are the descriptions of all the project outcomes?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "research_outcomes : outcome_description (text) , outcome_code (text) | project_outcomes : outcome_code (text)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "List the description of the outcomes for all projects.", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "research_outcomes : outcome_description (text) , outcome_code (text) | project_outcomes : outcome_code (text)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_grants_for_research", "question": "Which role is most common for the staff?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : role_code (text) , staff_id (number)", "shrink-score": 0.9523809523809523}
{"db_id": "tracking_grants_for_research", "question": "What is the most common role for the staff?", "schema": "document_types : document_type_code (text) , document_description (text) | documents : document_id (number) , document_type_code (text) , grant_id (number) , sent_date (time) , response_received_date (time) , other_details (text) | grants : grant_id (number) , organisation_id (number) , grant_amount (number) , grant_start_date (time) , grant_end_date (time) , other_details (text) | organisation_types : organisation_type (text) , organisation_type_description (text) | organisations : organisation_id (number) , organisation_type (text) , organisation_details (text) | project_outcomes : project_id (number) , outcome_code (text) , outcome_details (text) | project_staff : staff_id (number) , project_id (number) , role_code (text) , date_from (time) , date_to (time) , other_details (text) | projects : project_id (number) , organisation_id (number) , project_details (text) | research_outcomes : outcome_code (text) , outcome_description (text) | research_staff : staff_id (number) , employer_organisation_id (number) , staff_details (text) | staff_roles : role_code (text) , role_description (text) | tasks : task_id (number) , project_id (number) , task_details (text) , eg agree", "summarized-schema": "project_staff : role_code (text) , staff_id (number)", "shrink-score": 0.9523809523809523}
{"db_id": "network_2", "question": "How many friends does Dan have?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "personfriend : friend (text) , name (text) | person : name (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "How many friends does Dan have?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "personfriend : friend (text) , name (text) | person : name (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "How many females does this network has?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : gender (text) , name (text)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "How many females are in the network?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : gender (text) , name (text)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "What is the average age for all person?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number)", "shrink-score": 0.875}
{"db_id": "network_2", "question": "What is the average age for all people in the table?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number)", "shrink-score": 0.875}
{"db_id": "network_2", "question": "How many different cities are they from?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : city (text)", "shrink-score": 0.875}
{"db_id": "network_2", "question": "How many different cities do people originate from?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : city (text)", "shrink-score": 0.875}
{"db_id": "network_2", "question": "How many type of jobs do they have?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : job (text)", "shrink-score": 0.875}
{"db_id": "network_2", "question": "How many different jobs are listed?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : job (text)", "shrink-score": 0.875}
{"db_id": "network_2", "question": "Who is the oldest person?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "What is the name of the person who is the oldest?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "Who is the oldest person whose job is student?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , job (text) , age (number)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "What is the name of the oldest student?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , job (text) , age (number)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "Who is the youngest male?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , gender (text) , age (number)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "What is the name of the youngest male?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , gender (text) , age (number)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "How old is the doctor named Zach?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , job (text) , name (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "What is the age of the doctor named Zach?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , job (text) , name (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "Who is the person whose age is below 30?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "What is the name of the person whose age is below 30?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "How many people whose age is greater 30 and job is engineer?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , job (text) , name (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "HOw many engineers are older than 30?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , job (text) , name (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "What is the average age for each gender?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , gender (text)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "How old is each gender, on average?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , gender (text)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "What is average age for different job title?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , job (text)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "How old is the average person for each job?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , job (text)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "What is average age of male for different job title?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , job (text) , gender (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "What is the average age for a male in each job?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , job (text) , gender (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "What is minimum age for different job title?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , job (text)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "How old is the youngest person for each job?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , job (text)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "Find the number of people who is under 40 for each gender.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : gender (text) , age (number) , name (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "How many people are under 40 for each gender?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : gender (text) , age (number) , name (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "Find the name of people whose age is greater than any engineer sorted by their age.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) , job (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "What is the name of all the people who are older than at least one engineer? Order them by age.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) , job (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "Find the number of people whose age is greater than all engineers.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , job (text) , name (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "How many people are older than every engineer?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , job (text) , name (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "list the name, job title of all people ordered by their names.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , job (text)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "What are the names and job titles of every person ordered alphabetically by name?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , job (text)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "Find the names of all person sorted in the descending order using age.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "What are the names of everybody sorted by age in descending order?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "Find the name and age of all males in order of their age.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , gender (text) , age (number)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "What is the name and age of every male? Order the results by age.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , gender (text) , age (number)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "Find the name and age of the person who is a friend of both Dan and Alice.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "What are the names and ages of every person who is a friend of both Dan and Alice?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "Find the name and age of the person who is a friend of Dan or Alice.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "What are the different names and ages of every friend of either Dan or alice?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "Find the name of the person who has friends with age above 40 and under age 30?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "What are the names of every person who has a friend over 40 and under 30?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "Find the name of the person who has friends with age above 40 but not under age 30?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "What are the names of the people who are older 40 but no friends under age 30?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "Find the name of the person who has no student friends.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , job (text) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "What are the names of the people who have no friends who are students?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , job (text) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "Find the person who has exactly one friend.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "personfriend : name (text)", "shrink-score": 0.875}
{"db_id": "network_2", "question": "What are the names of everybody who has exactly one friend?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "personfriend : name (text)", "shrink-score": 0.875}
{"db_id": "network_2", "question": "Who are the friends of Bob?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "personfriend : friend (text) , name (text) | person : name (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "Who are Bob's friends?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "personfriend : friend (text) , name (text) | person : name (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "Find the name of persons who are friends with Bob.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) | personfriend : name (text) , friend (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "What are the names of all of Bob's friends?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) | personfriend : name (text) , friend (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "Find the names of females who are friends with Zach", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , gender (text) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "What are the names of all females who are friends with Zach?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , gender (text) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "Find the female friends of Alice.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "personfriend : friend (text) , name (text) | person : name (text) , gender (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "What are all the friends of Alice who are female?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "personfriend : friend (text) , name (text) | person : name (text) , gender (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "Find the male friend of Alice whose job is a doctor?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "personfriend : friend (text) , name (text) | person : name (text) , gender (text) , job (text)", "shrink-score": 0.375}
{"db_id": "network_2", "question": "Who are the friends of Alice that are doctors?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "personfriend : friend (text) , name (text) | person : name (text) , gender (text) , job (text)", "shrink-score": 0.375}
{"db_id": "network_2", "question": "Who has a friend that is from new york city?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , city (text) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "What are the names of all friends who are from New York?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , city (text) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "Who has friends that are younger than the average age?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "What are the different names of friends who are younger than the average age for a friend?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "Who has friends that are older than the average age? Print their friends and their ages as well", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "Whare the names, friends, and ages of all people who are older than the average age of a person?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "Who is the friend of Zach with longest year relationship?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "personfriend : friend (text) , name (text) , year (number)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "Which friend of Zach has the longest-lasting friendship?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "personfriend : friend (text) , name (text) , year (number)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "What is the age of the friend of Zach with longest year relationship?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , name (text) | personfriend : name (text) , friend (text) , year (number)", "shrink-score": 0.375}
{"db_id": "network_2", "question": "What are the ages of all of Zach's friends who are in the longest relationship?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : age (number) , name (text) | personfriend : name (text) , friend (text) , year (number)", "shrink-score": 0.375}
{"db_id": "network_2", "question": "Find the name of persons who are friends with Alice for the shortest years.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "personfriend : name (text) , friend (text) , year (number)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "What are the names of all people who are friends with Alice for the shortest amount of time?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "personfriend : name (text) , friend (text) , year (number)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "Find the name, age, and job title of persons who are friends with Alice for the longest years.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) , job (text) | personfriend : name (text) , friend (text) , year (number)", "shrink-score": 0.25}
{"db_id": "network_2", "question": "What are the names, ages, and jobs of all people who are friends with Alice for the longest amount of time?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) , job (text) | personfriend : name (text) , friend (text) , year (number)", "shrink-score": 0.25}
{"db_id": "network_2", "question": "Who is the person that has no friend?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) | personfriend : name (text)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "What are the names of all people who do not have friends?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) | personfriend : name (text)", "shrink-score": 0.75}
{"db_id": "network_2", "question": "Which person whose friends have the oldest average age?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "What is the name of the person who has the oldest average age for their friends, and what is that average age?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , age (number) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "What is the total number of people who has no friend living in the city of Austin.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , city (text) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "What is the total number of people who have no friends living in Austin?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) , city (text) | personfriend : name (text) , friend (text)", "shrink-score": 0.5}
{"db_id": "network_2", "question": "Find Alice's friends of friends.", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) | personfriend : name (text) , friend (text)", "shrink-score": 0.625}
{"db_id": "network_2", "question": "What are the names of all of Alice's friends of friends?", "schema": "person : name (text) , age (number) , city (text) , gender (text) , job (text) | personfriend : name (text) , friend (text) , year (number)", "summarized-schema": "person : name (text) | personfriend : name (text) , friend (text)", "shrink-score": 0.625}
{"db_id": "decoration_competition", "question": "How many members are there?", "schema": "college : college_id (number) , name (text) , leader_name (text) , college_location (text) | member : member_id (number) , name (text) , country (text) , college_id (number) | round : round_id (number) , member_id (number) , decoration_theme (text) , rank_in_round (number)", "summarized-schema": "member : member_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "decoration_competition", "question": "List the names of members in ascending alphabetical order.", "schema": "college : college_id (number) , name (text) , leader_name (text) , college_location (text) | member : member_id (number) , name (text) , country (text) , college_id (number) | round : round_id (number) , member_id (number) , decoration_theme (text) , rank_in_round (number)", "summarized-schema": "member : name (text)", "shrink-score": 0.9166666666666666}
{"db_id": "decoration_competition", "question": "What are the names and countries of members?", "schema": "college : college_id (number) , name (text) , leader_name (text) , college_location (text) | member : member_id (number) , name (text) , country (text) , college_id (number) | round : round_id (number) , member_id (number) , decoration_theme (text) , rank_in_round (number)", "summarized-schema": "member : name (text) , country (text)", "shrink-score": 0.8333333333333334}
{"db_id": "decoration_competition", "question": "Show the names of members whose country is \"United States\" or \"Canada\".", "schema": "college : college_id (number) , name (text) , leader_name (text) , college_location (text) | member : member_id (number) , name (text) , country (text) , college_id (number) | round : round_id (number) , member_id (number) , decoration_theme (text) , rank_in_round (number)", "summarized-schema": "member : name (text) , country (text)", "shrink-score": 0.8333333333333334}
{"db_id": "decoration_competition", "question": "Show the different countries and the number of members from each.", "schema": "college : college_id (number) , name (text) , leader_name (text) , college_location (text) | member : member_id (number) , name (text) , country (text) , college_id (number) | round : round_id (number) , member_id (number) , decoration_theme (text) , rank_in_round (number)", "summarized-schema": "member : country (text) , member_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "decoration_competition", "question": "Show the most common country across members.", "schema": "college : college_id (number) , name (text) , leader_name (text) , college_location (text) | member : member_id (number) , name (text) , country (text) , college_id (number) | round : round_id (number) , member_id (number) , decoration_theme (text) , rank_in_round (number)", "summarized-schema": "member : country (text) , member_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "decoration_competition", "question": "Which countries have more than two members?", "schema": "college : college_id (number) , name (text) , leader_name (text) , college_location (text) | member : member_id (number) , name (text) , country (text) , college_id (number) | round : round_id (number) , member_id (number) , decoration_theme (text) , rank_in_round (number)", "summarized-schema": "member : country (text) , member_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "decoration_competition", "question": "Show the leader names and locations of colleges.", "schema": "college : college_id (number) , name (text) , leader_name (text) , college_location (text) | member : member_id (number) , name (text) , country (text) , college_id (number) | round : round_id (number) , member_id (number) , decoration_theme (text) , rank_in_round (number)", "summarized-schema": "college : leader_name (text) , college_location (text)", "shrink-score": 0.8333333333333334}
{"db_id": "decoration_competition", "question": "Show the names of members and names of colleges they go to.", "schema": "college : college_id (number) , name (text) , leader_name (text) , college_location (text) | member : member_id (number) , name (text) , country (text) , college_id (number) | round : round_id (number) , member_id (number) , decoration_theme (text) , rank_in_round (number)", "summarized-schema": "college : name (text) , college_id (number) | member : name (text) , college_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "decoration_competition", "question": "Show the names of members and the locations of colleges they go to in ascending alphabetical order of member names.", "schema": "college : college_id (number) , name (text) , leader_name (text) , college_location (text) | member : member_id (number) , name (text) , country (text) , college_id (number) | round : round_id (number) , member_id (number) , decoration_theme (text) , rank_in_round (number)", "summarized-schema": "college : name (text) , college_location (text) , college_id (number) | member : name (text) , college_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "decoration_competition", "question": "Show the distinct leader names of colleges associated with members from country \"Canada\".", "schema": "college : college_id (number) , name (text) , leader_name (text) , college_location (text) | member : member_id (number) , name (text) , country (text) , college_id (number) | round : round_id (number) , member_id (number) , decoration_theme (text) , rank_in_round (number)", "summarized-schema": "college : leader_name (text) , college_id (number) | member : college_id (number) , country (text)", "shrink-score": 0.6666666666666666}
{"db_id": "decoration_competition", "question": "Show the names of members and the decoration themes they have.", "schema": "college : college_id (number) , name (text) , leader_name (text) , college_location (text) | member : member_id (number) , name (text) , country (text) , college_id (number) | round : round_id (number) , member_id (number) , decoration_theme (text) , rank_in_round (number)", "summarized-schema": "member : name (text) , member_id (number) | round : decoration_theme (text) , member_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "decoration_competition", "question": "Show the names of members that have a rank in round higher than 3.", "schema": "college : college_id (number) , name (text) , leader_name (text) , college_location (text) | member : member_id (number) , name (text) , country (text) , college_id (number) | round : round_id (number) , member_id (number) , decoration_theme (text) , rank_in_round (number)", "summarized-schema": "member : name (text) , member_id (number) | round : member_id (number) , rank_in_round (number)", "shrink-score": 0.6666666666666666}
{"db_id": "decoration_competition", "question": "Show the names of members in ascending order of their rank in rounds.", "schema": "college : college_id (number) , name (text) , leader_name (text) , college_location (text) | member : member_id (number) , name (text) , country (text) , college_id (number) | round : round_id (number) , member_id (number) , decoration_theme (text) , rank_in_round (number)", "summarized-schema": "member : name (text) , member_id (number) | round : member_id (number) , rank_in_round (number)", "shrink-score": 0.6666666666666666}
{"db_id": "decoration_competition", "question": "List the names of members who did not participate in any round.", "schema": "college : college_id (number) , name (text) , leader_name (text) , college_location (text) | member : member_id (number) , name (text) , country (text) , college_id (number) | round : round_id (number) , member_id (number) , decoration_theme (text) , rank_in_round (number)", "summarized-schema": "member : name (text) , member_id (number) | round : member_id (number)", "shrink-score": 0.75}
{"db_id": "document_management", "question": "Find the name and access counts of all documents, in alphabetic order of the document name.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_name (text) , access_count (number)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "What are the names of all the documents, as well as the access counts of each, ordered alphabetically?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_name (text) , access_count (number)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "Find the name of the document that has been accessed the greatest number of times, as well as the count of how many times it has been accessed?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_name (text) , access_count (number)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "What is the name of the document which has been accessed the most times, as well as the number of times it has been accessed?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_name (text) , access_count (number)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "Find the types of documents with more than 4 documents.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_type_code (text) , document_code (text)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "What are the codes of types of documents of which there are for or more?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_type_code (text) , document_code (text)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "Find the total access count of all documents in the most popular document type.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : access_count (number) , document_type_code (text) , document_code (text)", "shrink-score": 0.9032258064516129}
{"db_id": "document_management", "question": "What is the total access count of documents that are of the most common document type?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : access_count (number) , document_type_code (text) , document_code (text)", "shrink-score": 0.9032258064516129}
{"db_id": "document_management", "question": "What is the average access count of documents?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : access_count (number)", "shrink-score": 0.967741935483871}
{"db_id": "document_management", "question": "Find the average access count across all documents?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : access_count (number)", "shrink-score": 0.967741935483871}
{"db_id": "document_management", "question": "What is the structure of the document with the least number of accesses?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "document_structures : document_structure_description (text) , document_structure_code (text) | documents : document_structure_code (text) , document_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "document_management", "question": "Return the structure description of the document that has been accessed the fewest number of times.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "document_structures : document_structure_description (text) , document_structure_code (text) | documents : document_structure_code (text) , document_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "document_management", "question": "What is the type of the document named \"David CV\"?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_type_code (text) , document_name (text)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "Return the type code of the document named \"David CV\".", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_type_code (text) , document_name (text)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "Find the list of documents that are both in the most three popular type and have the most three popular structure.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_name (text) , document_type_code (text) , document_structure_code (text) , document_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "document_management", "question": "What are the names of documents that have both one of the three most common types and one of three most common structures?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_name (text) , document_type_code (text) , document_structure_code (text) , document_code (text)", "shrink-score": 0.8709677419354839}
{"db_id": "document_management", "question": "What document types do have more than 10000 total access number.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_type_code (text) , access_count (number)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "Return the codes of the document types that do not have a total access count of over 10000.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_type_code (text) , access_count (number)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "What are all the section titles of the document named \"David CV\"?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "document_sections : section_title (text) , document_code (text) | documents : document_code (text) , document_name (text)", "shrink-score": 0.8709677419354839}
{"db_id": "document_management", "question": "Give the section titles of the document with the name \"David CV\".", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "document_sections : section_title (text) , document_code (text) | documents : document_code (text) , document_name (text)", "shrink-score": 0.8709677419354839}
{"db_id": "document_management", "question": "Find all the name of documents without any sections.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_name (text) , document_code (text) | document_sections : document_code (text)", "shrink-score": 0.9032258064516129}
{"db_id": "document_management", "question": "What are the names of documents that do not have any sections?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_name (text) , document_code (text) | document_sections : document_code (text)", "shrink-score": 0.9032258064516129}
{"db_id": "document_management", "question": "List all the username and passwords of users with the most popular role.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "users : user_name (text) , password (text) , role_code (text) , user_id (number)", "shrink-score": 0.8709677419354839}
{"db_id": "document_management", "question": "What are the usernames and passwords of users that have the most common role?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "users : user_name (text) , password (text) , role_code (text) , user_id (number)", "shrink-score": 0.8709677419354839}
{"db_id": "document_management", "question": "Find the average access counts of documents with functional area \"Acknowledgement\".", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : access_count (number) , document_code (text) | document_functional_areas : document_code (text) , functional_area_code (text) | functional_areas : functional_area_code (text) , functional_area_description (text)", "shrink-score": 0.8064516129032258}
{"db_id": "document_management", "question": "What are the average access counts of documents that have the functional area description \"Acknowledgement\"?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : access_count (number) , document_code (text) | document_functional_areas : document_code (text) , functional_area_code (text) | functional_areas : functional_area_code (text) , functional_area_description (text)", "shrink-score": 0.8064516129032258}
{"db_id": "document_management", "question": "Find names of the document without any images.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_name (text) , document_code (text) | document_sections : document_code (text) , section_id (number) | document_sections_images : section_id (number)", "shrink-score": 0.8387096774193549}
{"db_id": "document_management", "question": "What are the names of documents that do not have any images?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_name (text) , document_code (text) | document_sections : document_code (text) , section_id (number) | document_sections_images : section_id (number)", "shrink-score": 0.8387096774193549}
{"db_id": "document_management", "question": "What is the name of the document with the most number of sections?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_name (text) , document_code (text) | document_sections : document_code (text) , section_id (number)", "shrink-score": 0.8709677419354839}
{"db_id": "document_management", "question": "Return the name of the document that has the most sections.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_name (text) , document_code (text) | document_sections : document_code (text) , section_id (number)", "shrink-score": 0.8709677419354839}
{"db_id": "document_management", "question": "List all the document names which contains \"CV\".", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_name (text)", "shrink-score": 0.967741935483871}
{"db_id": "document_management", "question": "What are the names of documents that contain the substring \"CV\"?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_name (text)", "shrink-score": 0.967741935483871}
{"db_id": "document_management", "question": "How many users are logged in?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "users : user_login (text) , user_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "Count the number of users that are logged in.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "users : user_login (text) , user_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "Find the description of the most popular role among the users that have logged in.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "roles : role_description (text) , role_code (text) | users : role_code (text) , user_login (text) , user_id (number)", "shrink-score": 0.8387096774193549}
{"db_id": "document_management", "question": "What is the description of the most popular role among users that have logged in?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "roles : role_description (text) , role_code (text) | users : role_code (text) , user_login (text) , user_id (number)", "shrink-score": 0.8387096774193549}
{"db_id": "document_management", "question": "Find the average access count of documents with the least popular structure.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : access_count (number) , document_structure_code (text) , document_code (text)", "shrink-score": 0.9032258064516129}
{"db_id": "document_management", "question": "What is the average access count of documents that have the least common structure?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : access_count (number) , document_structure_code (text) , document_code (text)", "shrink-score": 0.9032258064516129}
{"db_id": "document_management", "question": "List all the image name and URLs in the order of their names.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "images : image_name (text) , image_url (text)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "What are the names and urls of images, sorted alphabetically?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "images : image_name (text) , image_url (text)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "Find the number of users in each role.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "users : role_code (text) , user_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "What are the different role codes for users, and how many users have each?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "users : role_code (text) , user_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "What document types have more than 2 corresponding documents?", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_type_code (text) , document_code (text)", "shrink-score": 0.9354838709677419}
{"db_id": "document_management", "question": "Give the codes of document types that have more than 2 corresponding documents.", "schema": "roles : role_code (text) , role_description (text) | users : user_id (number) , role_code (text) , user_name (text) , user_login (text) , password (text) | document_structures : document_structure_code (text) , parent_document_structure_code (text) , document_structure_description (text) | functional_areas : functional_area_code (text) , parent_functional_area_code (text) , functional_area_description (text) | images : image_id (number) , image_alt_text (text) , image_name (text) , image_url (text) | documents : document_code (text) , document_structure_code (text) , document_type_code (text) , access_count (number) , document_name (text) | document_functional_areas : document_code (text) , functional_area_code (text) | document_sections : section_id (number) , document_code (text) , section_sequence (number) , section_code (text) , section_title (text) | document_sections_images : section_id (number) , image_id (number)", "summarized-schema": "documents : document_type_code (text) , document_code (text)", "shrink-score": 0.9354838709677419}
{"db_id": "company_office", "question": "How many companies are there?", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "company_office", "question": "Count the number of companies.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "company_office", "question": "List the names of companies in descending order of market value.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : name (text) , market_value_billion (text)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "Sort the company names in descending order of the company's market value.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : name (text) , market_value_billion (text)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "What are the names of companies whose headquarters are not \"USA\"?", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : name (text) , headquarters (text)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "Find the names of the companies whose headquarters are not located in \"USA\".", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : name (text) , headquarters (text)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "What are the name and assets of each company, sorted in ascending order of company name?", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : name (text) , assets_billion (number)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "List the name and assets of each company in ascending order of company name.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : name (text) , assets_billion (number)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "What are the average profits of companies?", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : profits_billion (number)", "shrink-score": 0.9411764705882353}
{"db_id": "company_office", "question": "Compute the average profits companies make.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : profits_billion (number)", "shrink-score": 0.9411764705882353}
{"db_id": "company_office", "question": "What are the maximum and minimum sales of the companies whose industries are not \"Banking\".", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : sales_billion (number) , industry (text)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "Find the maximum and minimum sales of the companies that are not in the \"Banking\" industry.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : sales_billion (number) , industry (text)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "How many different industries are the companies in?", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : industry (text)", "shrink-score": 0.9411764705882353}
{"db_id": "company_office", "question": "Count the number of distinct company industries.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : industry (text)", "shrink-score": 0.9411764705882353}
{"db_id": "company_office", "question": "List the names of buildings in descending order of building height.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "buildings : name (text) , height (number)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "What are the names of buildings sorted in descending order of building height?", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "buildings : name (text) , height (number)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "Find the stories of the building with the largest height.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "buildings : stories (number) , height (number)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "What is the stories of highest building?", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "buildings : stories (number) , height (number)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "List the name of a building along with the name of a company whose office is in the building.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "buildings : name (text) , id (number) | companies : name (text) , id (number) | office_locations : building_id (number) , company_id (number)", "shrink-score": 0.6470588235294118}
{"db_id": "company_office", "question": "For each company, return the company name and the name of the building its office is located in.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "buildings : name (text) , id (number) | companies : name (text) , id (number) | office_locations : building_id (number) , company_id (number)", "shrink-score": 0.6470588235294118}
{"db_id": "company_office", "question": "Show the names of the buildings that have more than one company offices.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "buildings : name (text) , id (number) | companies : name (text) , id (number) | office_locations : building_id (number) , company_id (number)", "shrink-score": 0.6470588235294118}
{"db_id": "company_office", "question": "Which buildings have more than one company offices? Give me the building names.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "buildings : name (text) , id (number) | companies : name (text) , id (number) | office_locations : building_id (number) , company_id (number)", "shrink-score": 0.6470588235294118}
{"db_id": "company_office", "question": "Show the name of the building that has the most company offices.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "buildings : name (text) , id (number) | companies : name (text) , id (number) | office_locations : building_id (number) , company_id (number)", "shrink-score": 0.6470588235294118}
{"db_id": "company_office", "question": "Which building has the largest number of company offices? Give me the building name.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "buildings : name (text) , id (number) | companies : name (text) , id (number) | office_locations : building_id (number) , company_id (number)", "shrink-score": 0.6470588235294118}
{"db_id": "company_office", "question": "Please show the names of the buildings whose status is \"on-hold\", in ascending order of stories.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "buildings : name (text) , status (text) , stories (number)", "shrink-score": 0.8235294117647058}
{"db_id": "company_office", "question": "Find the names of the buildings in \"on-hold\" status, and sort them in ascending order of building stories.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "buildings : name (text) , status (text) , stories (number)", "shrink-score": 0.8235294117647058}
{"db_id": "company_office", "question": "Please show each industry and the corresponding number of companies in that industry.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : industry (text) , id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "Whah are the name of each industry and the number of companies in that industry?", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : industry (text) , id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "Please show the industries of companies in descending order of the number of companies.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : industry (text) , id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "Sort all the industries in descending order of the count of companies in each industry", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : industry (text) , id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "List the industry shared by the most companies.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : industry (text) , id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "Which industry has the most companies?", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : industry (text) , id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "List the names of buildings that have no company office.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "buildings : name (text) , id (number) | office_locations : building_id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "company_office", "question": "Which buildings do not have any company office? Give me the building names.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "buildings : name (text) , id (number) | office_locations : building_id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "company_office", "question": "Show the industries shared by companies whose headquarters are \"USA\" and companies whose headquarters are \"China\".", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : industry (text) , headquarters (text)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "Which industries have both companies with headquarter in \"USA\" and companies with headquarter in \"China\"?", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : industry (text) , headquarters (text)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "Find the number of companies whose industry is \"Banking\" or \"Conglomerate\",", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : industry (text) , id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "How many companies are in either \"Banking\" industry or \"Conglomerate\" industry?", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : industry (text) , id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "Show the headquarters shared by more than two companies.", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : headquarters (text) , id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "company_office", "question": "Which headquarter locations are used by more than 2 companies?", "schema": "buildings : id (number) , name (text) , city (text) , height (number) , stories (number) , status (text) | companies : id (number) , name (text) , headquarters (text) , industry (text) , sales_billion (number) , profits_billion (number) , assets_billion (number) , market_value_billion (text) | office_locations : building_id (number) , company_id (number) , move_in_year (number)", "summarized-schema": "companies : headquarters (text) , id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "solvency_ii", "question": "How many products are there?", "schema": "addresses : address_id (number) , address_details (text) | locations : location_id (number) , other_details (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | parties : party_id (number) , party_details (text) | assets : asset_id (number) , other_details (text) | channels : channel_id (number) , other_details (text) | finances : finance_id (number) , other_details (text) | events : event_id (number) , address_id (number) , channel_id (number) , event_type_code (text) , finance_id (number) , location_id (number) | products_in_events : product_in_event_id (number) , event_id (number) , product_id (number) | parties_in_events : party_id (number) , event_id (number) , role_code (text) | agreements : document_id (number) , event_id (number) | assets_in_events : asset_id (number) , event_id (number)", "summarized-schema": "products : product_id (number)", "shrink-score": 0.96875}
{"db_id": "solvency_ii", "question": "List the name of products in ascending order of price.", "schema": "addresses : address_id (number) , address_details (text) | locations : location_id (number) , other_details (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | parties : party_id (number) , party_details (text) | assets : asset_id (number) , other_details (text) | channels : channel_id (number) , other_details (text) | finances : finance_id (number) , other_details (text) | events : event_id (number) , address_id (number) , channel_id (number) , event_type_code (text) , finance_id (number) , location_id (number) | products_in_events : product_in_event_id (number) , event_id (number) , product_id (number) | parties_in_events : party_id (number) , event_id (number) , role_code (text) | agreements : document_id (number) , event_id (number) | assets_in_events : asset_id (number) , event_id (number)", "summarized-schema": "products : product_name (text) , product_price (number)", "shrink-score": 0.9375}
{"db_id": "solvency_ii", "question": "What are the names and type codes of products?", "schema": "addresses : address_id (number) , address_details (text) | locations : location_id (number) , other_details (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | parties : party_id (number) , party_details (text) | assets : asset_id (number) , other_details (text) | channels : channel_id (number) , other_details (text) | finances : finance_id (number) , other_details (text) | events : event_id (number) , address_id (number) , channel_id (number) , event_type_code (text) , finance_id (number) , location_id (number) | products_in_events : product_in_event_id (number) , event_id (number) , product_id (number) | parties_in_events : party_id (number) , event_id (number) , role_code (text) | agreements : document_id (number) , event_id (number) | assets_in_events : asset_id (number) , event_id (number)", "summarized-schema": "products : product_name (text) , product_type_code (text)", "shrink-score": 0.9375}
{"db_id": "solvency_ii", "question": "Show the prices of the products named \"Dining\" or \"Trading Policy\".", "schema": "addresses : address_id (number) , address_details (text) | locations : location_id (number) , other_details (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | parties : party_id (number) , party_details (text) | assets : asset_id (number) , other_details (text) | channels : channel_id (number) , other_details (text) | finances : finance_id (number) , other_details (text) | events : event_id (number) , address_id (number) , channel_id (number) , event_type_code (text) , finance_id (number) , location_id (number) | products_in_events : product_in_event_id (number) , event_id (number) , product_id (number) | parties_in_events : party_id (number) , event_id (number) , role_code (text) | agreements : document_id (number) , event_id (number) | assets_in_events : asset_id (number) , event_id (number)", "summarized-schema": "products : product_price (number) , product_name (text)", "shrink-score": 0.9375}
{"db_id": "solvency_ii", "question": "What is the average price for products?", "schema": "addresses : address_id (number) , address_details (text) | locations : location_id (number) , other_details (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | parties : party_id (number) , party_details (text) | assets : asset_id (number) , other_details (text) | channels : channel_id (number) , other_details (text) | finances : finance_id (number) , other_details (text) | events : event_id (number) , address_id (number) , channel_id (number) , event_type_code (text) , finance_id (number) , location_id (number) | products_in_events : product_in_event_id (number) , event_id (number) , product_id (number) | parties_in_events : party_id (number) , event_id (number) , role_code (text) | agreements : document_id (number) , event_id (number) | assets_in_events : asset_id (number) , event_id (number)", "summarized-schema": "products : product_price (number)", "shrink-score": 0.96875}
{"db_id": "solvency_ii", "question": "What is the name of the product with the highest price?", "schema": "addresses : address_id (number) , address_details (text) | locations : location_id (number) , other_details (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | parties : party_id (number) , party_details (text) | assets : asset_id (number) , other_details (text) | channels : channel_id (number) , other_details (text) | finances : finance_id (number) , other_details (text) | events : event_id (number) , address_id (number) , channel_id (number) , event_type_code (text) , finance_id (number) , location_id (number) | products_in_events : product_in_event_id (number) , event_id (number) , product_id (number) | parties_in_events : party_id (number) , event_id (number) , role_code (text) | agreements : document_id (number) , event_id (number) | assets_in_events : asset_id (number) , event_id (number)", "summarized-schema": "products : product_name (text) , product_price (number)", "shrink-score": 0.9375}
{"db_id": "solvency_ii", "question": "Show different type codes of products and the number of products with each type code.", "schema": "addresses : address_id (number) , address_details (text) | locations : location_id (number) , other_details (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | parties : party_id (number) , party_details (text) | assets : asset_id (number) , other_details (text) | channels : channel_id (number) , other_details (text) | finances : finance_id (number) , other_details (text) | events : event_id (number) , address_id (number) , channel_id (number) , event_type_code (text) , finance_id (number) , location_id (number) | products_in_events : product_in_event_id (number) , event_id (number) , product_id (number) | parties_in_events : party_id (number) , event_id (number) , role_code (text) | agreements : document_id (number) , event_id (number) | assets_in_events : asset_id (number) , event_id (number)", "summarized-schema": "products : product_type_code (text) , product_id (number)", "shrink-score": 0.9375}
{"db_id": "solvency_ii", "question": "Show the most common type code across products.", "schema": "addresses : address_id (number) , address_details (text) | locations : location_id (number) , other_details (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | parties : party_id (number) , party_details (text) | assets : asset_id (number) , other_details (text) | channels : channel_id (number) , other_details (text) | finances : finance_id (number) , other_details (text) | events : event_id (number) , address_id (number) , channel_id (number) , event_type_code (text) , finance_id (number) , location_id (number) | products_in_events : product_in_event_id (number) , event_id (number) , product_id (number) | parties_in_events : party_id (number) , event_id (number) , role_code (text) | agreements : document_id (number) , event_id (number) | assets_in_events : asset_id (number) , event_id (number)", "summarized-schema": "products : product_type_code (text) , product_id (number)", "shrink-score": 0.9375}
{"db_id": "solvency_ii", "question": "Show the product type codes that have at least two products.", "schema": "addresses : address_id (number) , address_details (text) | locations : location_id (number) , other_details (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | parties : party_id (number) , party_details (text) | assets : asset_id (number) , other_details (text) | channels : channel_id (number) , other_details (text) | finances : finance_id (number) , other_details (text) | events : event_id (number) , address_id (number) , channel_id (number) , event_type_code (text) , finance_id (number) , location_id (number) | products_in_events : product_in_event_id (number) , event_id (number) , product_id (number) | parties_in_events : party_id (number) , event_id (number) , role_code (text) | agreements : document_id (number) , event_id (number) | assets_in_events : asset_id (number) , event_id (number)", "summarized-schema": "products : product_type_code (text) , product_id (number)", "shrink-score": 0.9375}
{"db_id": "solvency_ii", "question": "Show the product type codes that have both products with price higher than 4500 and products with price lower than 3000.", "schema": "addresses : address_id (number) , address_details (text) | locations : location_id (number) , other_details (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | parties : party_id (number) , party_details (text) | assets : asset_id (number) , other_details (text) | channels : channel_id (number) , other_details (text) | finances : finance_id (number) , other_details (text) | events : event_id (number) , address_id (number) , channel_id (number) , event_type_code (text) , finance_id (number) , location_id (number) | products_in_events : product_in_event_id (number) , event_id (number) , product_id (number) | parties_in_events : party_id (number) , event_id (number) , role_code (text) | agreements : document_id (number) , event_id (number) | assets_in_events : asset_id (number) , event_id (number)", "summarized-schema": "products : product_type_code (text) , product_price (number)", "shrink-score": 0.9375}
{"db_id": "solvency_ii", "question": "Show the names of products and the number of events they are in.", "schema": "addresses : address_id (number) , address_details (text) | locations : location_id (number) , other_details (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | parties : party_id (number) , party_details (text) | assets : asset_id (number) , other_details (text) | channels : channel_id (number) , other_details (text) | finances : finance_id (number) , other_details (text) | events : event_id (number) , address_id (number) , channel_id (number) , event_type_code (text) , finance_id (number) , location_id (number) | products_in_events : product_in_event_id (number) , event_id (number) , product_id (number) | parties_in_events : party_id (number) , event_id (number) , role_code (text) | agreements : document_id (number) , event_id (number) | assets_in_events : asset_id (number) , event_id (number)", "summarized-schema": "products : product_name (text) , product_id (number) | products_in_events : product_id (number) , product_in_event_id (number)", "shrink-score": 0.875}
{"db_id": "solvency_ii", "question": "Show the names of products and the number of events they are in, sorted by the number of events in descending order.", "schema": "addresses : address_id (number) , address_details (text) | locations : location_id (number) , other_details (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | parties : party_id (number) , party_details (text) | assets : asset_id (number) , other_details (text) | channels : channel_id (number) , other_details (text) | finances : finance_id (number) , other_details (text) | events : event_id (number) , address_id (number) , channel_id (number) , event_type_code (text) , finance_id (number) , location_id (number) | products_in_events : product_in_event_id (number) , event_id (number) , product_id (number) | parties_in_events : party_id (number) , event_id (number) , role_code (text) | agreements : document_id (number) , event_id (number) | assets_in_events : asset_id (number) , event_id (number)", "summarized-schema": "products : product_name (text) , product_id (number) | products_in_events : product_id (number) , product_in_event_id (number)", "shrink-score": 0.875}
{"db_id": "solvency_ii", "question": "Show the names of products that are in at least two events.", "schema": "addresses : address_id (number) , address_details (text) | locations : location_id (number) , other_details (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | parties : party_id (number) , party_details (text) | assets : asset_id (number) , other_details (text) | channels : channel_id (number) , other_details (text) | finances : finance_id (number) , other_details (text) | events : event_id (number) , address_id (number) , channel_id (number) , event_type_code (text) , finance_id (number) , location_id (number) | products_in_events : product_in_event_id (number) , event_id (number) , product_id (number) | parties_in_events : party_id (number) , event_id (number) , role_code (text) | agreements : document_id (number) , event_id (number) | assets_in_events : asset_id (number) , event_id (number)", "summarized-schema": "products : product_name (text) , product_id (number) | products_in_events : product_id (number) , product_in_event_id (number)", "shrink-score": 0.875}
{"db_id": "solvency_ii", "question": "Show the names of products that are in at least two events in ascending alphabetical order of product name.", "schema": "addresses : address_id (number) , address_details (text) | locations : location_id (number) , other_details (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | parties : party_id (number) , party_details (text) | assets : asset_id (number) , other_details (text) | channels : channel_id (number) , other_details (text) | finances : finance_id (number) , other_details (text) | events : event_id (number) , address_id (number) , channel_id (number) , event_type_code (text) , finance_id (number) , location_id (number) | products_in_events : product_in_event_id (number) , event_id (number) , product_id (number) | parties_in_events : party_id (number) , event_id (number) , role_code (text) | agreements : document_id (number) , event_id (number) | assets_in_events : asset_id (number) , event_id (number)", "summarized-schema": "products : product_name (text) , product_id (number) | products_in_events : product_id (number) , product_in_event_id (number)", "shrink-score": 0.875}
{"db_id": "solvency_ii", "question": "List the names of products that are not in any event.", "schema": "addresses : address_id (number) , address_details (text) | locations : location_id (number) , other_details (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | parties : party_id (number) , party_details (text) | assets : asset_id (number) , other_details (text) | channels : channel_id (number) , other_details (text) | finances : finance_id (number) , other_details (text) | events : event_id (number) , address_id (number) , channel_id (number) , event_type_code (text) , finance_id (number) , location_id (number) | products_in_events : product_in_event_id (number) , event_id (number) , product_id (number) | parties_in_events : party_id (number) , event_id (number) , role_code (text) | agreements : document_id (number) , event_id (number) | assets_in_events : asset_id (number) , event_id (number)", "summarized-schema": "products : product_name (text) , product_id (number) | products_in_events : product_id (number)", "shrink-score": 0.90625}
{"db_id": "entertainment_awards", "question": "How many artworks are there?", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "artwork : artwork_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "entertainment_awards", "question": "List the name of artworks in ascending alphabetical order.", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "artwork : name (text)", "shrink-score": 0.9166666666666666}
{"db_id": "entertainment_awards", "question": "List the name of artworks whose type is not \"Program Talent Show\".", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "artwork : name (text) , type (text)", "shrink-score": 0.8333333333333334}
{"db_id": "entertainment_awards", "question": "What are the names and locations of festivals?", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "festival_detail : festival_name (text) , location (text)", "shrink-score": 0.8333333333333334}
{"db_id": "entertainment_awards", "question": "What are the names of the chairs of festivals, sorted in ascending order of the year held?", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "festival_detail : chair_name (text) , year (number)", "shrink-score": 0.8333333333333334}
{"db_id": "entertainment_awards", "question": "What is the location of the festival with the largest number of audience?", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "festival_detail : location (text) , num_of_audience (number)", "shrink-score": 0.8333333333333334}
{"db_id": "entertainment_awards", "question": "What are the names of festivals held in year 2007?", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "festival_detail : festival_name (text) , year (number)", "shrink-score": 0.8333333333333334}
{"db_id": "entertainment_awards", "question": "What is the average number of audience for festivals?", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "festival_detail : num_of_audience (number)", "shrink-score": 0.9166666666666666}
{"db_id": "entertainment_awards", "question": "Show the names of the three most recent festivals.", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "festival_detail : festival_name (text) , year (number)", "shrink-score": 0.8333333333333334}
{"db_id": "entertainment_awards", "question": "For each nomination, show the name of the artwork and name of the festival where it is nominated.", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "artwork : name (text) , artwork_id (number) | festival_detail : festival_name (text) , festival_id (number) | nomination : artwork_id (number) , festival_id (number)", "shrink-score": 0.5}
{"db_id": "entertainment_awards", "question": "Show distinct types of artworks that are nominated in festivals in 2007.", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "artwork : type (text) , artwork_id (number) | nomination : artwork_id (number) , festival_id (number) | festival_detail : festival_id (number) , year (number)", "shrink-score": 0.5}
{"db_id": "entertainment_awards", "question": "Show the names of artworks in ascending order of the year they are nominated in.", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "artwork : name (text) , artwork_id (number) | nomination : artwork_id (number) , festival_id (number) | festival_detail : festival_id (number) , year (number)", "shrink-score": 0.5}
{"db_id": "entertainment_awards", "question": "Show the names of festivals that have nominated artworks of type \"Program Talent Show\".", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "festival_detail : festival_name (text) , festival_id (number) | artwork : artwork_id (number) , type (text) | nomination : artwork_id (number) , festival_id (number)", "shrink-score": 0.5}
{"db_id": "entertainment_awards", "question": "Show the ids and names of festivals that have at least two nominations for artworks.", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "festival_detail : festival_id (number) , festival_name (text) | nomination : festival_id (number) , artwork_id (number) | artwork : artwork_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "entertainment_awards", "question": "Show the id, name of each festival and the number of artworks it has nominated.", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "festival_detail : festival_id (number) , festival_name (text) | nomination : festival_id (number) , artwork_id (number) | artwork : artwork_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "entertainment_awards", "question": "Please show different types of artworks with the corresponding number of artworks of each type.", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "artwork : type (text) , artwork_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "entertainment_awards", "question": "List the most common type of artworks.", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "artwork : type (text) , artwork_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "entertainment_awards", "question": "List the year in which there are more than one festivals.", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "festival_detail : year (number) , festival_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "entertainment_awards", "question": "List the name of artworks that are not nominated.", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "artwork : name (text) , artwork_id (number) | nomination : artwork_id (number)", "shrink-score": 0.75}
{"db_id": "entertainment_awards", "question": "Show the number of audience in year 2008 or 2010.", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "festival_detail : num_of_audience (number) , year (number)", "shrink-score": 0.8333333333333334}
{"db_id": "entertainment_awards", "question": "What are the total number of the audiences who visited any of the festivals?", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "festival_detail : num_of_audience (number)", "shrink-score": 0.9166666666666666}
{"db_id": "entertainment_awards", "question": "In which year are there festivals both inside the 'United States' and outside the 'United States'?", "schema": "festival_detail : festival_id (number) , festival_name (text) , chair_name (text) , location (text) , year (number) , num_of_audience (number) | artwork : artwork_id (number) , type (text) , name (text) | nomination : artwork_id (number) , festival_id (number) , result (text)", "summarized-schema": "festival_detail : year (number) , location (text)", "shrink-score": 0.8333333333333334}
{"db_id": "customers_campaigns_ecommerce", "question": "How many premises are there?", "schema": "premises : premise_id (number) , premises_type (text) , premise_details (text) | products : product_id (number) , product_category (text) , product_name (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , customer_address (text) , customer_login (text) , customer_password (text) | mailshot_campaigns : mailshot_id (number) , product_category (text) , mailshot_name (text) , mailshot_start_date (time) , mailshot_end_date (time) | customer_addresses : customer_id (number) , premise_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , shipping_method_code (text) , order_placed_datetime (time) , order_delivered_datetime (time) , order_shipping_charges (text) | mailshot_customers : mailshot_id (number) , customer_id (number) , outcome_code (text) , mailshot_customer_date (time) | order_items : item_id (number) , order_item_status_code (text) , order_id (number) , product_id (number) , item_status_code (text) , item_delivered_datetime (time) , item_order_quantity (text)", "summarized-schema": "premises : premise_id (number)", "shrink-score": 0.9761904761904762}
{"db_id": "customers_campaigns_ecommerce", "question": "What are all the distinct premise types?", "schema": "premises : premise_id (number) , premises_type (text) , premise_details (text) | products : product_id (number) , product_category (text) , product_name (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , customer_address (text) , customer_login (text) , customer_password (text) | mailshot_campaigns : mailshot_id (number) , product_category (text) , mailshot_name (text) , mailshot_start_date (time) , mailshot_end_date (time) | customer_addresses : customer_id (number) , premise_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , shipping_method_code (text) , order_placed_datetime (time) , order_delivered_datetime (time) , order_shipping_charges (text) | mailshot_customers : mailshot_id (number) , customer_id (number) , outcome_code (text) , mailshot_customer_date (time) | order_items : item_id (number) , order_item_status_code (text) , order_id (number) , product_id (number) , item_status_code (text) , item_delivered_datetime (time) , item_order_quantity (text)", "summarized-schema": "premises : premises_type (text)", "shrink-score": 0.9761904761904762}
{"db_id": "customers_campaigns_ecommerce", "question": "Find the types and details for all premises and order by the premise type.", "schema": "premises : premise_id (number) , premises_type (text) , premise_details (text) | products : product_id (number) , product_category (text) , product_name (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , customer_address (text) , customer_login (text) , customer_password (text) | mailshot_campaigns : mailshot_id (number) , product_category (text) , mailshot_name (text) , mailshot_start_date (time) , mailshot_end_date (time) | customer_addresses : customer_id (number) , premise_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , shipping_method_code (text) , order_placed_datetime (time) , order_delivered_datetime (time) , order_shipping_charges (text) | mailshot_customers : mailshot_id (number) , customer_id (number) , outcome_code (text) , mailshot_customer_date (time) | order_items : item_id (number) , order_item_status_code (text) , order_id (number) , product_id (number) , item_status_code (text) , item_delivered_datetime (time) , item_order_quantity (text)", "summarized-schema": "premises : premises_type (text) , premise_details (text)", "shrink-score": 0.9523809523809523}
{"db_id": "customers_campaigns_ecommerce", "question": "Show each premise type and the number of premises in that type.", "schema": "premises : premise_id (number) , premises_type (text) , premise_details (text) | products : product_id (number) , product_category (text) , product_name (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , customer_address (text) , customer_login (text) , customer_password (text) | mailshot_campaigns : mailshot_id (number) , product_category (text) , mailshot_name (text) , mailshot_start_date (time) , mailshot_end_date (time) | customer_addresses : customer_id (number) , premise_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , shipping_method_code (text) , order_placed_datetime (time) , order_delivered_datetime (time) , order_shipping_charges (text) | mailshot_customers : mailshot_id (number) , customer_id (number) , outcome_code (text) , mailshot_customer_date (time) | order_items : item_id (number) , order_item_status_code (text) , order_id (number) , product_id (number) , item_status_code (text) , item_delivered_datetime (time) , item_order_quantity (text)", "summarized-schema": "premises : premises_type (text) , premise_id (number)", "shrink-score": 0.9523809523809523}
{"db_id": "customers_campaigns_ecommerce", "question": "Show all distinct product categories along with the number of mailshots in each category.", "schema": "premises : premise_id (number) , premises_type (text) , premise_details (text) | products : product_id (number) , product_category (text) , product_name (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , customer_address (text) , customer_login (text) , customer_password (text) | mailshot_campaigns : mailshot_id (number) , product_category (text) , mailshot_name (text) , mailshot_start_date (time) , mailshot_end_date (time) | customer_addresses : customer_id (number) , premise_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , shipping_method_code (text) , order_placed_datetime (time) , order_delivered_datetime (time) , order_shipping_charges (text) | mailshot_customers : mailshot_id (number) , customer_id (number) , outcome_code (text) , mailshot_customer_date (time) | order_items : item_id (number) , order_item_status_code (text) , order_id (number) , product_id (number) , item_status_code (text) , item_delivered_datetime (time) , item_order_quantity (text)", "summarized-schema": "mailshot_campaigns : product_category (text) , mailshot_id (number)", "shrink-score": 0.9523809523809523}
{"db_id": "customers_campaigns_ecommerce", "question": "Show the name and phone of the customer without any mailshot.", "schema": "premises : premise_id (number) , premises_type (text) , premise_details (text) | products : product_id (number) , product_category (text) , product_name (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , customer_address (text) , customer_login (text) , customer_password (text) | mailshot_campaigns : mailshot_id (number) , product_category (text) , mailshot_name (text) , mailshot_start_date (time) , mailshot_end_date (time) | customer_addresses : customer_id (number) , premise_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , shipping_method_code (text) , order_placed_datetime (time) , order_delivered_datetime (time) , order_shipping_charges (text) | mailshot_customers : mailshot_id (number) , customer_id (number) , outcome_code (text) , mailshot_customer_date (time) | order_items : item_id (number) , order_item_status_code (text) , order_id (number) , product_id (number) , item_status_code (text) , item_delivered_datetime (time) , item_order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_phone (text) , customer_id (number) | mailshot_customers : customer_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "customers_campaigns_ecommerce", "question": "Show the name and phone for customers with a mailshot with outcome code 'No Response'.", "schema": "premises : premise_id (number) , premises_type (text) , premise_details (text) | products : product_id (number) , product_category (text) , product_name (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , customer_address (text) , customer_login (text) , customer_password (text) | mailshot_campaigns : mailshot_id (number) , product_category (text) , mailshot_name (text) , mailshot_start_date (time) , mailshot_end_date (time) | customer_addresses : customer_id (number) , premise_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , shipping_method_code (text) , order_placed_datetime (time) , order_delivered_datetime (time) , order_shipping_charges (text) | mailshot_customers : mailshot_id (number) , customer_id (number) , outcome_code (text) , mailshot_customer_date (time) | order_items : item_id (number) , order_item_status_code (text) , order_id (number) , product_id (number) , item_status_code (text) , item_delivered_datetime (time) , item_order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_phone (text) , customer_id (number) | mailshot_customers : customer_id (number) , outcome_code (text)", "shrink-score": 0.8809523809523809}
{"db_id": "customers_campaigns_ecommerce", "question": "Show the outcome code of mailshots along with the number of mailshots in each outcome code.", "schema": "premises : premise_id (number) , premises_type (text) , premise_details (text) | products : product_id (number) , product_category (text) , product_name (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , customer_address (text) , customer_login (text) , customer_password (text) | mailshot_campaigns : mailshot_id (number) , product_category (text) , mailshot_name (text) , mailshot_start_date (time) , mailshot_end_date (time) | customer_addresses : customer_id (number) , premise_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , shipping_method_code (text) , order_placed_datetime (time) , order_delivered_datetime (time) , order_shipping_charges (text) | mailshot_customers : mailshot_id (number) , customer_id (number) , outcome_code (text) , mailshot_customer_date (time) | order_items : item_id (number) , order_item_status_code (text) , order_id (number) , product_id (number) , item_status_code (text) , item_delivered_datetime (time) , item_order_quantity (text)", "summarized-schema": "mailshot_customers : outcome_code (text)", "shrink-score": 0.9761904761904762}
{"db_id": "customers_campaigns_ecommerce", "question": "Show the names of customers who have at least 2 mailshots with outcome code 'Order'.", "schema": "premises : premise_id (number) , premises_type (text) , premise_details (text) | products : product_id (number) , product_category (text) , product_name (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , customer_address (text) , customer_login (text) , customer_password (text) | mailshot_campaigns : mailshot_id (number) , product_category (text) , mailshot_name (text) , mailshot_start_date (time) , mailshot_end_date (time) | customer_addresses : customer_id (number) , premise_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , shipping_method_code (text) , order_placed_datetime (time) , order_delivered_datetime (time) , order_shipping_charges (text) | mailshot_customers : mailshot_id (number) , customer_id (number) , outcome_code (text) , mailshot_customer_date (time) | order_items : item_id (number) , order_item_status_code (text) , order_id (number) , product_id (number) , item_status_code (text) , item_delivered_datetime (time) , item_order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | mailshot_customers : customer_id (number) , outcome_code (text)", "shrink-score": 0.9047619047619048}
{"db_id": "customers_campaigns_ecommerce", "question": "Show the names of customers who have the most mailshots.", "schema": "premises : premise_id (number) , premises_type (text) , premise_details (text) | products : product_id (number) , product_category (text) , product_name (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , customer_address (text) , customer_login (text) , customer_password (text) | mailshot_campaigns : mailshot_id (number) , product_category (text) , mailshot_name (text) , mailshot_start_date (time) , mailshot_end_date (time) | customer_addresses : customer_id (number) , premise_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , shipping_method_code (text) , order_placed_datetime (time) , order_delivered_datetime (time) , order_shipping_charges (text) | mailshot_customers : mailshot_id (number) , customer_id (number) , outcome_code (text) , mailshot_customer_date (time) | order_items : item_id (number) , order_item_status_code (text) , order_id (number) , product_id (number) , item_status_code (text) , item_delivered_datetime (time) , item_order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | mailshot_customers : customer_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "customers_campaigns_ecommerce", "question": "What are the name and payment method of customers who have both mailshots in 'Order' outcome and mailshots in 'No Response' outcome.", "schema": "premises : premise_id (number) , premises_type (text) , premise_details (text) | products : product_id (number) , product_category (text) , product_name (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , customer_address (text) , customer_login (text) , customer_password (text) | mailshot_campaigns : mailshot_id (number) , product_category (text) , mailshot_name (text) , mailshot_start_date (time) , mailshot_end_date (time) | customer_addresses : customer_id (number) , premise_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , shipping_method_code (text) , order_placed_datetime (time) , order_delivered_datetime (time) , order_shipping_charges (text) | mailshot_customers : mailshot_id (number) , customer_id (number) , outcome_code (text) , mailshot_customer_date (time) | order_items : item_id (number) , order_item_status_code (text) , order_id (number) , product_id (number) , item_status_code (text) , item_delivered_datetime (time) , item_order_quantity (text)", "summarized-schema": "customers : customer_name (text) , payment_method (text) , customer_id (number) | mailshot_customers : customer_id (number) , outcome_code (text)", "shrink-score": 0.8809523809523809}
{"db_id": "customers_campaigns_ecommerce", "question": "Show the premise type and address type code for all customer addresses.", "schema": "premises : premise_id (number) , premises_type (text) , premise_details (text) | products : product_id (number) , product_category (text) , product_name (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , customer_address (text) , customer_login (text) , customer_password (text) | mailshot_campaigns : mailshot_id (number) , product_category (text) , mailshot_name (text) , mailshot_start_date (time) , mailshot_end_date (time) | customer_addresses : customer_id (number) , premise_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , shipping_method_code (text) , order_placed_datetime (time) , order_delivered_datetime (time) , order_shipping_charges (text) | mailshot_customers : mailshot_id (number) , customer_id (number) , outcome_code (text) , mailshot_customer_date (time) | order_items : item_id (number) , order_item_status_code (text) , order_id (number) , product_id (number) , item_status_code (text) , item_delivered_datetime (time) , item_order_quantity (text)", "summarized-schema": "premises : premises_type (text) , premise_id (number) | customer_addresses : address_type_code (text) , premise_id (number)", "shrink-score": 0.9047619047619048}
{"db_id": "customers_campaigns_ecommerce", "question": "What are the distinct address type codes for all customer addresses?", "schema": "premises : premise_id (number) , premises_type (text) , premise_details (text) | products : product_id (number) , product_category (text) , product_name (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , customer_address (text) , customer_login (text) , customer_password (text) | mailshot_campaigns : mailshot_id (number) , product_category (text) , mailshot_name (text) , mailshot_start_date (time) , mailshot_end_date (time) | customer_addresses : customer_id (number) , premise_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , shipping_method_code (text) , order_placed_datetime (time) , order_delivered_datetime (time) , order_shipping_charges (text) | mailshot_customers : mailshot_id (number) , customer_id (number) , outcome_code (text) , mailshot_customer_date (time) | order_items : item_id (number) , order_item_status_code (text) , order_id (number) , product_id (number) , item_status_code (text) , item_delivered_datetime (time) , item_order_quantity (text)", "summarized-schema": "customer_addresses : address_type_code (text)", "shrink-score": 0.9761904761904762}
{"db_id": "customers_campaigns_ecommerce", "question": "Show the shipping charge and customer id for customer orders with order status Cancelled or Paid.", "schema": "premises : premise_id (number) , premises_type (text) , premise_details (text) | products : product_id (number) , product_category (text) , product_name (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , customer_address (text) , customer_login (text) , customer_password (text) | mailshot_campaigns : mailshot_id (number) , product_category (text) , mailshot_name (text) , mailshot_start_date (time) , mailshot_end_date (time) | customer_addresses : customer_id (number) , premise_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , shipping_method_code (text) , order_placed_datetime (time) , order_delivered_datetime (time) , order_shipping_charges (text) | mailshot_customers : mailshot_id (number) , customer_id (number) , outcome_code (text) , mailshot_customer_date (time) | order_items : item_id (number) , order_item_status_code (text) , order_id (number) , product_id (number) , item_status_code (text) , item_delivered_datetime (time) , item_order_quantity (text)", "summarized-schema": "customer_orders : order_shipping_charges (text) , customer_id (number) , order_status_code (text)", "shrink-score": 0.9285714285714286}
{"db_id": "customers_campaigns_ecommerce", "question": "Show the names of customers having an order with shipping method FedEx and order status Paid.", "schema": "premises : premise_id (number) , premises_type (text) , premise_details (text) | products : product_id (number) , product_category (text) , product_name (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , customer_phone (text) , customer_email (text) , customer_address (text) , customer_login (text) , customer_password (text) | mailshot_campaigns : mailshot_id (number) , product_category (text) , mailshot_name (text) , mailshot_start_date (time) , mailshot_end_date (time) | customer_addresses : customer_id (number) , premise_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , shipping_method_code (text) , order_placed_datetime (time) , order_delivered_datetime (time) , order_shipping_charges (text) | mailshot_customers : mailshot_id (number) , customer_id (number) , outcome_code (text) , mailshot_customer_date (time) | order_items : item_id (number) , order_item_status_code (text) , order_id (number) , product_id (number) , item_status_code (text) , item_delivered_datetime (time) , item_order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , shipping_method_code (text) , order_status_code (text)", "shrink-score": 0.8809523809523809}
{"db_id": "college_3", "question": "How many courses are there in total?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : cid (text)", "shrink-score": 0.9743589743589743}
{"db_id": "college_3", "question": "Count the number of courses.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : cid (text)", "shrink-score": 0.9743589743589743}
{"db_id": "college_3", "question": "How many courses have more than 2 credits?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : credits (number) , cid (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "Count the number of courses with more than 2 credits.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : credits (number) , cid (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "List all names of courses with 1 credit?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : cname (text) , credits (number)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "What are the names of courses with 1 credit?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : cname (text) , credits (number)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "Which courses are taught on days MTW?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : cname (text) , days (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "What are the course names for courses taught on MTW?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : cname (text) , days (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "What is the number of departments in Division \"AS\"?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : division (text) , dno (number)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "How many departments are in the division AS?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : division (text) , dno (number)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "What are the phones of departments in Room 268?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : dphone (number) , room (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "Give the phones for departments in room 268.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : dphone (number) , room (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "Find the number of students that have at least one grade \"B\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "enrolled_in : stuid (number) , grade (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "How many students have had at least one \"B\" grade?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "enrolled_in : stuid (number) , grade (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "Find the max and min grade point for all letter grade.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "gradeconversion : gradepoint (number)", "shrink-score": 0.9743589743589743}
{"db_id": "college_3", "question": "What are the maximum and minumum grade points?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "gradeconversion : gradepoint (number)", "shrink-score": 0.9743589743589743}
{"db_id": "college_3", "question": "Find the first names of students whose first names contain letter \"a\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "student : fname (text)", "shrink-score": 0.9743589743589743}
{"db_id": "college_3", "question": "What are the first names for students who have an \"a\" in their first name?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "student : fname (text)", "shrink-score": 0.9743589743589743}
{"db_id": "college_3", "question": "Find the first names and last names of male (sex is M) faculties who live in building NEB.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : fname (text) , lname (text) , sex (text) , building (text)", "shrink-score": 0.8974358974358975}
{"db_id": "college_3", "question": "What are the full names of faculties with sex M and who live in building NEB?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : fname (text) , lname (text) , sex (text) , building (text)", "shrink-score": 0.8974358974358975}
{"db_id": "college_3", "question": "Find the rooms of faculties with rank professor who live in building NEB.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : room (text) , rank (text) , building (text)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "What are the rooms for members of the faculty who are professors and who live in building NEB?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : room (text) , rank (text) , building (text)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "Find the department name that is in Building \"Mergenthaler\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : dname (text) , building (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "What is the name of the department in the Building Mergenthaler?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : dname (text) , building (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "List all information about courses sorted by credits in the ascending order.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : credits (number) , cid (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "What is all the information about courses, ordered by credits ascending?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : credits (number) , cid (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "List the course name of courses sorted by credits.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : cname (text) , credits (number)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "What are the course names, ordered by credits?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : cname (text) , credits (number)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "Find the first name of students in the descending order of age.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "student : fname (text) , age (number)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "What are the first names of students, ordered by age from greatest to least?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "student : fname (text) , age (number)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "Find the last name of female (sex is F) students in the descending order of age.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "student : lname (text) , sex (text) , age (number)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "What are the last names of female students, ordered by age descending?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "student : lname (text) , sex (text) , age (number)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "Find the last names of faculties in building Barton in alphabetic order.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : lname (text) , building (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "What are the last names of faculty in building Barton, sorted by last name?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : lname (text) , building (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "Find the first names of faculties of rank Professor in alphabetic order.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : fname (text) , rank (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "What are the first names for all faculty professors, ordered by first name?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : fname (text) , rank (text)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "Find the name of the department that has the biggest number of students minored in?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : dname (text) , dno (number) | minor_in : dno (number)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "What is the name of the department with the most students minoring in it?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : dname (text) , dno (number) | minor_in : dno (number)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "Find the name of the department that has no students minored in?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : dname (text) , dno (number) | minor_in : dno (number)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "What is the name of the department htat has no students minoring in it?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : dname (text) , dno (number) | minor_in : dno (number)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "Find the name of the department that has the fewest members.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : dname (text) , dno (number) | member_of : dno (number)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "What is the name of the department with the fewest members?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : dname (text) , dno (number) | member_of : dno (number)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "Find the rank of the faculty that the fewest faculties belong to.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : rank (text) , facid (number)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "What is the least common faculty rank?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : rank (text) , facid (number)", "shrink-score": 0.9487179487179487}
{"db_id": "college_3", "question": "What are the first and last names of the instructors who teach the top 3 number of courses?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : fname (text) , lname (text) , facid (number) | course : instructor (number) , cid (text)", "shrink-score": 0.8717948717948718}
{"db_id": "college_3", "question": "What are the full names of the 3 instructors who teach the most courses?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : fname (text) , lname (text) , facid (number) | course : instructor (number) , cid (text)", "shrink-score": 0.8717948717948718}
{"db_id": "college_3", "question": "Which building does the instructor who teaches the most number of courses live in?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : building (text) , facid (number) | course : instructor (number) , cid (text)", "shrink-score": 0.8974358974358975}
{"db_id": "college_3", "question": "Give the building that the instructor who teaches the greatest number of courses lives in.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : building (text) , facid (number) | course : instructor (number) , cid (text)", "shrink-score": 0.8974358974358975}
{"db_id": "college_3", "question": "What are the name of courses that have at least five enrollments?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : cname (text) , cid (text) | enrolled_in : cid (text)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "Give the names of the courses with at least five enrollments.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : cname (text) , cid (text) | enrolled_in : cid (text)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "Find the first name and last name of the instructor of course that has course name", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : fname (text) , lname (text) , facid (number) | course : instructor (number) , cname (text)", "shrink-score": 0.8717948717948718}
{"db_id": "college_3", "question": "What is the full name of the instructor who has a course named COMPUTER LITERACY?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : fname (text) , lname (text) , facid (number) | course : instructor (number) , cname (text)", "shrink-score": 0.8717948717948718}
{"db_id": "college_3", "question": "Find the department name and room of the course INTRODUCTION TO COMPUTER SCIENCE.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : dname (text) , room (text) , dno (number) | course : dno (number) , cname (text)", "shrink-score": 0.8717948717948718}
{"db_id": "college_3", "question": "What are the department name and room for the course INTRODUCTION TO COMPUTER SCIENCE?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : dname (text) , room (text) , dno (number) | course : dno (number) , cname (text)", "shrink-score": 0.8717948717948718}
{"db_id": "college_3", "question": "Find the student first and last names and grade points of all enrollments.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | gradeconversion : gradepoint (number) , lettergrade (text) | enrolled_in : grade (text) , stuid (number)", "shrink-score": 0.8205128205128205}
{"db_id": "college_3", "question": "What are the full names and gradepoints for all enrollments?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | gradeconversion : gradepoint (number) , lettergrade (text) | enrolled_in : grade (text) , stuid (number)", "shrink-score": 0.8205128205128205}
{"db_id": "college_3", "question": "Find the distinct student first names of all students that have grade point at least 3.8 in one course.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "student : fname (text) , stuid (number) | enrolled_in : grade (text) , stuid (number) | gradeconversion : lettergrade (text) , gradepoint (number)", "shrink-score": 0.8461538461538461}
{"db_id": "college_3", "question": "What are the distinct first names for students with a grade point of 3.8 or above in at least one course?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "student : fname (text) , stuid (number) | enrolled_in : grade (text) , stuid (number) | gradeconversion : lettergrade (text) , gradepoint (number)", "shrink-score": 0.8461538461538461}
{"db_id": "college_3", "question": "Find the full names of faculties who are members of department with department number 520.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : fname (text) , lname (text) , facid (number) | member_of : facid (number) , dno (number)", "shrink-score": 0.8717948717948718}
{"db_id": "college_3", "question": "What are the full names of faculty members who are a part of department 520?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : fname (text) , lname (text) , facid (number) | member_of : facid (number) , dno (number)", "shrink-score": 0.8717948717948718}
{"db_id": "college_3", "question": "What are the first names and last names of the students that minor in the department with DNO 140.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | minor_in : stuid (number) , dno (number)", "shrink-score": 0.8717948717948718}
{"db_id": "college_3", "question": "What are the full names of students minoring in department 140?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | minor_in : stuid (number) , dno (number)", "shrink-score": 0.8717948717948718}
{"db_id": "college_3", "question": "Find the last names of faculties who are members of computer science department.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : lname (text) , facid (number) | department : dno (number) , dname (text) | member_of : dno (number) , facid (number)", "shrink-score": 0.8461538461538461}
{"db_id": "college_3", "question": "What are the last names of faculty who are part of the computer science department?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "faculty : lname (text) , facid (number) | department : dno (number) , dname (text) | member_of : dno (number) , facid (number)", "shrink-score": 0.8461538461538461}
{"db_id": "college_3", "question": "Find the average grade point of student whose last name is Smith.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "gradeconversion : gradepoint (number) , lettergrade (text) | enrolled_in : grade (text) , stuid (number) | student : stuid (number) , lname (text)", "shrink-score": 0.8461538461538461}
{"db_id": "college_3", "question": "What is the average gradepoint for students with the last name Smith?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "gradeconversion : gradepoint (number) , lettergrade (text) | enrolled_in : grade (text) , stuid (number) | student : stuid (number) , lname (text)", "shrink-score": 0.8461538461538461}
{"db_id": "college_3", "question": "What is the maximum and minimum grade point of students who live in NYC?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "gradeconversion : gradepoint (number) , lettergrade (text) | enrolled_in : grade (text) , stuid (number) | student : stuid (number) , city_code (text)", "shrink-score": 0.8461538461538461}
{"db_id": "college_3", "question": "Give the maximum and minimum gradepoints for students living in NYC?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "gradeconversion : gradepoint (number) , lettergrade (text) | enrolled_in : grade (text) , stuid (number) | student : stuid (number) , city_code (text)", "shrink-score": 0.8461538461538461}
{"db_id": "college_3", "question": "Find the names of courses that have either 3 credits or 1 credit but 4 hours.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : cname (text) , credits (number) , hours (text)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "What are the names of courses that give either 3 credits, or 1 credit and 4 hours?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "course : cname (text) , credits (number) , hours (text)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "Find the names of departments that are either in division AS or in division EN and in Building NEB.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : dname (text) , division (text) , building (text)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "What are the names of departments either in division AS, or in division EN and in building NEB?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "department : dname (text) , division (text) , building (text)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "Find the first name of students not enrolled in any course.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "student : fname (text) , stuid (number) | enrolled_in : stuid (number)", "shrink-score": 0.9230769230769231}
{"db_id": "college_3", "question": "What are the first names of all students that are not enrolled in courses?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text) | department : dno (number) , division (text) , dname (text) , room (text) , building (text) , dphone (number) | member_of : facid (number) , dno (number) , appt_type (text) | course : cid (text) , cname (text) , credits (number) , instructor (number) , days (text) , hours (text) , dno (number) | minor_in : stuid (number) , dno (number) | enrolled_in : stuid (number) , cid (text) , grade (text) | gradeconversion : lettergrade (text) , gradepoint (number)", "summarized-schema": "student : fname (text) , stuid (number) | enrolled_in : stuid (number)", "shrink-score": 0.9230769230769231}
{"db_id": "department_store", "question": "What are the ids of the top three products that were purchased in the largest amount?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "product_suppliers : product_id (number) , total_amount_purchased (text)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "Give the ids of the three products purchased in the largest amounts.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "product_suppliers : product_id (number) , total_amount_purchased (text)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "What are the product id and product type of the cheapest product?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_id (number) , product_type_code (text) , product_price (number)", "shrink-score": 0.9464285714285714}
{"db_id": "department_store", "question": "Give the id and product type of the product with the lowest price.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_id (number) , product_type_code (text) , product_price (number)", "shrink-score": 0.9464285714285714}
{"db_id": "department_store", "question": "Find the number of different product types.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_type_code (text)", "shrink-score": 0.9821428571428571}
{"db_id": "department_store", "question": "Count the number of distinct product types.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_type_code (text)", "shrink-score": 0.9821428571428571}
{"db_id": "department_store", "question": "Return the address of customer 10.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "addresses : address_details (text) , address_id (number) | customer_addresses : address_id (number) , customer_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "What is the address for the customer with id 10?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "addresses : address_details (text) , address_id (number) | customer_addresses : address_id (number) , customer_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "What are the staff ids and genders of all staffs whose job title is Department Manager?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff : staff_id (number) , staff_gender (text) | staff_department_assignments : staff_id (number) , job_title_code (text)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "Return the staff ids and genders for any staff with the title Department Manager.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff : staff_id (number) , staff_gender (text) | staff_department_assignments : staff_id (number) , job_title_code (text)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "For each payment method, return how many customers use it.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : payment_method_code (text) , customer_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "How many customers use each payment method?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : payment_method_code (text) , customer_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "What is the id of the product that was ordered the most often?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "order_items : product_id (number) , order_item_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "Give the product id for the product that was ordered most frequently.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "order_items : product_id (number) , order_item_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "What are the name, phone number and email address of the customer who made the largest number of orders?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_name (text) , customer_phone (text) , customer_email (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "department_store", "question": "Return the name, phone number and email address for the customer with the most orders.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_name (text) , customer_phone (text) , customer_email (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "department_store", "question": "What is the average price for each type of product?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_type_code (text) , product_price (number)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "Return the average price for each product type.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_type_code (text) , product_price (number)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "How many department stores does the store chain South have?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | department_stores : dept_store_chain_id (number) , dept_store_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "Count the number of stores the chain South has.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | department_stores : dept_store_chain_id (number) , dept_store_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "What is the name and job title of the staff who was assigned the latest?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff : staff_name (text) , staff_id (number) | staff_department_assignments : job_title_code (text) , staff_id (number) , date_assigned_to (time)", "shrink-score": 0.9107142857142857}
{"db_id": "department_store", "question": "Return the name and job title of the staff with the latest date assigned.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff : staff_name (text) , staff_id (number) | staff_department_assignments : job_title_code (text) , staff_id (number) , date_assigned_to (time)", "shrink-score": 0.9107142857142857}
{"db_id": "department_store", "question": "Give me the product type, name and price for all the products supplied by supplier id 3.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_type_code (text) , product_name (text) , product_price (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "department_store", "question": "Return the product type, name, and price for products supplied by supplier 3.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_type_code (text) , product_name (text) , product_price (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "department_store", "question": "Return the distinct name of customers whose order status is Pending, in the order of customer id.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_status_code (text)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "What are the distinct names of customers with an order status of Pending, sorted by customer id?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_status_code (text)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "Find the name and address of the customers who have both New and Pending orders.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_name (text) , customer_address (text) , customer_id (number) | customer_orders : customer_id (number) , order_status_code (text)", "shrink-score": 0.9107142857142857}
{"db_id": "department_store", "question": "What are the names and addressed of customers who have both New and Pending orders?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_name (text) , customer_address (text) , customer_id (number) | customer_orders : customer_id (number) , order_status_code (text)", "shrink-score": 0.9107142857142857}
{"db_id": "department_store", "question": "Return ids of all the products that are supplied by supplier id 2 and are more expensive than the average price of all products.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_id (number) , product_price (number) | product_suppliers : product_id (number) , supplier_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "What are the ids of products from the supplier with id 2, which are more expensive than the average price across all products?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_id (number) , product_price (number) | product_suppliers : product_id (number) , supplier_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "What is the id and name of the department store that has both marketing and managing department?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "department_stores : dept_store_id (number) , store_name (text) | departments : dept_store_id (number) , department_name (text)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "What are the ids and names of department stores with both marketing and managing departments?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "department_stores : dept_store_id (number) , store_name (text) | departments : dept_store_id (number) , department_name (text)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "What are the ids of the two department store chains with the largest number of department stores?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "department_stores : dept_store_chain_id (number) , dept_store_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "Return the ids of the two department store chains with the most department stores.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "department_stores : dept_store_chain_id (number) , dept_store_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "What is the id of the department with the least number of staff?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff_department_assignments : department_id (number) , staff_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "Return the id of the department with the fewest staff assignments.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff_department_assignments : department_id (number) , staff_id (number)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "For each product type, return the maximum and minimum price.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_type_code (text) , product_price (number)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "What are the maximum and minimum product prices for each product type?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_type_code (text) , product_price (number)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "Find the product type whose average price is higher than the average price of all products.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_type_code (text) , product_price (number)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "What is the code of the product type with an average price higher than the average price of all products?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_type_code (text) , product_price (number)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "Find the id and name of the staff who has been assigned for the shortest period.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff : staff_id (number) , staff_name (text) | staff_department_assignments : staff_id (number) , date_assigned_to (time) , date_assigned_from (time)", "shrink-score": 0.9107142857142857}
{"db_id": "department_store", "question": "What is the id and name of the staff who has been assigned for the least amount of time?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff : staff_id (number) , staff_name (text) | staff_department_assignments : staff_id (number) , date_assigned_to (time) , date_assigned_from (time)", "shrink-score": 0.9107142857142857}
{"db_id": "department_store", "question": "Return the names and ids of all products whose price is between 600 and 700.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_name (text) , product_id (number) , product_price (number)", "shrink-score": 0.9464285714285714}
{"db_id": "department_store", "question": "What are the names and ids of products costing between 600 and 700?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_name (text) , product_id (number) , product_price (number)", "shrink-score": 0.9464285714285714}
{"db_id": "department_store", "question": "Find the ids of all distinct customers who made order after some orders that were Cancelled.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customer_orders : customer_id (number) , order_date (time) , order_status_code (text)", "shrink-score": 0.9464285714285714}
{"db_id": "department_store", "question": "What are the distinct ids of customers who made an order after any order that was Cancelled?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customer_orders : customer_id (number) , order_date (time) , order_status_code (text)", "shrink-score": 0.9464285714285714}
{"db_id": "department_store", "question": "What is id of the staff who had a Staff Department Assignment earlier than any Clerical Staff?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff_department_assignments : staff_id (number) , date_assigned_to (time) , job_title_code (text)", "shrink-score": 0.9464285714285714}
{"db_id": "department_store", "question": "Return the id of the staff whose Staff Department Assignment was earlier than that of any Clerical Staff.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff_department_assignments : staff_id (number) , date_assigned_to (time) , job_title_code (text)", "shrink-score": 0.9464285714285714}
{"db_id": "department_store", "question": "What are the names and ids of customers whose address contains TN?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_name (text) , customer_id (number) , customer_address (text)", "shrink-score": 0.9464285714285714}
{"db_id": "department_store", "question": "Return the names and ids of customers who have TN in their address.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_name (text) , customer_id (number) , customer_address (text)", "shrink-score": 0.9464285714285714}
{"db_id": "department_store", "question": "Return the name and gender of the staff who was assigned in 2016.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff : staff_name (text) , staff_gender (text) , staff_id (number) | staff_department_assignments : staff_id (number) , date_assigned_from (time)", "shrink-score": 0.9107142857142857}
{"db_id": "department_store", "question": "What are the names and genders of staff who were assigned in 2016?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff : staff_name (text) , staff_gender (text) , staff_id (number) | staff_department_assignments : staff_id (number) , date_assigned_from (time)", "shrink-score": 0.9107142857142857}
{"db_id": "department_store", "question": "List the name of staff who has been assigned multiple jobs.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff : staff_name (text) , staff_id (number) | staff_department_assignments : staff_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "department_store", "question": "What are the names of staff who have been assigned multiple jobs?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff : staff_name (text) , staff_id (number) | staff_department_assignments : staff_id (number)", "shrink-score": 0.9464285714285714}
{"db_id": "department_store", "question": "List the name and phone number of all suppliers in the alphabetical order of their addresses.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "suppliers : supplier_name (text) , supplier_phone (text) , supplier_id (number) | supplier_addresses : supplier_id (number) , address_id (number) | addresses : address_id (number) , address_details (text)", "shrink-score": 0.875}
{"db_id": "department_store", "question": "What are the names and phone numbers for all suppliers, sorted in alphabetical order of their addressed?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "suppliers : supplier_name (text) , supplier_phone (text) , supplier_id (number) | supplier_addresses : supplier_id (number) , address_id (number) | addresses : address_id (number) , address_details (text)", "shrink-score": 0.875}
{"db_id": "department_store", "question": "What are the phone numbers of all customers and suppliers.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_phone (text) | suppliers : supplier_phone (text)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "Return the phone numbers for all customers and suppliers.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_phone (text) | suppliers : supplier_phone (text)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "Return the ids of all products that were ordered more than three times or supplied more than 80000.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "order_items : product_id (number) , order_item_id (number) | product_suppliers : product_id (number) , total_amount_purchased (text)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "What are the ids of all products that were either ordered more than 3 times or have a cumulative amount purchased of above 80000?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "order_items : product_id (number) , order_item_id (number) | product_suppliers : product_id (number) , total_amount_purchased (text)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "What are id and name of the products whose price is lower than 600 or higher than 900?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_id (number) , product_name (text) , product_price (number)", "shrink-score": 0.9464285714285714}
{"db_id": "department_store", "question": "Give the ids and names of products with price lower than 600 or higher than 900.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_id (number) , product_name (text) , product_price (number)", "shrink-score": 0.9464285714285714}
{"db_id": "department_store", "question": "Find the id of suppliers whose average amount purchased for each product is above 50000 or below 30000.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "product_suppliers : supplier_id (number) , total_amount_purchased (text)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "What are the ids of suppliers which have an average amount purchased of above 50000 or below 30000?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "product_suppliers : supplier_id (number) , total_amount_purchased (text)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "What are the average amount purchased and value purchased for the supplier who supplies the most products.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "product_suppliers : total_amount_purchased (text) , total_value_purchased (number) , supplier_id (number) , product_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "Return the average total amount purchased and total value purchased for the supplier who supplies the greatest number of products.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "product_suppliers : total_amount_purchased (text) , total_value_purchased (number) , supplier_id (number) , product_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "What is the largest and smallest customer codes?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_code (text)", "shrink-score": 0.9821428571428571}
{"db_id": "department_store", "question": "Return the maximum and minimum customer codes.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_code (text)", "shrink-score": 0.9821428571428571}
{"db_id": "department_store", "question": "List the names of all the distinct customers who bought a keyboard.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number) | order_items : order_id (number) , product_id (number) | products : product_id (number) , product_name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "department_store", "question": "What are the distinct names of customers who have purchased a keyboard?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number) | order_items : order_id (number) , product_id (number) | products : product_id (number) , product_name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "department_store", "question": "List the names and phone numbers of all the distinct suppliers who supply red jeans.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "suppliers : supplier_name (text) , supplier_phone (text) , supplier_id (number) | product_suppliers : supplier_id (number) , product_id (number) | products : product_id (number) , product_name (text)", "shrink-score": 0.875}
{"db_id": "department_store", "question": "What are the distinct names and phone numbers for suppliers who have red jeans?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "suppliers : supplier_name (text) , supplier_phone (text) , supplier_id (number) | product_suppliers : supplier_id (number) , product_id (number) | products : product_id (number) , product_name (text)", "shrink-score": 0.875}
{"db_id": "department_store", "question": "What are the highest and lowest prices of products, grouped by and alphabetically ordered by product type?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_price (number) , product_type_code (text)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "Give the maximum and minimum product prices for each product type, grouped and ordered by product type.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_price (number) , product_type_code (text)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "List the order id, customer id for orders in Cancelled status, ordered by their order dates.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "What are the order ids and customer ids for orders that have been Cancelled, sorted by their order dates?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "Find the names of products that were bought by at least two distinct customers.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_name (text) , product_id (number) | customer_orders : order_id (number) , customer_id (number) | order_items : order_id (number) , product_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "department_store", "question": "What are the distinct names of products purchased by at least two different customers?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_name (text) , product_id (number) | customer_orders : order_id (number) , customer_id (number) | order_items : order_id (number) , product_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "department_store", "question": "Find the names of customers who have bought by at least three distinct products.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number) | order_items : order_id (number) , product_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "department_store", "question": "What are the distinct names of customers who have purchased at least three different products?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number) | order_items : order_id (number) , product_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "department_store", "question": "Find the name and gender of the staff who has been assigned the job of Sales Person but never Clerical Staff.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff : staff_name (text) , staff_gender (text) , staff_id (number) | staff_department_assignments : staff_id (number) , job_title_code (text)", "shrink-score": 0.9107142857142857}
{"db_id": "department_store", "question": "What are the names and genders of staff who have held the title Sales Person, but never Clerical Staff?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "staff : staff_name (text) , staff_gender (text) , staff_id (number) | staff_department_assignments : staff_id (number) , job_title_code (text)", "shrink-score": 0.9107142857142857}
{"db_id": "department_store", "question": "Find the id and name of customers whose address contains WY state and do not use credit card for payment.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_id (number) , customer_name (text) , customer_address (text) , payment_method_code (text)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "What are the ids and names of customers with addressed that contain WY and who do not use a credit card for payment?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "customers : customer_id (number) , customer_name (text) , customer_address (text) , payment_method_code (text)", "shrink-score": 0.9285714285714286}
{"db_id": "department_store", "question": "Find the average price of all product clothes.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_price (number) , product_type_code (text)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "What is the average price of clothes?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_price (number) , product_type_code (text)", "shrink-score": 0.9642857142857143}
{"db_id": "department_store", "question": "Find the name of the most expensive hardware product.", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_name (text) , product_type_code (text) , product_price (number)", "shrink-score": 0.9464285714285714}
{"db_id": "department_store", "question": "What is the name of the hardware product with the greatest price?", "schema": "addresses : address_id (number) , address_details (text) | staff : staff_id (number) , staff_gender (text) , staff_name (text) | suppliers : supplier_id (number) , supplier_name (text) , supplier_phone (text) | department_store_chain : dept_store_chain_id (number) , dept_store_chain_name (text) | customers : customer_id (number) , payment_method_code (text) , customer_code (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | supplier_addresses : supplier_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_addresses : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_status_code (text) , order_date (time) | department_stores : dept_store_id (number) , dept_store_chain_id (number) , store_name (text) , store_address (text) , store_phone (text) , store_email (text) | departments : department_id (number) , dept_store_id (number) , department_name (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) | product_suppliers : product_id (number) , supplier_id (number) , date_supplied_from (time) , date_supplied_to (time) , total_amount_purchased (text) , total_value_purchased (number) | staff_department_assignments : staff_id (number) , department_id (number) , date_assigned_from (time) , job_title_code (text) , date_assigned_to (time)", "summarized-schema": "products : product_name (text) , product_type_code (text) , product_price (number)", "shrink-score": 0.9464285714285714}
{"db_id": "aircraft", "question": "How many aircrafts are there?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , aircraft_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "aircraft", "question": "What is the number of aircraft?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , aircraft_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "aircraft", "question": "List the description of all aircrafts.", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : description (text) , aircraft (text)", "shrink-score": 0.9285714285714286}
{"db_id": "aircraft", "question": "What are the descriptions for the aircrafts?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : description (text) , aircraft (text)", "shrink-score": 0.9285714285714286}
{"db_id": "aircraft", "question": "What is the average number of international passengers of all airports?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "airport : international_passengers (number)", "shrink-score": 0.9642857142857143}
{"db_id": "aircraft", "question": "What is the average number of international passengers for an airport?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "airport : international_passengers (number)", "shrink-score": 0.9642857142857143}
{"db_id": "aircraft", "question": "What are the number of international and domestic passengers of the airport named London \"Heathrow\"?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "airport : international_passengers (number) , domestic_passengers (number) , airport_name (text)", "shrink-score": 0.8928571428571429}
{"db_id": "aircraft", "question": "How many international and domestic passengers are there in the airport London Heathrow?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "airport : international_passengers (number) , domestic_passengers (number) , airport_name (text)", "shrink-score": 0.8928571428571429}
{"db_id": "aircraft", "question": "What are the total number of Domestic Passengers of airports that contain the word \"London\".", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "airport : domestic_passengers (number) , airport_name (text)", "shrink-score": 0.9285714285714286}
{"db_id": "aircraft", "question": "What are the total number of domestic passengers at all London airports?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "airport : domestic_passengers (number) , airport_name (text)", "shrink-score": 0.9285714285714286}
{"db_id": "aircraft", "question": "What are the maximum and minimum number of transit passengers of all aiports.", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "airport : transit_passengers (number)", "shrink-score": 0.9642857142857143}
{"db_id": "aircraft", "question": "What is the maximum and mininum number of transit passengers for all airports?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "airport : transit_passengers (number)", "shrink-score": 0.9642857142857143}
{"db_id": "aircraft", "question": "What are the name of pilots aged 25 or older?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "pilot : name (text) , age (number)", "shrink-score": 0.9285714285714286}
{"db_id": "aircraft", "question": "what is the name of every pilot who is at least 25 years old?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "pilot : name (text) , age (number)", "shrink-score": 0.9285714285714286}
{"db_id": "aircraft", "question": "List all pilot names in ascending alphabetical order.", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "pilot : name (text)", "shrink-score": 0.9642857142857143}
{"db_id": "aircraft", "question": "What are the names of the pilots in alphabetical order?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "pilot : name (text)", "shrink-score": 0.9642857142857143}
{"db_id": "aircraft", "question": "List names of all pilot aged 30 or younger in descending alphabetical order.", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "pilot : name (text) , age (number)", "shrink-score": 0.9285714285714286}
{"db_id": "aircraft", "question": "What are the names of all pilots 30 years old or young in descending alphabetical order?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "pilot : name (text) , age (number)", "shrink-score": 0.9285714285714286}
{"db_id": "aircraft", "question": "Please show the names of aircrafts associated with airport with name \"London Gatwick\".", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , aircraft_id (number) | airport_aircraft : aircraft_id (number) , airport_id (number) | airport : airport_id (number) , airport_name (text)", "shrink-score": 0.7857142857142857}
{"db_id": "aircraft", "question": "What are the names of all the aircrafts associated with London Gatwick airport?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , aircraft_id (number) | airport_aircraft : aircraft_id (number) , airport_id (number) | airport : airport_id (number) , airport_name (text)", "shrink-score": 0.7857142857142857}
{"db_id": "aircraft", "question": "Please show the names and descriptions of aircrafts associated with airports that have a total number of passengers bigger than 10000000.", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , description (text) , aircraft_id (number) | airport_aircraft : aircraft_id (number) , airport_id (number) | airport : airport_id (number) , total_passengers (number)", "shrink-score": 0.75}
{"db_id": "aircraft", "question": "What are the names and descriptions of aircrafts associated with an airport that has more total passengers than 10000000?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , description (text) , aircraft_id (number) | airport_aircraft : aircraft_id (number) , airport_id (number) | airport : airport_id (number) , total_passengers (number)", "shrink-score": 0.75}
{"db_id": "aircraft", "question": "What is the average total number of passengers of airports that are associated with aircraft \"Robinson R-22\"?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "airport : total_passengers (number) , airport_id (number) | aircraft : aircraft (text) , aircraft_id (number) | airport_aircraft : aircraft_id (number) , airport_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "aircraft", "question": "What is the average total number of passengers for all airports that the aircraft \"Robinson R-22\" visits?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "airport : total_passengers (number) , airport_id (number) | aircraft : aircraft (text) , aircraft_id (number) | airport_aircraft : aircraft_id (number) , airport_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "aircraft", "question": "Please list the location and the winning aircraft name.", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "match : location (text) , winning_aircraft (text) | aircraft : aircraft (text) , aircraft_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "aircraft", "question": "What is the location and name of the winning aircraft?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "match : location (text) , winning_aircraft (text) | aircraft : aircraft (text) , aircraft_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "aircraft", "question": "List the name of the aircraft that has been named winning aircraft the most number of times.", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , aircraft_id (number) | match : winning_aircraft (text) , round (number)", "shrink-score": 0.8571428571428571}
{"db_id": "aircraft", "question": "What is the name of the aircraft that has won an award the most?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , aircraft_id (number) | match : winning_aircraft (text) , round (number)", "shrink-score": 0.8571428571428571}
{"db_id": "aircraft", "question": "List the names of aircrafts and the number of times it won matches.", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , aircraft_id (number) | match : winning_aircraft (text) , round (number)", "shrink-score": 0.8571428571428571}
{"db_id": "aircraft", "question": "For each aircraft that has won an award, what is its name and how many time has it won?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , aircraft_id (number) | match : winning_aircraft (text) , round (number)", "shrink-score": 0.8571428571428571}
{"db_id": "aircraft", "question": "List names of all pilot in descending order of age.", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "pilot : name (text) , age (number)", "shrink-score": 0.9285714285714286}
{"db_id": "aircraft", "question": "What are the names of all pilots listed by descending age?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "pilot : name (text) , age (number)", "shrink-score": 0.9285714285714286}
{"db_id": "aircraft", "question": "List the names of aircrafts and that won matches at least twice.", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , aircraft_id (number) | match : winning_aircraft (text) , round (number)", "shrink-score": 0.8571428571428571}
{"db_id": "aircraft", "question": "What are the names of all aircrafts that have won a match at least twice?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , aircraft_id (number) | match : winning_aircraft (text) , round (number)", "shrink-score": 0.8571428571428571}
{"db_id": "aircraft", "question": "List the names of aircrafts and that did not win any match.", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , aircraft_id (number) | match : winning_aircraft (text)", "shrink-score": 0.8928571428571429}
{"db_id": "aircraft", "question": "What are the names of all aicrafts that have never won any match?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , aircraft_id (number) | match : winning_aircraft (text)", "shrink-score": 0.8928571428571429}
{"db_id": "aircraft", "question": "Show the names of aircrafts that are associated with both an airport named \"London Heathrow\" and an airport named \"London Gatwick\"", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , aircraft_id (number) | airport_aircraft : aircraft_id (number) , airport_id (number) | airport : airport_id (number) , airport_name (text)", "shrink-score": 0.7857142857142857}
{"db_id": "aircraft", "question": "What are the names of all aircrafts that are associated with both London Heathrow and Gatwick airports?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "aircraft : aircraft (text) , aircraft_id (number) | airport_aircraft : aircraft_id (number) , airport_id (number) | airport : airport_id (number) , airport_name (text)", "shrink-score": 0.7857142857142857}
{"db_id": "aircraft", "question": "Show all information on the airport that has the largest number of international passengers.", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "airport : international_passengers (number) , airport_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "aircraft", "question": "What is all the information on the airport with the largest number of international passengers?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "airport : international_passengers (number) , airport_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "aircraft", "question": "find the name and age of the pilot who has won the most number of times among the pilots who are younger than 30.", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "pilot : name (text) , age (number) , pilot_id (number) | match : winning_pilot (text) , round (number)", "shrink-score": 0.8214285714285714}
{"db_id": "aircraft", "question": "What is the name and age of the pilot younger than 30 who has won the most number of times?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "pilot : name (text) , age (number) , pilot_id (number) | match : winning_pilot (text) , round (number)", "shrink-score": 0.8214285714285714}
{"db_id": "aircraft", "question": "what is the name and age of the youngest winning pilot?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "pilot : name (text) , age (number) , pilot_id (number) | match : winning_pilot (text)", "shrink-score": 0.8571428571428571}
{"db_id": "aircraft", "question": "How old is the youngest winning pilot and what is their name?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "pilot : name (text) , age (number) , pilot_id (number) | match : winning_pilot (text)", "shrink-score": 0.8571428571428571}
{"db_id": "aircraft", "question": "find the name of pilots who did not win the matches held in the country of Australia.", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "pilot : name (text) , pilot_id (number) | match : winning_pilot (text) , country (text)", "shrink-score": 0.8571428571428571}
{"db_id": "aircraft", "question": "What are the names of the pilots that have not won any matches in Australia?", "schema": "pilot : pilot_id (number) , name (text) , age (number) | aircraft : aircraft_id (number) , aircraft (text) , description (text) , max_gross_weight (text) , total_disk_area (text) , max_disk_loading (text) | match : round (number) , location (text) , country (text) , date (text) , fastest_qualifying (text) , winning_pilot (text) , winning_aircraft (text) | airport : airport_id (number) , airport_name (text) , total_passengers (number) , %_change_2007 (text) , international_passengers (number) , domestic_passengers (number) , transit_passengers (number) , aircraft_movements (number) , freight_metric_tonnes (number) | airport_aircraft : id (number) , airport_id (number) , aircraft_id (number)", "summarized-schema": "pilot : name (text) , pilot_id (number) | match : winning_pilot (text) , country (text)", "shrink-score": 0.8571428571428571}
{"db_id": "local_govt_and_lot", "question": "How many residents does each property have? List property id and resident count.", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "properties : property_id (number) | residents : property_id (number) , resident_id (number)", "shrink-score": 0.9375}
{"db_id": "local_govt_and_lot", "question": "What is the distinct service types that are provided by the organization which has detail 'Denesik and Sons Party'?", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "services : service_type_code (text) , organization_id (number) | organizations : organization_id (number) , organization_details (text)", "shrink-score": 0.9166666666666666}
{"db_id": "local_govt_and_lot", "question": "How many services has each resident requested? List the resident id, details, and the count in descending order of the count.", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "residents : resident_id (number) , other_details (text) | residents_services : resident_id (number) , other_details (text)", "shrink-score": 0.9166666666666666}
{"db_id": "local_govt_and_lot", "question": "What is the maximum number that a certain service is provided? List the service id, details and number.", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "services : service_id (number) , service_details (text) | residents_services : service_id (number) , resident_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "local_govt_and_lot", "question": "List the id and type of each thing, and the details of the organization that owns it.", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "things : thing_id (number) , type_of_thing_code (text) , organization_id (number) | organizations : organization_details (text) , organization_id (number)", "shrink-score": 0.8958333333333334}
{"db_id": "local_govt_and_lot", "question": "What are the id and details of the customers who have at least 3 events?", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "customers : customer_id (number) , customer_details (text) | customer_events : customer_id (number) , customer_event_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "local_govt_and_lot", "question": "What is each customer's move in date, and the corresponding customer id and details?", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "customer_events : date_moved_in (time) , customer_id (number) | customers : customer_id (number) , customer_details (text)", "shrink-score": 0.9166666666666666}
{"db_id": "local_govt_and_lot", "question": "Which events have the number of notes between one and three? List the event id and the property id.", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "customer_events : customer_event_id (number) , property_id (number) | customer_event_notes : customer_event_id (number) , property_id (number) , customer_event_note_id (number)", "shrink-score": 0.8958333333333334}
{"db_id": "local_govt_and_lot", "question": "What are the distinct id and type of the thing that has the status 'Close' or has a status record before the date '2017-06-19 02:59:21'", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "things : thing_id (number) , type_of_thing_code (text) | timed_status_of_things : thing_id (number) , status_of_thing_code (text) , date_and_date (time)", "shrink-score": 0.8958333333333334}
{"db_id": "local_govt_and_lot", "question": "How many distinct locations have the things with service detail 'Unsatisfied' been located in?", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "timed_locations_of_things : location_code (text) , thing_id (number) | things : thing_id (number) , service_details (text)", "shrink-score": 0.9166666666666666}
{"db_id": "local_govt_and_lot", "question": "How many different status codes of things are there?", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "timed_status_of_things : status_of_thing_code (text)", "shrink-score": 0.9791666666666666}
{"db_id": "local_govt_and_lot", "question": "Which organizations are not a parent organization of others? List the organization id.", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "organizations : organization_id (number) , parent_organization_id (number)", "shrink-score": 0.9583333333333334}
{"db_id": "local_govt_and_lot", "question": "When is the last day any resident moved in?", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "residents : date_moved_in (time)", "shrink-score": 0.9791666666666666}
{"db_id": "local_govt_and_lot", "question": "What are the resident details containing the substring 'Miss'?", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "residents : other_details (text)", "shrink-score": 0.9791666666666666}
{"db_id": "local_govt_and_lot", "question": "List the customer event id and the corresponding move in date and property id.", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "customer_events : customer_event_id (number) , date_moved_in (time) , property_id (number)", "shrink-score": 0.9375}
{"db_id": "local_govt_and_lot", "question": "How many customers did not have any event?", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "customers : customer_id (number) | customer_events : customer_id (number) , customer_event_id (number)", "shrink-score": 0.9375}
{"db_id": "local_govt_and_lot", "question": "What are the distinct move in dates of the residents?", "schema": "customers : customer_id (number) , customer_details (text) | properties : property_id (number) , property_type_code (text) , property_address (text) , other_details (text) | residents : resident_id (number) , property_id (number) , date_moved_in (time) , date_moved_out (time) , other_details (text) | organizations : organization_id (number) , parent_organization_id (number) , organization_details (text) | services : service_id (number) , organization_id (number) , service_type_code (text) , service_details (text) | residents_services : resident_id (number) , service_id (number) , date_moved_in (time) , property_id (number) , date_requested (time) , date_provided (time) , other_details (text) | things : thing_id (number) , organization_id (number) , type_of_thing_code (text) , service_type_code (text) , service_details (text) | customer_events : customer_event_id (number) , customer_id (number) , date_moved_in (time) , property_id (number) , resident_id (number) , thing_id (number) | customer_event_notes : customer_event_note_id (number) , customer_event_id (number) , service_type_code (text) , resident_id (number) , property_id (number) , date_moved_in (time) | timed_status_of_things : thing_id (number) , date_and_date (time) , status_of_thing_code (text) | timed_locations_of_things : thing_id (number) , date_and_time (time) , location_code (text)", "summarized-schema": "residents : date_moved_in (time)", "shrink-score": 0.9791666666666666}
{"db_id": "school_player", "question": "How many schools are there?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : school (text) , school_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "school_player", "question": "Count the number of schools.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : school (text) , school_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "school_player", "question": "List the locations of schools in ascending order of enrollment.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : location (text) , school (text) , enrollment (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "What is the list of school locations sorted in ascending order of school enrollment?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : location (text) , school (text) , enrollment (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "List the locations of schools in descending order of founded year.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : location (text) , school (text) , founded (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "What is the list of school locations sorted in descending order of school foundation year?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : location (text) , school (text) , founded (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "What are the enrollments of schools whose denomination is not \"Catholic\"?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : enrollment (number) , school (text) , denomination (text)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "List the enrollment for each school that does not have \"Catholic\" as denomination.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : enrollment (number) , school (text) , denomination (text)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "What is the average enrollment of schools?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : enrollment (number) , school (text)", "shrink-score": 0.9230769230769231}
{"db_id": "school_player", "question": "Take the average of the school enrollment.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : enrollment (number) , school (text)", "shrink-score": 0.9230769230769231}
{"db_id": "school_player", "question": "What are the teams of the players, sorted in ascending alphabetical order?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "player : team (text) , player (text)", "shrink-score": 0.9230769230769231}
{"db_id": "school_player", "question": "Find the team of each player and sort them in ascending alphabetical order.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "player : team (text) , player (text)", "shrink-score": 0.9230769230769231}
{"db_id": "school_player", "question": "How many different positions of players are there?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "player : position (text) , player (text)", "shrink-score": 0.9230769230769231}
{"db_id": "school_player", "question": "Count the number of distinct player positions.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "player : position (text) , player (text)", "shrink-score": 0.9230769230769231}
{"db_id": "school_player", "question": "Find the team of the player of the highest age.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "player : team (text) , player (text) , age (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "Which team has the oldest player?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "player : team (text) , player (text) , age (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "List the teams of the players with the top 5 largest ages.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "player : team (text) , player (text) , age (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "What are the teams that have the 5 oldest players?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "player : team (text) , player (text) , age (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "For each player, show the team and the location of school they belong to.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "player : team (text) , player (text) , school_id (number) | school : location (text) , school (text) , school_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "school_player", "question": "What are the team and the location of school each player belongs to?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "player : team (text) , player (text) , school_id (number) | school : location (text) , school (text) , school_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "school_player", "question": "Show the locations of schools that have more than 1 player.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : location (text) , school (text) , school_id (number) | player : player (text) , school_id (number) , player_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "school_player", "question": "Which schools have more than 1 player? Give me the school locations.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : location (text) , school (text) , school_id (number) | player : player (text) , school_id (number) , player_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "school_player", "question": "Show the denomination of the school that has the most players.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : denomination (text) , school (text) , school_id (number) | player : player (text) , school_id (number) , player_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "school_player", "question": "What is the denomination of the school the most players belong to?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : denomination (text) , school (text) , school_id (number) | player : player (text) , school_id (number) , player_id (number)", "shrink-score": 0.7692307692307693}
{"db_id": "school_player", "question": "Show locations and nicknames of schools.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : location (text) , school (text) , school_id (number) | school_details : nickname (text) , school_id (number)", "shrink-score": 0.8076923076923077}
{"db_id": "school_player", "question": "What are the location and nickname of each school?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : location (text) , school (text) , school_id (number) | school_details : nickname (text) , school_id (number)", "shrink-score": 0.8076923076923077}
{"db_id": "school_player", "question": "Please show different denominations and the corresponding number of schools.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : denomination (text) , school (text) , school_id (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "For each denomination, return the denomination and the count of schools with that denomination.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : denomination (text) , school (text) , school_id (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "Please show different denominations and the corresponding number of schools in descending order.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : denomination (text) , school (text) , school_id (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "Order denominations in descending order of the count of schools with the denomination. Return each denomination with the count of schools.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : denomination (text) , school (text) , school_id (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "List the school color of the school that has the largest enrollment.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : school_colors (text) , school (text) , enrollment (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "What is the school color of the school with the largest enrollment?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : school_colors (text) , school (text) , enrollment (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "List the locations of schools that do not have any player.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : location (text) , school (text) , school_id (number) | player : school_id (number) , player (text)", "shrink-score": 0.8076923076923077}
{"db_id": "school_player", "question": "Which schools do not have any player? Give me the school locations.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : location (text) , school (text) , school_id (number) | player : school_id (number) , player (text)", "shrink-score": 0.8076923076923077}
{"db_id": "school_player", "question": "Show the denomination shared by schools founded before 1890 and schools founded after 1900", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : denomination (text) , school (text) , founded (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "What are the denominations used by both schools founded before 1890 and schools founded  after 1900?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : denomination (text) , school (text) , founded (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "Show the nicknames of schools that are not in division 1.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school_details : nickname (text) , division (text)", "shrink-score": 0.9230769230769231}
{"db_id": "school_player", "question": "What are the nicknames of schools whose division is not 1?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school_details : nickname (text) , division (text)", "shrink-score": 0.9230769230769231}
{"db_id": "school_player", "question": "Show the denomination shared by more than one school.", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : denomination (text) , school (text) , school_id (number)", "shrink-score": 0.8846153846153846}
{"db_id": "school_player", "question": "What are the denomination more than one school have?", "schema": "school : school_id (number) , school (text) , location (text) , enrollment (number) , founded (number) , denomination (text) , boys_or_girls (text) , day_or_boarding (text) , year_entered_competition (number) , school_colors (text) | school_details : school_id (number) , nickname (text) , colors (text) , league (text) , class (text) , division (text) | school_performance : school_id (number) , school_year (text) , class_a (text) , class_aa (text) | player : player_id (number) , player (text) , team (text) , age (number) , position (text) , school_id (number)", "summarized-schema": "school : denomination (text) , school (text) , school_id (number)", "shrink-score": 0.8846153846153846}
{"db_id": "store_product", "question": "Find all the distinct district names ordered by city area in descending.", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : district_name (text) , city_area (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "What are the different district names in order of descending city area?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : district_name (text) , city_area (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "Find the list of page size which have more than 3 product listed", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : max_page_size (text) , product (text) , product_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "store_product", "question": "What is the maximum page size for everything that has more than 3 products listed?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : max_page_size (text) , product (text) , product_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "store_product", "question": "Find the name and population of district with population between 200000 and 2000000", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : district_name (text) , city_population (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "What are the district names and city populations for all districts that between 200,000 and 2,000,000 residents?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : district_name (text) , city_population (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "Find the name all districts with city area greater than 10 or population larger than 100000", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : district_name (text) , city_area (number) , city_population (number)", "shrink-score": 0.8636363636363636}
{"db_id": "store_product", "question": "What are the names of all districts with a city area greater than 10 or have more than 100000 people living there?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : district_name (text) , city_area (number) , city_population (number)", "shrink-score": 0.8636363636363636}
{"db_id": "store_product", "question": "Which district has the largest population?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : district_name (text) , city_population (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "What is the name of the district with the most residents?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : district_name (text) , city_population (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "Which district has the least area?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : district_name (text) , city_area (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "What is the name of the district with the smallest area?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : district_name (text) , city_area (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "Find the total population of the top 3 districts with the largest area.", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : city_population (number) , city_area (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "What is the total number of residents for the districts with the 3 largest areas?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : city_population (number) , city_area (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "Find all types of store and number of them.", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "store : type (text) , store_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "For each type of store, how many of them are there?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "store : type (text) , store_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "Find the names of all stores in Khanewal District.", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "store : store_name (text) , store_id (number) | store_district : store_id (number) , district_id (number) | district : district_id (number) , district_name (text)", "shrink-score": 0.7272727272727273}
{"db_id": "store_product", "question": "What are the names of all the stores located in Khanewal District?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "store : store_name (text) , store_id (number) | store_district : store_id (number) , district_id (number) | district : district_id (number) , district_name (text)", "shrink-score": 0.7272727272727273}
{"db_id": "store_product", "question": "Find all the stores in the district with the most population.", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "store : store_name (text) , store_id (number) | store_district : store_id (number) , district_id (number) | district : district_id (number) , city_population (number)", "shrink-score": 0.7272727272727273}
{"db_id": "store_product", "question": "What are the names of all the stores in the largest district by population?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "store : store_name (text) , store_id (number) | store_district : store_id (number) , district_id (number) | district : district_id (number) , city_population (number)", "shrink-score": 0.7272727272727273}
{"db_id": "store_product", "question": "Which city is the headquarter of the store named \"Blackville\" in?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : headquartered_city (text) , district_id (number) | store : store_id (number) , store_name (text) | store_district : store_id (number) , district_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "store_product", "question": "What city is the headquarter of the store Blackville?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : headquartered_city (text) , district_id (number) | store : store_id (number) , store_name (text) | store_district : store_id (number) , district_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "store_product", "question": "Find the number of stores in each city.", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : headquartered_city (text) , district_id (number) | store : store_id (number) | store_district : store_id (number) , district_id (number)", "shrink-score": 0.7727272727272727}
{"db_id": "store_product", "question": "How many stores are headquarted in each city?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : headquartered_city (text) , district_id (number) | store : store_id (number) | store_district : store_id (number) , district_id (number)", "shrink-score": 0.7727272727272727}
{"db_id": "store_product", "question": "Find the city with the most number of stores.", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : headquartered_city (text) , district_id (number) | store : store_id (number) | store_district : store_id (number) , district_id (number)", "shrink-score": 0.7727272727272727}
{"db_id": "store_product", "question": "What is the city with the most number of flagship stores?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : headquartered_city (text) , district_id (number) | store : store_id (number) | store_district : store_id (number) , district_id (number)", "shrink-score": 0.7727272727272727}
{"db_id": "store_product", "question": "What is the average pages per minute color?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : pages_per_minute_color (number) , product (text)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "What is the average number of pages per minute color?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : pages_per_minute_color (number) , product (text)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "What products are available at store named \"Miramichi\"?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : product (text) , product_id (number) | store_product : product_id (number) , store_id (number) | store : store_id (number) , store_name (text)", "shrink-score": 0.7272727272727273}
{"db_id": "store_product", "question": "What products are sold at the store named Miramichi?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : product (text) , product_id (number) | store_product : product_id (number) , store_id (number) | store : store_id (number) , store_name (text)", "shrink-score": 0.7272727272727273}
{"db_id": "store_product", "question": "Find products with max page size as \"A4\" and pages per minute color smaller than 5.", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : product (text) , max_page_size (text) , pages_per_minute_color (number)", "shrink-score": 0.8636363636363636}
{"db_id": "store_product", "question": "What are the products with the maximum page size A4 that also have a pages per minute color smaller than 5?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : product (text) , max_page_size (text) , pages_per_minute_color (number)", "shrink-score": 0.8636363636363636}
{"db_id": "store_product", "question": "Find products with max page size as \"A4\" or pages per minute color smaller than 5.", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : product (text) , max_page_size (text) , pages_per_minute_color (number)", "shrink-score": 0.8636363636363636}
{"db_id": "store_product", "question": "What are the products with the maximum page size eqal to A4 or a pages per minute color less than 5?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : product (text) , max_page_size (text) , pages_per_minute_color (number)", "shrink-score": 0.8636363636363636}
{"db_id": "store_product", "question": "Find all the product whose name contains the word \"Scanner\".", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : product (text)", "shrink-score": 0.9545454545454546}
{"db_id": "store_product", "question": "What are all of the products whose name includes the substring \"Scanner\"?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : product (text)", "shrink-score": 0.9545454545454546}
{"db_id": "store_product", "question": "Find the most prominent max page size among all the products.", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : max_page_size (text) , product (text) , product_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "store_product", "question": "What is the most common maximum page size?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : max_page_size (text) , product (text) , product_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "store_product", "question": "Find the name of the products that are not using the most frequently-used max page size.", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : product (text) , max_page_size (text) , product_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "store_product", "question": "What are the names of all products that are not the most frequently-used maximum page size?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "product : product (text) , max_page_size (text) , product_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "store_product", "question": "Find the total population of the districts where the area is bigger than the average city area.", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : city_population (number) , city_area (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "What is the total population for all the districts that have an area larger tahn the average city area?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : city_population (number) , city_area (number)", "shrink-score": 0.9090909090909091}
{"db_id": "store_product", "question": "Find the names of districts where have both city mall and village store type stores.", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : district_name (text) , district_id (number) | store : store_id (number) , type (text) | store_district : store_id (number) , district_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "store_product", "question": "What are the names of the districts that have both mall and village store style shops?", "schema": "product : product_id (number) , product (text) , dimensions (text) , dpi (number) , pages_per_minute_color (number) , max_page_size (text) , interface (text) | store : store_id (number) , store_name (text) , type (text) , area_size (number) , number_of_product_category (number) , ranking (number) | district : district_id (number) , district_name (text) , headquartered_city (text) , city_population (number) , city_area (number) | store_product : store_id (number) , product_id (number) | store_district : store_id (number) , district_id (number)", "summarized-schema": "district : district_name (text) , district_id (number) | store : store_id (number) , type (text) | store_district : store_id (number) , district_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "What is the total enrollment number of all colleges?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : enr (number)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "How many students are enrolled in college?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : enr (number)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "What is the average enrollment number?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : enr (number)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "How many students, on average, does each college have enrolled?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : enr (number)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "How many colleges in total?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "How many different colleges are there?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "How many players have more than 1000 hours of training?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : hs (number) , pid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "How many different players trained for more than 1000 hours?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : hs (number) , pid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "How many colleges has more than 15000 students?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : enr (number) , cname (text)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What is the number of colleges with a student population greater than 15000?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : enr (number) , cname (text)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What is the average training hours of all players?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : hs (number)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "How many hours do the players train on average?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : hs (number)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "Find the name and training hours of players whose hours are below 1500.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , hs (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What are the names and number of hours spent training for each player who trains for less than 1500 hours?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , hs (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "How many different colleges do attend the tryout test?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "How many different colleges were represented at tryouts?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "What are the unique types of player positions in the tryout?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : ppos (text)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "What are the different types of player positions?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : ppos (text)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "How many students got accepted after the tryout?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : decision (text) , pid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "How many students received a yes from tryouts?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : decision (text) , pid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "How many students whose are playing the role of goalie?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : ppos (text) , pid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What is the number of students playing as a goalie?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : ppos (text) , pid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "Find the max, average and min training hours of all players.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : hs (number)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "What is the average, maximum, and minimum for the number of hours spent training?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : hs (number)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "What is average enrollment of colleges in the state FL?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : enr (number) , state (text)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What is average number of students enrolled in Florida colleges?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : enr (number) , state (text)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What are the names of players whose training hours is between 500 and 1500?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , hs (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What are the names of players who train between 500 and 1500 hours?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , hs (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "Find the players whose names contain letter 'a'.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "Who are the players that have names containing the letter a?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "Find the name, enrollment of the colleges whose size is bigger than 10000 and location is in state LA.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text) , enr (number) , state (text)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "What are the names and enrollment numbers for colleges that have more than 10000 enrolled and are located in Louisiana?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text) , enr (number) , state (text)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "List all information about college sorted by enrollment number in the ascending order.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : enr (number) , cname (text)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What information do you have on colleges sorted by increasing enrollment numbers?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : enr (number) , cname (text)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "List the name of the colleges whose enrollment is greater 18000 sorted by the college's name.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text) , enr (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What is the name of every college in alphabetical order that has more than 18000 students enrolled?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text) , enr (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "Find the name of players whose card is yes in the descending order of training hours.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , ycard (text) , hs (number)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "What are the name of the players who received a card in descending order of the hours of training?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , ycard (text) , hs (number)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "Find the name of different colleges involved in the tryout in alphabetical order.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "What are the different names of the colleges involved in the tryout in alphabetical order?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text)", "shrink-score": 0.9090909090909091}
{"db_id": "soccer_2", "question": "Which position is most popular among players in the tryout?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : ppos (text) , pid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What was the most popular position at tryouts?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : ppos (text) , pid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "Find the number of students who participate in the tryout for each college ordered by descending count.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text) , pid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "How many students participated in tryouts for each college by descennding count?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text) , pid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What is minimum hours of the students playing in different position?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : hs (number) , pid (number) | tryout : ppos (text) , pid (number)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "For each position, what is the minimum time students spent practicing?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : hs (number) , pid (number) | tryout : ppos (text) , pid (number)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "What are the names of schools with the top 3 largest size?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text) , enr (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What are the names of the schools with the top 3 largest class sizes?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text) , enr (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What is the name of school that has the smallest enrollment in each state?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text) , state (text) , enr (number)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "What is the name of the school with smallest enrollment size per state?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text) , state (text) , enr (number)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "Find the states where have some college students in tryout.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , cname (text) | tryout : cname (text)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "What are the different states that have students trying out?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , cname (text) | tryout : cname (text)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "Find the states where have some college students in tryout and their decisions are yes.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , cname (text) | tryout : cname (text) , decision (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "What are the different states that had students successfully try out?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , cname (text) | tryout : cname (text) , decision (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "Find the name and college of students whose decisions are yes in the tryout.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , pid (number) | tryout : cname (text) , pid (number) , decision (text)", "shrink-score": 0.5454545454545454}
{"db_id": "soccer_2", "question": "What are the names of all the players who received a yes during tryouts, and also what are the names of their colleges?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , pid (number) | tryout : cname (text) , pid (number) , decision (text)", "shrink-score": 0.5454545454545454}
{"db_id": "soccer_2", "question": "Find the name of all students who were in the tryout sorted in alphabetic order.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , pid (number) | tryout : pid (number)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "What are the names of all students who tried out in alphabetical order?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , pid (number) | tryout : pid (number)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "Find the name and hours of the students whose tryout decision is yes.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , hs (number) , pid (number) | tryout : pid (number) , decision (text)", "shrink-score": 0.5454545454545454}
{"db_id": "soccer_2", "question": "What are the names and hours spent practicing of every student who received a yes at tryouts?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , hs (number) , pid (number) | tryout : pid (number) , decision (text)", "shrink-score": 0.5454545454545454}
{"db_id": "soccer_2", "question": "Find the states of the colleges that have students in the tryout who played in striker position.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , cname (text) | tryout : cname (text) , ppos (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "What are the states of the colleges where students who tried out for the striker position attend?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , cname (text) | tryout : cname (text) , ppos (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "Find the names of the students who are in the position of striker and got a yes tryout decision.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , pid (number) | tryout : pid (number) , decision (text) , ppos (text)", "shrink-score": 0.5454545454545454}
{"db_id": "soccer_2", "question": "What are the names of all students who successfully tried out for the position of striker?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , pid (number) | tryout : pid (number) , decision (text) , ppos (text)", "shrink-score": 0.5454545454545454}
{"db_id": "soccer_2", "question": "Find the state of the college which player Charles is attending.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , cname (text) | tryout : cname (text) , pid (number) | player : pid (number) , pname (text)", "shrink-score": 0.45454545454545453}
{"db_id": "soccer_2", "question": "In which state is the college that Charles attends?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , cname (text) | tryout : cname (text) , pid (number) | player : pid (number) , pname (text)", "shrink-score": 0.45454545454545453}
{"db_id": "soccer_2", "question": "Find the average and maximum hours for the students whose tryout decision is yes.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : hs (number) , pid (number) | tryout : pid (number) , decision (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "What is the average and maximum number of hours students who made the team practiced?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : hs (number) , pid (number) | tryout : pid (number) , decision (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "Find the average hours for the students whose tryout decision is no.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : hs (number) , pid (number) | tryout : pid (number) , decision (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "What is the average number of hours spent practicing for students who got rejected?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : hs (number) , pid (number) | tryout : pid (number) , decision (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "What is the maximum training hours for the students whose training hours is greater than 1000 in different positions?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : hs (number) , pid (number) | tryout : ppos (text) , pid (number)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "For each position, what is the maximum number of  hours for students who spent more than 1000 hours training?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : hs (number) , pid (number) | tryout : ppos (text) , pid (number)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "Which colleges do the tryout players whose name starts with letter D go to?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text) , pid (number) | player : pid (number) , pname (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "Which colleges does each player with a name that starts with the letter D  who tried out go to?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text) , pid (number) | player : pid (number) , pname (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "Which college has any student who is a goalie and succeeded in the tryout.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text) , decision (text) , ppos (text)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "What college has a student who successfully made the team in the role of a goalie?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text) , decision (text) , ppos (text)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "Find the name of the tryout players who are from the college with largest size.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , pid (number) | tryout : pid (number) , cname (text) | college : cname (text) , enr (number)", "shrink-score": 0.45454545454545453}
{"db_id": "soccer_2", "question": "What are the names of all tryout participants who are from the largest college?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "player : pname (text) , pid (number) | tryout : pid (number) , cname (text) | college : cname (text) , enr (number)", "shrink-score": 0.45454545454545453}
{"db_id": "soccer_2", "question": "What is the state and enrollment of the colleges where have any students who got accepted in the tryout decision.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , enr (number) , cname (text) | tryout : cname (text) , decision (text)", "shrink-score": 0.5454545454545454}
{"db_id": "soccer_2", "question": "How many students are enrolled in colleges that have student accepted during tryouts, and in which states are those colleges?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , enr (number) , cname (text) | tryout : cname (text) , decision (text)", "shrink-score": 0.5454545454545454}
{"db_id": "soccer_2", "question": "Find the names of either colleges in LA with greater than 15000 size or in state AZ with less than 13000 enrollment.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text) , enr (number) , state (text)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "What are the names of colleges in LA that have more than 15,000 students and of colleges in AZ with less than 13,000 students?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text) , enr (number) , state (text)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "Find the names of schools that have some students playing in goalie and mid positions.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text) , ppos (text)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What are the names of all schools that have students trying out for the position of goal and 'mid'-field.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text) , ppos (text)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "Find the names of states that have some college students playing in goalie and mid positions.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , cname (text) | tryout : cname (text) , ppos (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "What are the names of the states that have some college students playing in the positions of goalie and mid-field?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , cname (text) | tryout : cname (text) , ppos (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "How many schools have some students playing in goalie and mid positions.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text) , ppos (text) , pid (number)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "How many schools have students playing in goalie and mid-field positions?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text) , ppos (text) , pid (number)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "Find the names of schools that have some players in the mid position but not in the goalie position.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text) , ppos (text)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What are the names of the schools with some players in the mid position but no goalies?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "tryout : cname (text) , ppos (text)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "Find the names of states that have some college students playing in the mid position but not in the goalie position.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , cname (text) | tryout : cname (text) , ppos (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "What are the names of all the states with college students playing in the mid position but no goalies?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , cname (text) | tryout : cname (text) , ppos (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "How many states that have some college students playing in the mid position but not in the goalie position.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , cname (text) | tryout : cname (text) , ppos (text) , pid (number)", "shrink-score": 0.5454545454545454}
{"db_id": "soccer_2", "question": "What is the count of states with college students playing in the mid position but not as goalies?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , cname (text) | tryout : cname (text) , ppos (text) , pid (number)", "shrink-score": 0.5454545454545454}
{"db_id": "soccer_2", "question": "Find the states where have the colleges whose enrollments are less than the largest size.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , enr (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What are the states with colleges that have enrollments less than the some other college?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , enr (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "Find names of colleges with enrollment greater than that of some (at least one) college in the FL state.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text) , enr (number) , state (text)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "What are the names of the colleges that are larger than at least one college in Florida?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text) , enr (number) , state (text)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "Find names of all colleges whose enrollment is greater than that of all colleges in the FL state.", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text) , enr (number) , state (text)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "What are the names of all colleges with a larger enrollment than the largest college in Florida?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : cname (text) , enr (number) , state (text)", "shrink-score": 0.7272727272727273}
{"db_id": "soccer_2", "question": "What is the total number of enrollment of schools that do not have any goalie player?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : enr (number) , cname (text) | tryout : cname (text) , ppos (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "What is the total number of students enrolled in schools without any goalies?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : enr (number) , cname (text) | tryout : cname (text) , ppos (text)", "shrink-score": 0.6363636363636364}
{"db_id": "soccer_2", "question": "What is the number of states that has some college whose enrollment is larger than the average enrollment?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , enr (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "How many states have a college with more students than average?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , enr (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "What is the number of states that has some colleges whose enrollment is smaller than the average enrollment?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , enr (number)", "shrink-score": 0.8181818181818182}
{"db_id": "soccer_2", "question": "How many states have smaller colleges than average?", "schema": "college : cname (text) , state (text) , enr (number) | player : pid (number) , pname (text) , ycard (text) , hs (number) | tryout : pid (number) , cname (text) , ppos (text) , decision (text)", "summarized-schema": "college : state (text) , enr (number)", "shrink-score": 0.8181818181818182}
{"db_id": "device", "question": "How many devices are there?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : device (text) , device_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "device", "question": "Count the number of devices.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : device (text) , device_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "device", "question": "List the carriers of devices in ascending alphabetical order.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : carrier (text) , device (text)", "shrink-score": 0.8571428571428571}
{"db_id": "device", "question": "What are the different carriers for devices, listed in alphabetical order?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : carrier (text) , device (text)", "shrink-score": 0.8571428571428571}
{"db_id": "device", "question": "What are the carriers of devices whose software platforms are not \"Android\"?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : carrier (text) , device (text) , software_platform (text)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "Return the device carriers that do not have Android as their software platform.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : carrier (text) , device (text) , software_platform (text)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "What are the names of shops in ascending order of open year?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , open_year (number)", "shrink-score": 0.8571428571428571}
{"db_id": "device", "question": "Return the names of shops, ordered by year of opening ascending.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , open_year (number)", "shrink-score": 0.8571428571428571}
{"db_id": "device", "question": "What is the average quantity of stocks?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "stock : quantity (number)", "shrink-score": 0.9285714285714286}
{"db_id": "device", "question": "Give the average quantity of stocks.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "stock : quantity (number)", "shrink-score": 0.9285714285714286}
{"db_id": "device", "question": "What are the names and location of the shops in ascending alphabetical order of name.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , location (text)", "shrink-score": 0.8571428571428571}
{"db_id": "device", "question": "Return the names and locations of shops, ordered by name in alphabetical order.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , location (text)", "shrink-score": 0.8571428571428571}
{"db_id": "device", "question": "How many different software platforms are there for devices?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : software_platform (text) , device (text)", "shrink-score": 0.8571428571428571}
{"db_id": "device", "question": "Count the number of different software platforms.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : software_platform (text) , device (text)", "shrink-score": 0.8571428571428571}
{"db_id": "device", "question": "List the open date of open year of the shop named \"Apple\".", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : open_date (text) , open_year (number) , shop_name (text)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "What are the open dates and years for the shop named Apple?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : open_date (text) , open_year (number) , shop_name (text)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "List the name of the shop with the latest open year.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , open_year (number)", "shrink-score": 0.8571428571428571}
{"db_id": "device", "question": "What is the shop name corresponding to the shop that opened in the most recent year?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , open_year (number)", "shrink-score": 0.8571428571428571}
{"db_id": "device", "question": "Show names of shops and the carriers of devices they have in stock.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , shop_id (number) | device : carrier (text) , device (text) , device_id (number) | stock : device_id (number) , shop_id (number)", "shrink-score": 0.5}
{"db_id": "device", "question": "What are the names of device shops, and what are the carriers that they carry devices in stock for?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , shop_id (number) | device : carrier (text) , device (text) , device_id (number) | stock : device_id (number) , shop_id (number)", "shrink-score": 0.5}
{"db_id": "device", "question": "Show names of shops that have more than one kind of device in stock.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , shop_id (number) | stock : shop_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "What are the names of shops that have more than a single kind of device in stock?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , shop_id (number) | stock : shop_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "Show the name of the shop that has the most kind of devices in stock.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , shop_id (number) | stock : shop_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "What is the name of the shop that has the most different kinds of devices in stock?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , shop_id (number) | stock : shop_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "Show the name of the shop that have the largest quantity of devices in stock.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , shop_id (number) | stock : shop_id (number) , quantity (number)", "shrink-score": 0.7142857142857143}
{"db_id": "device", "question": "What is the name of the shop that has the greatest quantity of devices in stock?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , shop_id (number) | stock : shop_id (number) , quantity (number)", "shrink-score": 0.7142857142857143}
{"db_id": "device", "question": "Please show different software platforms and the corresponding number of devices using each.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : software_platform (text) , device (text) , device_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "What are the different software platforms for devices, and how many devices have each?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : software_platform (text) , device (text) , device_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "Please show the software platforms of devices in descending order of the count.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : software_platform (text) , device (text) , device_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "What are the different software platforms for devices, ordered by frequency descending?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : software_platform (text) , device (text) , device_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "List the software platform shared by the greatest number of devices.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : software_platform (text) , device (text) , device_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "What is the software platform that is most common amongst all devices?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : software_platform (text) , device (text) , device_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "List the names of shops that have no devices in stock.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , shop_id (number) | stock : shop_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "What are the names of shops that do not have any devices in stock?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : shop_name (text) , shop_id (number) | stock : shop_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "device", "question": "Show the locations shared by shops with open year later than 2012 and shops with open year before 2008.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : location (text) , open_year (number)", "shrink-score": 0.8571428571428571}
{"db_id": "device", "question": "Which locations contains both shops that opened after the year 2012 and shops that opened before 2008?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "shop : location (text) , open_year (number)", "shrink-score": 0.8571428571428571}
{"db_id": "device", "question": "List the carriers of devices that have no devices in stock.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : carrier (text) , device (text) , device_id (number) | stock : device_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "device", "question": "What are the carriers of devices that are not in stock anywhere?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : carrier (text) , device (text) , device_id (number) | stock : device_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "device", "question": "Show the carriers of devices in stock at more than one shop.", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : carrier (text) , device (text) , device_id (number) | stock : device_id (number) , shop_id (number)", "shrink-score": 0.6428571428571429}
{"db_id": "device", "question": "What are the carriers of devices that are in stock in more than a single shop?", "schema": "device : device_id (number) , device (text) , carrier (text) , package_version (text) , applications (text) , software_platform (text) | shop : shop_id (number) , shop_name (text) , location (text) , open_date (text) , open_year (number) | stock : shop_id (number) , device_id (number) , quantity (number)", "summarized-schema": "device : carrier (text) , device (text) , device_id (number) | stock : device_id (number) , shop_id (number)", "shrink-score": 0.6428571428571429}
{"db_id": "cre_Drama_Workshop_Groups", "question": "How many bookings do we have?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "bookings : booking_id (number)", "shrink-score": 0.98989898989899}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Count the total number of bookings made.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "bookings : booking_id (number)", "shrink-score": 0.98989898989899}
{"db_id": "cre_Drama_Workshop_Groups", "question": "List the order dates of all the bookings.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "bookings : order_date (time)", "shrink-score": 0.98989898989899}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What is the order date of each booking?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "bookings : order_date (time)", "shrink-score": 0.98989898989899}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Show all the planned delivery dates and actual delivery dates of bookings.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "bookings : planned_delivery_date (time) , actual_delivery_date (time)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the planned delivery date and actual delivery date for each booking?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "bookings : planned_delivery_date (time) , actual_delivery_date (time)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "How many customers do we have?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "customers : customer_id (text)", "shrink-score": 0.98989898989899}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Count the number of customers recorded.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "customers : customer_id (text)", "shrink-score": 0.98989898989899}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the phone and email for customer Harold?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "customers : customer_phone (text) , customer_email_address (text) , customer_name (text)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Find the phone number and email address of customer \"Harold\".", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "customers : customer_phone (text) , customer_email_address (text) , customer_name (text)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Show all the Store_Name of drama workshop groups.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : store_name (text)", "shrink-score": 0.98989898989899}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the store names of drama workshop groups?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : store_name (text)", "shrink-score": 0.98989898989899}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Show the minimum, average, maximum order quantity of all invoices.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "invoices : order_quantity (text)", "shrink-score": 0.98989898989899}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the minimum, average, and maximum quantities ordered? Check all the invoices.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "invoices : order_quantity (text)", "shrink-score": 0.98989898989899}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the distinct payment method codes in all the invoices?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "invoices : payment_method_code (text)", "shrink-score": 0.98989898989899}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Show me the distinct payment method codes from the invoice record.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "invoices : payment_method_code (text)", "shrink-score": 0.98989898989899}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What is the description of the marketing region China?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "marketing_regions : marketing_region_descriptrion (text) , marketing_region_name (text)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Find the marketing region description of China?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "marketing_regions : marketing_region_descriptrion (text) , marketing_region_name (text)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Show all the distinct product names with price higher than the average.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "products : product_name (text) , product_price (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the distinct names of the products that cost more than the average?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "products : product_name (text) , product_price (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What is the name of the most expensive product?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "products : product_name (text) , product_price (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Tell me the name of the most pricy product.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "products : product_name (text) , product_price (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "List all product names in ascending order of price.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "products : product_name (text) , product_price (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Sort the names of products in ascending order of their price.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "products : product_name (text) , product_price (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What is the phone number of the performer Ashley?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "performers : customer_phone (text) , customer_name (text)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Find the phone number of performer \"Ashley\".", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "performers : customer_phone (text) , customer_name (text)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Show all payment method codes and the number of orders for each code.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "invoices : payment_method_code (text) , invoice_id (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "List the distinct payment method codes with the number of orders made", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "invoices : payment_method_code (text) , invoice_id (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What is the payment method code used by the most orders?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "invoices : payment_method_code (text) , invoice_id (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Find the payment method that is used the most often in all the invoices. Give me its code.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "invoices : payment_method_code (text) , invoice_id (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Which city is the address of the store named \"FJA Filming\" located in?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "addresses : city_town (text) , address_id (text) | stores : address_id (number) , store_name (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Find the city the store named \"FJA Filming\" is in.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "addresses : city_town (text) , address_id (text) | stores : address_id (number) , store_name (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the states or counties of the address of the stores with marketing region code \"CA\"?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "addresses : state_county (text) , address_id (text) | stores : address_id (number) , marketing_region_code (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Find the states or counties where the stores with marketing region code \"CA\" are located.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "addresses : state_county (text) , address_id (text) | stores : address_id (number) , marketing_region_code (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What is the name of the marketing region that the store Rob Dinning belongs to?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "marketing_regions : marketing_region_name (text) , marketing_region_code (text) | stores : marketing_region_code (text) , store_name (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Return the name of the marketing region the store Rob Dinning is located in.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "marketing_regions : marketing_region_name (text) , marketing_region_code (text) | stores : marketing_region_code (text) , store_name (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the descriptions of the service types with product price above 100?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "ref_service_types : service_type_description (text) , service_type_code (text) | services : service_type_code (text) , product_price (number)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Give me the descriptions of the service types that cost more than 100.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "ref_service_types : service_type_description (text) , service_type_code (text) | services : service_type_code (text) , product_price (number)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What is the description, code and the corresponding count of each service type?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "ref_service_types : service_type_description (text) , service_type_code (text) | services : service_type_code (text) , service_id (number)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "List the description, code and the number of services for each service type.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "ref_service_types : service_type_description (text) , service_type_code (text) | services : service_type_code (text) , service_id (number)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What is the description and code of the type of service that is performed the most often?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "ref_service_types : service_type_description (text) , service_type_code (text) | services : service_type_code (text) , service_id (number)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Find the description and code of the service type that is performed the most times.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "ref_service_types : service_type_description (text) , service_type_code (text) | services : service_type_code (text) , service_id (number)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the phones and emails of workshop groups in which services are performed?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : store_phone (text) , store_email_address (text) , workshop_group_id (number) | services : workshop_group_id (number)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Give me all the phone numbers and email addresses of the workshop groups where services are performed.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : store_phone (text) , store_email_address (text) , workshop_group_id (number) | services : workshop_group_id (number)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the names of workshop groups in which services with product name \"film\" are performed?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : store_phone (text) , store_email_address (text) , workshop_group_id (number) | services : workshop_group_id (number) , product_name (text)", "shrink-score": 0.9494949494949495}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Find the names of the workshop groups where services with product name \"film\" are performed.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : store_phone (text) , store_email_address (text) , workshop_group_id (number) | services : workshop_group_id (number) , product_name (text)", "shrink-score": 0.9494949494949495}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the different product names? What is the average product price for each of them?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "products : product_name (text) , product_price (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "For each distinct product name, show its average product price.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "products : product_name (text) , product_price (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the product names with average product price smaller than 1000000?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "products : product_name (text) , product_price (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Find the product names whose average product price is below 1000000.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "products : product_name (text) , product_price (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the total order quantities of photo products?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "order_items : order_quantity (text) , product_id (number) | products : product_id (text) , product_name (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Compute the total order quantities of the product \"photo\".", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "order_items : order_quantity (text) , product_id (number) | products : product_id (text) , product_name (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the order details of the products with price higher than 2000?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "order_items : other_item_details (text) , product_id (number) | products : product_id (text) , product_price (number)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Find the order detail for the products with price above 2000.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "order_items : other_item_details (text) , product_id (number) | products : product_id (text) , product_price (number)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the actual delivery dates of orders with quantity 1?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "customer_orders : actual_delivery_date (time) , order_id (number) | order_items : order_id (number) , order_quantity (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "List the actual delivery date for all the orders with quantity 1", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "customer_orders : actual_delivery_date (time) , order_id (number) | order_items : order_id (number) , order_quantity (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the order dates of orders with price higher than 1000?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "customer_orders : order_date (time) , order_id (number) | order_items : order_id (number) , product_id (number) | products : product_id (text) , product_price (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Find the order dates of the orders with price above 1000.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "customer_orders : order_date (time) , order_id (number) | order_items : order_id (number) , product_id (number) | products : product_id (text) , product_price (number)", "shrink-score": 0.9393939393939394}
{"db_id": "cre_Drama_Workshop_Groups", "question": "How many distinct currency codes are there for all drama workshop groups?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : currency_code (text)", "shrink-score": 0.98989898989899}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Find the number of distinct currency codes used in drama workshop groups.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : currency_code (text)", "shrink-score": 0.98989898989899}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the names of the drama workshop groups with address in Feliciaberg city?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : store_name (text) , address_id (number) | addresses : address_id (text) , city_town (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Return the the names of the drama workshop groups that are located in Feliciaberg city.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : store_name (text) , address_id (number) | addresses : address_id (text) , city_town (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the email addresses of the drama workshop groups with address in Alaska state?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : store_email_address (text) , address_id (number) | addresses : address_id (text) , state_county (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "List the email addresses of the drama workshop groups located in Alaska state.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : store_email_address (text) , address_id (number) | addresses : address_id (text) , state_county (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Show all cities along with the number of drama workshop groups in each city.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "addresses : city_town (text) , address_id (text) | drama_workshop_groups : address_id (number) , workshop_group_id (number)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "How many drama workshop groups are there in each city? Return both the city and the count.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "addresses : city_town (text) , address_id (text) | drama_workshop_groups : address_id (number) , workshop_group_id (number)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What is the marketing region code that has the most drama workshop groups?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : marketing_region_code (text) , workshop_group_id (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Which marketing region has the most drama workshop groups? Give me the region code.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : marketing_region_code (text) , workshop_group_id (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Show all cities where at least one customer lives in but no performer lives in.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "addresses : city_town (text) , address_id (text) | performers : address_id (number) | customers : address_id (number)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Which cities have at least one customer but no performer?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "addresses : city_town (text) , address_id (text) | performers : address_id (number) | customers : address_id (number)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What is the most frequent status of bookings?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "bookings : status_code (text) , booking_id (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Which status code is the most common of all the bookings?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "bookings : status_code (text) , booking_id (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the names of the workshop groups that have bookings with status code \"stop\"?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : store_name (text) , workshop_group_id (number) | bookings : workshop_group_id (text) , status_code (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Which workshop groups have bookings with status code \"stop\"? Give me the names.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "drama_workshop_groups : store_name (text) , workshop_group_id (number) | bookings : workshop_group_id (text) , status_code (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Show the names of all the clients with no booking.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "clients : customer_name (text) , client_id (number) | bookings : customer_id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What are the names of the clients who do not have any booking?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "clients : customer_name (text) , client_id (number) | bookings : customer_id (number)", "shrink-score": 0.9696969696969697}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What is the average quantities ordered with payment method code \"MasterCard\" on invoices?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "invoices : order_quantity (text) , payment_method_code (text)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Check the invoices record and compute the average quantities ordered with the payment method \"MasterCard\".", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "invoices : order_quantity (text) , payment_method_code (text)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What is the product ID of the most frequently ordered item on invoices?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "invoices : product_id (number) , invoice_id (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Find the id of the product ordered the most often on invoices.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "invoices : product_id (number) , invoice_id (number)", "shrink-score": 0.9797979797979798}
{"db_id": "cre_Drama_Workshop_Groups", "question": "What is the description of the service type which offers both the photo product and the film product?", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "ref_service_types : service_type_description (text) , service_type_code (text) | services : service_type_code (text) , product_name (text)", "shrink-score": 0.9595959595959596}
{"db_id": "cre_Drama_Workshop_Groups", "question": "Give me the description of the service type that offers not only the photo product but also the film product.", "schema": "ref_payment_methods : payment_method_code (text) , payment_method_description (text) | ref_service_types : service_type_code (text) , parent_service_type_code (text) , service_type_description (text) | addresses : address_id (text) , line_1 (text) , line_2 (text) , city_town (text) , state_county (text) , other_details (text) | products : product_id (text) , product_name (text) , product_price (number) , product_description (text) , other_product_service_details (text) | marketing_regions : marketing_region_code (text) , marketing_region_name (text) , marketing_region_descriptrion (text) , other_details (text) | clients : client_id (number) , address_id (number) , customer_email_address (text) , customer_name (text) , customer_phone (text) , other_details (text) | drama_workshop_groups : workshop_group_id (number) , address_id (number) , currency_code (text) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | performers : performer_id (number) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | customers : customer_id (text) , address_id (number) , customer_name (text) , customer_phone (text) , customer_email_address (text) , other_details (text) | stores : store_id (text) , address_id (number) , marketing_region_code (text) , store_name (text) , store_phone (text) , store_email_address (text) , other_details (text) | bookings : booking_id (number) , customer_id (number) , workshop_group_id (text) , status_code (text) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | performers_in_bookings : order_id (number) , performer_id (number) | customer_orders : order_id (number) , customer_id (number) , store_id (number) , order_date (time) , planned_delivery_date (time) , actual_delivery_date (time) , other_order_details (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text) , other_item_details (text) | invoices : invoice_id (number) , order_id (number) , payment_method_code (text) , product_id (number) , order_quantity (text) , other_item_details (text) , order_item_id (number) | services : service_id (number) , service_type_code (text) , workshop_group_id (number) , product_description (text) , product_name (text) , product_price (number) , other_product_service_details (text) | bookings_services : order_id (number) , product_id (number) | invoice_items : invoice_item_id (number) , invoice_id (number) , order_id (number) , order_item_id (number) , product_id (number) , order_quantity (number) , other_item_details (text)", "summarized-schema": "ref_service_types : service_type_description (text) , service_type_code (text) | services : service_type_code (text) , product_name (text)", "shrink-score": 0.9595959595959596}
{"db_id": "music_2", "question": "How many bands are there?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "music_2", "question": "Find the number of bands.", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "music_2", "question": "What are all the labels?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "albums : label (text)", "shrink-score": 0.9545454545454546}
{"db_id": "music_2", "question": "What are the different album labels listed?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "albums : label (text)", "shrink-score": 0.9545454545454546}
{"db_id": "music_2", "question": "Find all the albums in 2012.", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "albums : year (number) , aid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "music_2", "question": "return all columns of the albums created in the year of 2012.", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "albums : year (number) , aid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "music_2", "question": "Find all the stage positions of the musicians with first name \"Solveig\"", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "performance : stageposition (text) , bandmate (number) | band : id (number) , firstname (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "What are the different stage positions for all musicians whose first name is \"Solveig\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "performance : stageposition (text) , bandmate (number) | band : id (number) , firstname (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "How many songs are there?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : songid (number)", "shrink-score": 0.9545454545454546}
{"db_id": "music_2", "question": "Count the number of songs.", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : songid (number)", "shrink-score": 0.9545454545454546}
{"db_id": "music_2", "question": "Find all the songs performed by artist with last name \"Heilo\"", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | performance : bandmate (number) , songid (number) | band : id (number) , lastname (text)", "shrink-score": 0.7272727272727273}
{"db_id": "music_2", "question": "What are the names of the songs by the artist whose last name is \"Heilo\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | performance : bandmate (number) , songid (number) | band : id (number) , lastname (text)", "shrink-score": 0.7272727272727273}
{"db_id": "music_2", "question": "Hom many musicians performed in the song \"Flash\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "performance : bandmate (number) , songid (number) | band : id (number) | songs : songid (number) , title (text)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "How many musicians play in the song \"Flash\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "performance : bandmate (number) , songid (number) | band : id (number) | songs : songid (number) , title (text)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "Find all the songs produced by artists with first name \"Marianne\".", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | performance : bandmate (number) , songid (number) | band : id (number) , firstname (text)", "shrink-score": 0.7272727272727273}
{"db_id": "music_2", "question": "What are the names of all songs produced by the artist with the first name \"Marianne\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | performance : bandmate (number) , songid (number) | band : id (number) , firstname (text)", "shrink-score": 0.7272727272727273}
{"db_id": "music_2", "question": "Who performed the song named \"Badlands\"? Show the first name and the last name.", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : firstname (text) , lastname (text) , id (number) | performance : bandmate (number) , songid (number) | songs : songid (number) , title (text)", "shrink-score": 0.6818181818181818}
{"db_id": "music_2", "question": "What are the first and last names of the artist who perfomed the song \"Badlands\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : firstname (text) , lastname (text) , id (number) | performance : bandmate (number) , songid (number) | songs : songid (number) , title (text)", "shrink-score": 0.6818181818181818}
{"db_id": "music_2", "question": "Who is performing in the back stage position for the song \"Badlands\"? Show the first name and the last name.", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : firstname (text) , lastname (text) , id (number) | performance : bandmate (number) , songid (number) , stageposition (text) | songs : songid (number) , title (text)", "shrink-score": 0.6363636363636364}
{"db_id": "music_2", "question": "What are the first and last names of the performer who was in the back stage position for the song \"Badlands\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : firstname (text) , lastname (text) , id (number) | performance : bandmate (number) , songid (number) , stageposition (text) | songs : songid (number) , title (text)", "shrink-score": 0.6363636363636364}
{"db_id": "music_2", "question": "How many unique labels are there for albums?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "albums : label (text)", "shrink-score": 0.9545454545454546}
{"db_id": "music_2", "question": "What are the unique labels for the albums?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "albums : label (text)", "shrink-score": 0.9545454545454546}
{"db_id": "music_2", "question": "What is the label that has the most albums?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "albums : label (text) , aid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "music_2", "question": "What is the label with the most albums?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "albums : label (text) , aid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "music_2", "question": "What is the last name of the musician that have produced the most number of songs?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : lastname (text) , id (number) | performance : bandmate (number) , songid (number) | songs : songid (number)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "What is the last name of the musician who was in the most songs?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : lastname (text) , id (number) | performance : bandmate (number) , songid (number) | songs : songid (number)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "What is the last name of the musician that has been at the back position the most?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : lastname (text) , id (number) | performance : bandmate (number) , stageposition (text) , songid (number)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "What is the last name of the musicians who has played back position the most?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : lastname (text) , id (number) | performance : bandmate (number) , stageposition (text) , songid (number)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "Find all the songs whose name contains the word \"the\".", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text)", "shrink-score": 0.9545454545454546}
{"db_id": "music_2", "question": "What are the names of the songs whose title has the word \"the\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text)", "shrink-score": 0.9545454545454546}
{"db_id": "music_2", "question": "What are all the instruments used?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text)", "shrink-score": 0.9545454545454546}
{"db_id": "music_2", "question": "What are the different instruments listed in the database?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text)", "shrink-score": 0.9545454545454546}
{"db_id": "music_2", "question": "What instrument did the musician with last name \"Heilo\" use in the song \"Le Pop\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , songid (number) , bandmateid (number) | performance : bandmate (number) , songid (number) | band : id (number) , lastname (text) | songs : songid (number) , title (text)", "shrink-score": 0.5909090909090909}
{"db_id": "music_2", "question": "What instruments did the musician with the last name \"Heilo\" play in the song \"Le Pop\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , songid (number) , bandmateid (number) | performance : bandmate (number) , songid (number) | band : id (number) , lastname (text) | songs : songid (number) , title (text)", "shrink-score": 0.5909090909090909}
{"db_id": "music_2", "question": "What is the most used instrument?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , songid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "music_2", "question": "What instrument is used the most?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , songid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "music_2", "question": "How many songs have used the instrument \"drums\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , songid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "music_2", "question": "How many songs use drums as an instrument?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , songid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "music_2", "question": "What instruments does the the song \"Le Pop\" use?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , songid (number) | songs : songid (number) , title (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "What are the instruments are used in the song \"Le Pop\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , songid (number) | songs : songid (number) , title (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "How many instruments does the song \"Le Pop\" use?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , songid (number) | songs : songid (number) , title (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "How many different instruments are used in the song \"Le Pop\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , songid (number) | songs : songid (number) , title (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "How many instrument does the musician with last name \"Heilo\" use?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , bandmateid (number) | band : id (number) , lastname (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "How many different instruments does the musician with the last name \"Heilo\" use?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , bandmateid (number) | band : id (number) , lastname (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "Find all the instruments ever used by the musician with last name \"Heilo\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , bandmateid (number) | band : id (number) , lastname (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "What are all the instruments used by the musician with the last name \"Heilo\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , bandmateid (number) | band : id (number) , lastname (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "Which song has the most vocals?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | vocals : songid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "music_2", "question": "What is the song with the most vocals?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | vocals : songid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "music_2", "question": "Which vocal type is the most frequently appearring type?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , songid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "music_2", "question": "What is the type of vocables that appears most frequently?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , songid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "music_2", "question": "Which vocal type has the band mate with last name \"Heilo\" played the most?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , bandmate (number) , songid (number) | band : id (number) , lastname (text)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "What is the type of vocals that the band member with the last name \"Heilo\" played the most?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , bandmate (number) , songid (number) | band : id (number) , lastname (text)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "What are the vocal types used in song \"Le Pop\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , songid (number) | songs : songid (number) , title (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "What are the types of vocals used in the song \"Le Pop\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , songid (number) | songs : songid (number) , title (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "Find the number of vocal types used in song \"Demon Kitty Rag\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : songid (number) , title (text) | vocals : songid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "music_2", "question": "What are the types of vocals used in the song \"Demon Kitty Rag\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : songid (number) , title (text) | vocals : songid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "music_2", "question": "How many songs have a lead vocal?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | vocals : songid (number) , type (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "How many songs have vocals of type lead?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | vocals : songid (number) , type (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "Which vocal type did the musician with first name \"Solveig\" played in the song with title \"A Bar in Amsterdam\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , songid (number) , bandmate (number) | songs : songid (number) , title (text) | band : id (number) , firstname (text)", "shrink-score": 0.6818181818181818}
{"db_id": "music_2", "question": "What are the types of vocals that the musician with the first name \"Solveig\" played in the song \"A Bar in Amsterdam\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , songid (number) , bandmate (number) | songs : songid (number) , title (text) | band : id (number) , firstname (text)", "shrink-score": 0.6818181818181818}
{"db_id": "music_2", "question": "Find all the songs that do not have a lead vocal.", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | vocals : songid (number) , type (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "What are the names of the songs without a lead vocal?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | vocals : songid (number) , type (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "Find all the vocal types.", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text)", "shrink-score": 0.9545454545454546}
{"db_id": "music_2", "question": "What are the different types of vocals?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text)", "shrink-score": 0.9545454545454546}
{"db_id": "music_2", "question": "What are the albums produced in year 2010?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "albums : year (number) , aid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "music_2", "question": "What information is there on albums from 2010?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "albums : year (number) , aid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "music_2", "question": "Who performed the song named \"Le Pop\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : firstname (text) , lastname (text) , id (number) | performance : bandmate (number) , songid (number) | songs : songid (number) , title (text)", "shrink-score": 0.6818181818181818}
{"db_id": "music_2", "question": "What is the first and last name of artist who performed \"Le Pop\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : firstname (text) , lastname (text) , id (number) | performance : bandmate (number) , songid (number) | songs : songid (number) , title (text)", "shrink-score": 0.6818181818181818}
{"db_id": "music_2", "question": "What is the last name of the musician that have produced the most songs?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : lastname (text) , id (number) | performance : bandmate (number) , songid (number) | songs : songid (number)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "What is the last name of the artist who sang the most songs?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : lastname (text) , id (number) | performance : bandmate (number) , songid (number) | songs : songid (number)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "What instrument did the musician with last name \"Heilo\" use in the song \"Badlands\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , songid (number) , bandmateid (number) | performance : bandmate (number) , songid (number) | band : id (number) , lastname (text) | songs : songid (number) , title (text)", "shrink-score": 0.5909090909090909}
{"db_id": "music_2", "question": "What instruments did the musician with the last name \"Heilo\" play in \"Badlands\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , songid (number) , bandmateid (number) | performance : bandmate (number) , songid (number) | band : id (number) , lastname (text) | songs : songid (number) , title (text)", "shrink-score": 0.5909090909090909}
{"db_id": "music_2", "question": "How many instruments does the song \"Badlands\" use?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , songid (number) | songs : songid (number) , title (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "How many different instruments are used in the song \"Badlands\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "instruments : instrument (text) , songid (number) | songs : songid (number) , title (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "What are the vocal types used in song \"Badlands\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , songid (number) | songs : songid (number) , title (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "What types of vocals are used in the song \"Badlands\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , songid (number) | songs : songid (number) , title (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "Find the number of vocal types used in song \"Le Pop\"", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : songid (number) , title (text) | vocals : songid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "music_2", "question": "How many vocal types are used in the song \"Le Pop\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : songid (number) , title (text) | vocals : songid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "music_2", "question": "How many songs have a shared vocal?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | vocals : songid (number) , type (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "How many different songs have shared vocals?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | vocals : songid (number) , type (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "Find all the songs that do not have a back vocal.", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | vocals : songid (number) , type (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "What are the different names of all songs without back vocals?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | vocals : songid (number) , type (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "Which vocal type has the band mate with first name \"Solveig\" played the most?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , bandmate (number) , songid (number) | band : id (number) , firstname (text)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "What are the types of vocals that the band member with the first name \"Solveig\" played the most?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , bandmate (number) , songid (number) | band : id (number) , firstname (text)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "Which vocal type did the musician with last name \"Heilo\" played in the song with title \"Der Kapitan\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , songid (number) , bandmate (number) | songs : songid (number) , title (text) | band : id (number) , lastname (text)", "shrink-score": 0.6818181818181818}
{"db_id": "music_2", "question": "What are the types of vocals that the musician with the last name \"Heilo\" played in \"Der Kapitan\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , songid (number) , bandmate (number) | songs : songid (number) , title (text) | band : id (number) , lastname (text)", "shrink-score": 0.6818181818181818}
{"db_id": "music_2", "question": "Find the first name of the band mate that has performed in most songs.", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : firstname (text) , id (number) | performance : bandmate (number) , songid (number) | songs : songid (number)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "What is the first name of the band mate who perfomed in the most songs?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : firstname (text) , id (number) | performance : bandmate (number) , songid (number) | songs : songid (number)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "Which vocal type has the band mate with first name \"Marianne\" played the most?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , bandmate (number) , songid (number) | band : id (number) , firstname (text)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "What is the vocal type of the band mate whose first name is \"Marianne\" played the most?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "vocals : type (text) , bandmate (number) , songid (number) | band : id (number) , firstname (text)", "shrink-score": 0.7727272727272727}
{"db_id": "music_2", "question": "Who is performing in the back stage position for the song \"Der Kapitan\"? Show the first name and last name.", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : firstname (text) , lastname (text) , id (number) | performance : bandmate (number) , songid (number) , stageposition (text) | songs : songid (number) , title (text)", "shrink-score": 0.6363636363636364}
{"db_id": "music_2", "question": "What is the first and last name of the artist who performed back stage for the song \"Der Kapitan\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "band : firstname (text) , lastname (text) , id (number) | performance : bandmate (number) , songid (number) , stageposition (text) | songs : songid (number) , title (text)", "shrink-score": 0.6363636363636364}
{"db_id": "music_2", "question": "Find the name of songs that does not have a back vocal.", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | vocals : songid (number) , type (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "What are the names of the songs that do not have back vocals?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | vocals : songid (number) , type (text)", "shrink-score": 0.8181818181818182}
{"db_id": "music_2", "question": "What are the songs in album \"A Kiss Before You Go: Live in Hamburg\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | albums : title (text) , aid (number) | tracklists : albumid (number) , songid (number)", "shrink-score": 0.7272727272727273}
{"db_id": "music_2", "question": "What are the song titles on the album \"A Kiss Before You Go: Live in Hamburg\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | albums : title (text) , aid (number) | tracklists : albumid (number) , songid (number)", "shrink-score": 0.7272727272727273}
{"db_id": "music_2", "question": "What are all the songs in albums under label \"Universal Music Group\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | albums : title (text) , aid (number) , label (text) | tracklists : albumid (number) , songid (number)", "shrink-score": 0.6818181818181818}
{"db_id": "music_2", "question": "What are the names of all the songs whose album is under the label of \"Universal Music Group\"?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | albums : title (text) , aid (number) , label (text) | tracklists : albumid (number) , songid (number)", "shrink-score": 0.6818181818181818}
{"db_id": "music_2", "question": "Find the number of songs in all the studio albums.", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | albums : title (text) , aid (number) , type (text) | tracklists : albumid (number) , songid (number)", "shrink-score": 0.6818181818181818}
{"db_id": "music_2", "question": "How many songs appear in studio albums?", "schema": "songs : songid (number) , title (text) | albums : aid (number) , title (text) , year (number) , label (text) , type (text) | band : id (number) , firstname (text) , lastname (text) | instruments : songid (number) , bandmateid (number) , instrument (text) | performance : songid (number) , bandmate (number) , stageposition (text) | tracklists : albumid (number) , position (number) , songid (number) | vocals : songid (number) , bandmate (number) , type (text)", "summarized-schema": "songs : title (text) , songid (number) | albums : title (text) , aid (number) , type (text) | tracklists : albumid (number) , songid (number)", "shrink-score": 0.6818181818181818}
{"db_id": "manufactory_1", "question": "Who is the founder of Sony?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : founder (text) , name (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Return the founder of Sony.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : founder (text) , name (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Where is the headquarter of the company founded by James?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : headquarter (text) , founder (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What is the headquarter of the company whose founder is James?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : headquarter (text) , founder (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Find all manufacturers' names and their headquarters, sorted by the ones with highest revenue first.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , headquarter (text) , revenue (number)", "shrink-score": 0.6666666666666666}
{"db_id": "manufactory_1", "question": "What are the names and headquarters of all manufacturers, ordered by revenue descending?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , headquarter (text) , revenue (number)", "shrink-score": 0.6666666666666666}
{"db_id": "manufactory_1", "question": "What are the average, maximum and total revenues of all companies?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : revenue (number)", "shrink-score": 0.8888888888888888}
{"db_id": "manufactory_1", "question": "Return the average, maximum, and total revenues across all manufacturers.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : revenue (number)", "shrink-score": 0.8888888888888888}
{"db_id": "manufactory_1", "question": "How many companies were created by Andy?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : founder (text) , code (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Return the number of companies created by Andy.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : founder (text) , code (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Find the total revenue created by the companies whose headquarter is located at Austin.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : revenue (number) , headquarter (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What is the sum of revenue from companies with headquarters in Austin?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : revenue (number) , headquarter (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What are the different cities listed?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : headquarter (text)", "shrink-score": 0.8888888888888888}
{"db_id": "manufactory_1", "question": "Give the distinct headquarters of manufacturers.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : headquarter (text)", "shrink-score": 0.8888888888888888}
{"db_id": "manufactory_1", "question": "Find the number of manufactures that are based in Tokyo or Beijing.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : headquarter (text) , code (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "How many manufacturers have headquarters in either Tokyo or Beijing?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : headquarter (text) , code (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Find the founder of the company whose name begins with the letter 'S'.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : founder (text) , name (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Who is the founders of companies whose first letter is S?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : founder (text) , name (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Find the name of companies whose revenue is between 100 and 150.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , revenue (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What are the names of companies with revenue between 100 and 150?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , revenue (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What is the total revenue of all companies whose main office is at Tokyo or Taiwan?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : revenue (number) , headquarter (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Return the total revenue of companies with headquarters in Tokyo or Taiwan.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : revenue (number) , headquarter (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Find the name of product that is produced by both companies Creative Labs and Sony.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , code (number) | products : name (text) , manufacturer (number) , code (number)", "shrink-score": 0.4444444444444444}
{"db_id": "manufactory_1", "question": "What are the names of products produced by both Creative Labs and Sony?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , code (number) | products : name (text) , manufacturer (number) , code (number)", "shrink-score": 0.4444444444444444}
{"db_id": "manufactory_1", "question": "Find the name, headquarter and founder of the manufacturer that has the highest revenue.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , headquarter (text) , founder (text) , revenue (number)", "shrink-score": 0.5555555555555556}
{"db_id": "manufactory_1", "question": "What are the names, headquarters and founders of the company with the highest revenue?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , headquarter (text) , founder (text) , revenue (number)", "shrink-score": 0.5555555555555556}
{"db_id": "manufactory_1", "question": "Find the name, headquarter and revenue of all manufacturers sorted by their revenue in the descending order.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , headquarter (text) , revenue (number)", "shrink-score": 0.6666666666666666}
{"db_id": "manufactory_1", "question": "What are the names, headquarters and revenues for manufacturers, sorted by revenue descending?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , headquarter (text) , revenue (number)", "shrink-score": 0.6666666666666666}
{"db_id": "manufactory_1", "question": "Find the name of companies whose revenue is greater than the average revenue of all companies.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , revenue (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What are the names of manufacturers with revenue greater than the average of all revenues?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , revenue (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Find the name of companies whose revenue is smaller than the revenue of all companies based in Austin.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , revenue (number) , headquarter (text)", "shrink-score": 0.6666666666666666}
{"db_id": "manufactory_1", "question": "What are the names of companies with revenue less than the lowest revenue of any manufacturer in Austin?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , revenue (number) , headquarter (text)", "shrink-score": 0.6666666666666666}
{"db_id": "manufactory_1", "question": "Find the total revenue of companies whose revenue is larger than the revenue of some companies based in Austin.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : revenue (number) , headquarter (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What is the total revenue of companies with revenue greater than the lowest revenue of any manufacturer in Austin?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : revenue (number) , headquarter (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Find the total revenue of companies of each founder.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : revenue (number) , founder (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What is the total revenue of companies started by founder?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : revenue (number) , founder (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Find the name and revenue of the company that earns the highest revenue in each city.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , revenue (number) , headquarter (text)", "shrink-score": 0.6666666666666666}
{"db_id": "manufactory_1", "question": "What are the names and revenues of the companies with the highest revenues in each headquarter city?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , revenue (number) , headquarter (text)", "shrink-score": 0.6666666666666666}
{"db_id": "manufactory_1", "question": "Find the total revenue for each manufacturer.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : revenue (number) , name (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What is the total revenue of each manufacturer?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : revenue (number) , name (text)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Find the average prices of all products from each manufacture, and list each company's name.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number) , name (text) , manufacturer (number) , code (number) | manufacturers : name (text) , code (number)", "shrink-score": 0.3333333333333333}
{"db_id": "manufactory_1", "question": "What are the average prices of products for each manufacturer?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number) , name (text) , manufacturer (number) , code (number) | manufacturers : name (text) , code (number)", "shrink-score": 0.3333333333333333}
{"db_id": "manufactory_1", "question": "Find the number of different products that are produced by companies at different headquarter cities.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , headquarter (text) , code (number) | products : name (text) , manufacturer (number) , code (number)", "shrink-score": 0.3333333333333333}
{"db_id": "manufactory_1", "question": "How many different products are produced in each headquarter city?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , headquarter (text) , code (number) | products : name (text) , manufacturer (number) , code (number)", "shrink-score": 0.3333333333333333}
{"db_id": "manufactory_1", "question": "Find number of products which Sony does not make.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , code (number) | products : name (text) , manufacturer (number) , code (number)", "shrink-score": 0.4444444444444444}
{"db_id": "manufactory_1", "question": "How many products are not made by Sony?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , code (number) | products : name (text) , manufacturer (number) , code (number)", "shrink-score": 0.4444444444444444}
{"db_id": "manufactory_1", "question": "Find the name of companies that do not make DVD drive.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , code (number) | products : name (text) , manufacturer (number) , code (number)", "shrink-score": 0.4444444444444444}
{"db_id": "manufactory_1", "question": "What are the names of companies that do not make DVD drives?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , code (number) | products : name (text) , manufacturer (number) , code (number)", "shrink-score": 0.4444444444444444}
{"db_id": "manufactory_1", "question": "Find the number of products for each manufacturer, showing the name of each company.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , code (number) | products : name (text) , manufacturer (number) , code (number)", "shrink-score": 0.4444444444444444}
{"db_id": "manufactory_1", "question": "How many products are there for each manufacturer?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , code (number) | products : name (text) , manufacturer (number) , code (number)", "shrink-score": 0.4444444444444444}
{"db_id": "manufactory_1", "question": "Select the names of all the products in the store.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : name (text)", "shrink-score": 0.8888888888888888}
{"db_id": "manufactory_1", "question": "What are the names of all products?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : name (text)", "shrink-score": 0.8888888888888888}
{"db_id": "manufactory_1", "question": "Select the names and the prices of all the products in the store.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : name (text) , price (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What are the names and prices of all products in the store?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : name (text) , price (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Select the name of the products with a price less than or equal to $200.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : name (text) , price (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What are the names of products with price at most 200?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : name (text) , price (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Find all information of all the products with a price between $60 and $120.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number) , code (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What is all the information of all the products that have a price between 60 and 120?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number) , code (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Compute the average price of all the products.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number)", "shrink-score": 0.8888888888888888}
{"db_id": "manufactory_1", "question": "What is the average price across all products?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number)", "shrink-score": 0.8888888888888888}
{"db_id": "manufactory_1", "question": "Compute the average price of all products with manufacturer code equal to 2.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number) , manufacturer (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What is the average price of products with manufacturer codes equal to 2?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number) , manufacturer (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Compute the number of products with a price larger than or equal to $180.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number) , code (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "How many products have prices of at least 180?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number) , code (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Select the name and price of all products with a price larger than or equal to $180, and sort first by price (in descending order), and then by name  (in ascending order).", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : name (text) , price (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What are the names and prices of products that cost at least 180, sorted by price decreasing and name ascending?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : name (text) , price (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Select all the data from the products and each product's manufacturer.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : manufacturer (number) , code (number) | manufacturers : code (number)", "shrink-score": 0.6666666666666666}
{"db_id": "manufactory_1", "question": "What is all the product data, as well as  each product's manufacturer?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : manufacturer (number) , code (number) | manufacturers : code (number)", "shrink-score": 0.6666666666666666}
{"db_id": "manufactory_1", "question": "Select the average price of each manufacturer's products, showing only the manufacturer's code.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number) , manufacturer (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What are the average prices of products, grouped by manufacturer code?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number) , manufacturer (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Select the average price of each manufacturer's products, showing the manufacturer's name.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number) , name (text) , manufacturer (number) , code (number) | manufacturers : name (text) , code (number)", "shrink-score": 0.3333333333333333}
{"db_id": "manufactory_1", "question": "What are the average prices of products, grouped by manufacturer name?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number) , name (text) , manufacturer (number) , code (number) | manufacturers : name (text) , code (number)", "shrink-score": 0.3333333333333333}
{"db_id": "manufactory_1", "question": "Select the names of manufacturer whose products have an average price higher than or equal to $150.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number) , name (text) , manufacturer (number) , code (number) | manufacturers : name (text) , code (number)", "shrink-score": 0.3333333333333333}
{"db_id": "manufactory_1", "question": "What are the names and average prices of products for manufacturers whose products cost on average 150 or more?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : price (number) , name (text) , manufacturer (number) , code (number) | manufacturers : name (text) , code (number)", "shrink-score": 0.3333333333333333}
{"db_id": "manufactory_1", "question": "Select the name and price of the cheapest product.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : name (text) , price (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "What is the name and price of the cheapest product?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : name (text) , price (number)", "shrink-score": 0.7777777777777778}
{"db_id": "manufactory_1", "question": "Select the name of each manufacturer along with the name and price of its most expensive product.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , code (number) | products : name (text) , price (number) , manufacturer (number) , code (number)", "shrink-score": 0.3333333333333333}
{"db_id": "manufactory_1", "question": "For each manufacturer name, what are the names and prices of their most expensive product?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "manufacturers : name (text) , code (number) | products : name (text) , price (number) , manufacturer (number) , code (number)", "shrink-score": 0.3333333333333333}
{"db_id": "manufactory_1", "question": "Select the code of the product that is cheapest in each product category.", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : code (number) , name (text) , price (number)", "shrink-score": 0.6666666666666666}
{"db_id": "manufactory_1", "question": "What are the codes and names of the cheapest products in each category?", "schema": "manufacturers : code (number) , name (text) , headquarter (text) , founder (text) , revenue (number) | products : code (number) , name (text) , price (number) , manufacturer (number)", "summarized-schema": "products : code (number) , name (text) , price (number)", "shrink-score": 0.6666666666666666}
{"db_id": "tracking_software_problems", "question": "What is the id of the problem log that is created most recently?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problem_log : problem_log_id (number) , log_entry_date (time)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_software_problems", "question": "Which problem log was created most recently? Give me the log id.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problem_log : problem_log_id (number) , log_entry_date (time)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_software_problems", "question": "What is the oldest log id and its corresponding problem id?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problem_log : problem_log_id (number) , problem_id (number) , log_entry_date (time)", "shrink-score": 0.8928571428571429}
{"db_id": "tracking_software_problems", "question": "Find the oldest log id and its corresponding problem id.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problem_log : problem_log_id (number) , problem_id (number) , log_entry_date (time)", "shrink-score": 0.8928571428571429}
{"db_id": "tracking_software_problems", "question": "Find all the ids and dates of the logs for the problem whose id is 10.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problem_log : problem_log_id (number) , log_entry_date (time) , problem_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "tracking_software_problems", "question": "For the problem with id 10, return the ids and dates of its problem logs.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problem_log : problem_log_id (number) , log_entry_date (time) , problem_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "tracking_software_problems", "question": "List all the log ids and their descriptions from the problem logs.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problem_log : problem_log_id (number) , log_entry_description (text)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_software_problems", "question": "What are the log id and entry description of each problem?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problem_log : problem_log_id (number) , log_entry_description (text)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_software_problems", "question": "List the first and last names of all distinct staff members who are assigned to the problem whose id is 1.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "staff : staff_first_name (text) , staff_last_name (text) , staff_id (number) | problem_log : assigned_to_staff_id (number) , problem_id (number)", "shrink-score": 0.8214285714285714}
{"db_id": "tracking_software_problems", "question": "Which staff members are assigned to the problem with id 1? Give me their first and last names.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "staff : staff_first_name (text) , staff_last_name (text) , staff_id (number) | problem_log : assigned_to_staff_id (number) , problem_id (number)", "shrink-score": 0.8214285714285714}
{"db_id": "tracking_software_problems", "question": "List the problem id and log id which are assigned to the staff named Rylan Homenick.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problem_log : problem_id (number) , problem_log_id (number) , assigned_to_staff_id (number) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text)", "shrink-score": 0.7857142857142857}
{"db_id": "tracking_software_problems", "question": "Which problem id and log id are assigned to the staff named Rylan Homenick?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problem_log : problem_id (number) , problem_log_id (number) , assigned_to_staff_id (number) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text)", "shrink-score": 0.7857142857142857}
{"db_id": "tracking_software_problems", "question": "How many problems are there for product voluptatem?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_id (number) , product_name (text) | problems : product_id (number) , problem_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_software_problems", "question": "How many problems did the product called \"voluptatem\" have in record?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_id (number) , product_name (text) | problems : product_id (number) , problem_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_software_problems", "question": "How many problems does the product with the most problems have? List the number of the problems and product name.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_name (text) , product_id (number) | problems : product_id (number) , problem_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_software_problems", "question": "Which product has the most problems? Give me the number of problems and the product name.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_name (text) , product_id (number) | problems : product_id (number) , problem_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_software_problems", "question": "Give me a list of descriptions of the problems that are reported by the staff whose first name is Christop.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : problem_description (text) , reported_by_staff_id (number) | staff : staff_id (number) , staff_first_name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_software_problems", "question": "Which problems are reported by the staff with first name \"Christop\"? Show the descriptions of the problems.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : problem_description (text) , reported_by_staff_id (number) | staff : staff_id (number) , staff_first_name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_software_problems", "question": "Find the ids of the problems that are reported by the staff whose last name is Bosco.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : problem_id (number) , reported_by_staff_id (number) | staff : staff_id (number) , staff_last_name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_software_problems", "question": "Which problems are reported by the staff with last name \"Bosco\"? Show the ids of the problems.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : problem_id (number) , reported_by_staff_id (number) | staff : staff_id (number) , staff_last_name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_software_problems", "question": "What are the ids of the problems which are reported after 1978-06-26?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : problem_id (number) , date_problem_reported (time)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_software_problems", "question": "Find the ids of the problems reported after 1978-06-26.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : problem_id (number) , date_problem_reported (time)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_software_problems", "question": "What are the ids of the problems which are reported before 1978-06-26?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : problem_id (number) , date_problem_reported (time)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_software_problems", "question": "Which problems are reported before 1978-06-26? Give me the ids of the problems.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : problem_id (number) , date_problem_reported (time)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_software_problems", "question": "For each product which has problems, what are the number of problems and the product id?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_id (number) | problems : product_id (number) , problem_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "tracking_software_problems", "question": "For each product with some problems, list the count of problems and the product id.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_id (number) | problems : product_id (number) , problem_id (number)", "shrink-score": 0.8928571428571429}
{"db_id": "tracking_software_problems", "question": "For each product that has problems, find the number of problems reported after 1986-11-13 and the product id?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_id (number) | problems : product_id (number) , date_problem_reported (time) , problem_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_software_problems", "question": "What are the products that have problems reported after 1986-11-13? Give me the product id and the count of problems reported after 1986-11-13.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_id (number) | problems : product_id (number) , date_problem_reported (time) , problem_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_software_problems", "question": "List the names of all the distinct product names in alphabetical order?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_name (text)", "shrink-score": 0.9642857142857143}
{"db_id": "tracking_software_problems", "question": "Sort all the distinct product names in alphabetical order.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_name (text)", "shrink-score": 0.9642857142857143}
{"db_id": "tracking_software_problems", "question": "List all the distinct product names ordered by product id?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_name (text) , product_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_software_problems", "question": "What is the list of distinct product names sorted by product id?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_name (text) , product_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "tracking_software_problems", "question": "What are the id of problems reported by the staff named Dameon Frami or Jolie Weber?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : product_id (number) , reported_by_staff_id (number) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text)", "shrink-score": 0.8214285714285714}
{"db_id": "tracking_software_problems", "question": "Which problems were reported by the staff named Dameon Frami or Jolie Weber? Give me the ids of the problems.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : product_id (number) , reported_by_staff_id (number) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text)", "shrink-score": 0.8214285714285714}
{"db_id": "tracking_software_problems", "question": "What are the product ids for the problems reported by Christop Berge with closure authorised by Ashley Medhurst?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : product_id (number) , reported_by_staff_id (number) , closure_authorised_by_staff_id (number) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text)", "shrink-score": 0.7857142857142857}
{"db_id": "tracking_software_problems", "question": "For which product was there a problem reported by Christop Berge, with closure authorised by Ashley Medhurst? Return the product ids.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : product_id (number) , reported_by_staff_id (number) , closure_authorised_by_staff_id (number) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text)", "shrink-score": 0.7857142857142857}
{"db_id": "tracking_software_problems", "question": "What are the ids of the problems reported before the date of any problem reported by Lysanne Turcotte?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : problem_id (number) , reported_by_staff_id (number) , date_problem_reported (time) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text)", "shrink-score": 0.7857142857142857}
{"db_id": "tracking_software_problems", "question": "Which problems were reported before the date of any problem reported by the staff Lysanne Turcotte? Give me the ids of the problems.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : problem_id (number) , reported_by_staff_id (number) , date_problem_reported (time) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text)", "shrink-score": 0.7857142857142857}
{"db_id": "tracking_software_problems", "question": "What are the ids of the problems reported after the date of any problems reported by Rylan Homenick?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : problem_id (number) , reported_by_staff_id (number) , date_problem_reported (time) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text)", "shrink-score": 0.7857142857142857}
{"db_id": "tracking_software_problems", "question": "Find the ids of the problems reported after the date of any problems reported by the staff Rylan Homenick.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : problem_id (number) , reported_by_staff_id (number) , date_problem_reported (time) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text)", "shrink-score": 0.7857142857142857}
{"db_id": "tracking_software_problems", "question": "Find the top 3 products which have the largest number of problems?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_name (text) , product_id (number) | problems : product_id (number) , problem_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_software_problems", "question": "What are the three products that have the most problems?s", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_name (text) , product_id (number) | problems : product_id (number) , problem_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "tracking_software_problems", "question": "List the ids of the problems from the product \"voluptatem\" that are reported after 1995?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : problem_id (number) , product_id (number) , date_problem_reported (time) | product : product_id (number) , product_name (text)", "shrink-score": 0.8214285714285714}
{"db_id": "tracking_software_problems", "question": "What are the ids of the problems that are from the product \"voluptatem\" and are reported after 1995?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "problems : problem_id (number) , product_id (number) , date_problem_reported (time) | product : product_id (number) , product_name (text)", "shrink-score": 0.8214285714285714}
{"db_id": "tracking_software_problems", "question": "Find the first and last name of the staff members who reported problems from the product \"rem\" but not \"aut\"?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "staff : staff_first_name (text) , staff_last_name (text) , staff_id (number) | product : product_id (number) , product_name (text) | problems : product_id (number) , reported_by_staff_id (number)", "shrink-score": 0.75}
{"db_id": "tracking_software_problems", "question": "Which staff members who reported problems from the product \"rem\" but not \"aut\"? Give me their first and last names.", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "staff : staff_first_name (text) , staff_last_name (text) , staff_id (number) | product : product_id (number) , product_name (text) | problems : product_id (number) , reported_by_staff_id (number)", "shrink-score": 0.75}
{"db_id": "tracking_software_problems", "question": "Find the products which have problems reported by both Lacey Bosco and Kenton Champlin?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_name (text) , product_id (number) | problems : product_id (number) , reported_by_staff_id (number) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text)", "shrink-score": 0.75}
{"db_id": "tracking_software_problems", "question": "Which products have problems reported by both the staff named Lacey Bosco and the staff named Kenton Champlin?", "schema": "problem_category_codes : problem_category_code (text) , problem_category_description (text) | problem_log : problem_log_id (number) , assigned_to_staff_id (number) , problem_id (number) , problem_category_code (text) , problem_status_code (text) , log_entry_date (time) , log_entry_description (text) , log_entry_fix (text) , other_log_details (text) | problem_status_codes : problem_status_code (text) , problem_status_description (text) | product : product_id (number) , product_name (text) , product_details (text) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text) , other_staff_details (text) | problems : problem_id (number) , product_id (number) , closure_authorised_by_staff_id (number) , reported_by_staff_id (number) , date_problem_reported (time) , date_problem_closed (time) , problem_description (text) , other_problem_details (text)", "summarized-schema": "product : product_name (text) , product_id (number) | problems : product_id (number) , reported_by_staff_id (number) | staff : staff_id (number) , staff_first_name (text) , staff_last_name (text)", "shrink-score": 0.75}
{"db_id": "shop_membership", "question": "How many branches where have more than average number of memberships are there?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : membership_amount (text) , branch_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "shop_membership", "question": "What is the number of branches that have more than the average number of memberships?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : membership_amount (text) , branch_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "shop_membership", "question": "Show name, address road, and city for all branches sorted by open year.", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : name (text) , address_road (text) , city (text) , open_year (text)", "shrink-score": 0.7777777777777778}
{"db_id": "shop_membership", "question": "What are the names, address roads, and cities of the branches ordered by opening year?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : name (text) , address_road (text) , city (text) , open_year (text)", "shrink-score": 0.7777777777777778}
{"db_id": "shop_membership", "question": "What are names for top three branches with most number of membership?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : name (text) , membership_amount (text)", "shrink-score": 0.8888888888888888}
{"db_id": "shop_membership", "question": "What are the names for the 3 branches that have the most memberships?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : name (text) , membership_amount (text)", "shrink-score": 0.8888888888888888}
{"db_id": "shop_membership", "question": "Show all distinct city where branches with at least 100 memberships are located.", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : city (text) , membership_amount (text)", "shrink-score": 0.8888888888888888}
{"db_id": "shop_membership", "question": "What are the different cities that have more than 100 memberships?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : city (text) , membership_amount (text)", "shrink-score": 0.8888888888888888}
{"db_id": "shop_membership", "question": "List all open years when at least two shops are opened.", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : open_year (text) , branch_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "shop_membership", "question": "What are the opening years in which at least two shops opened?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : open_year (text) , branch_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "shop_membership", "question": "Show minimum and maximum amount of memberships for all branches opened in 2011 or located at city London.", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : membership_amount (text) , open_year (text) , city (text)", "shrink-score": 0.8333333333333334}
{"db_id": "shop_membership", "question": "What are the minimum and maximum membership amounts for all branches that either opened in 2011 or are located in London?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : membership_amount (text) , open_year (text) , city (text)", "shrink-score": 0.8333333333333334}
{"db_id": "shop_membership", "question": "Show the city and the number of branches opened before 2010 for each city.", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : city (text) , open_year (text) , branch_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "shop_membership", "question": "For each city, how many branches opened before 2010?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : city (text) , open_year (text) , branch_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "shop_membership", "question": "How many different levels do members have?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : level (number)", "shrink-score": 0.9444444444444444}
{"db_id": "shop_membership", "question": "What are the different membership levels?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : level (number)", "shrink-score": 0.9444444444444444}
{"db_id": "shop_membership", "question": "Show card number, name, and hometown for all members in a descending order of level.", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : card_number (text) , name (text) , hometown (text) , level (number)", "shrink-score": 0.7777777777777778}
{"db_id": "shop_membership", "question": "What are the card numbers, names, and hometowns of every member ordered by descending level?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : card_number (text) , name (text) , hometown (text) , level (number)", "shrink-score": 0.7777777777777778}
{"db_id": "shop_membership", "question": "Show the membership level with most number of members.", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : level (number) , member_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "shop_membership", "question": "What is the membership level with the most people?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : level (number) , member_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "shop_membership", "question": "Show all member names and registered branch names sorted by register year.", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : name (text) , member_id (number) | branch : name (text) , branch_id (number) | membership_register_branch : branch_id (text) , member_id (number) , register_year (text)", "shrink-score": 0.6111111111111112}
{"db_id": "shop_membership", "question": "What are the names of the members and branches at which they are registered sorted by year of registration?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : name (text) , member_id (number) | branch : name (text) , branch_id (number) | membership_register_branch : branch_id (text) , member_id (number) , register_year (text)", "shrink-score": 0.6111111111111112}
{"db_id": "shop_membership", "question": "Show all branch names with the number of members in each branch registered after 2015.", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : name (text) , branch_id (number) | membership_register_branch : branch_id (text) , register_year (text) , member_id (number)", "shrink-score": 0.7222222222222222}
{"db_id": "shop_membership", "question": "For each branch id, what are the names of the branches that were registered after 2015?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : name (text) , branch_id (number) | membership_register_branch : branch_id (text) , register_year (text) , member_id (number)", "shrink-score": 0.7222222222222222}
{"db_id": "shop_membership", "question": "Show member names without any registered branch.", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : name (text) , member_id (number) | membership_register_branch : member_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "shop_membership", "question": "What are the names of the members that have never registered at any branch?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : name (text) , member_id (number) | membership_register_branch : member_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "shop_membership", "question": "List the branch name and city without any registered members.", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : name (text) , city (text) , branch_id (number) | membership_register_branch : branch_id (text)", "shrink-score": 0.7777777777777778}
{"db_id": "shop_membership", "question": "What are the names and cities of the branches that do not have any registered members?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : name (text) , city (text) , branch_id (number) | membership_register_branch : branch_id (text)", "shrink-score": 0.7777777777777778}
{"db_id": "shop_membership", "question": "What is the name and open year for the branch with most number of memberships registered in 2016?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : name (text) , open_year (text) , branch_id (number) | membership_register_branch : branch_id (text) , register_year (text) , member_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "shop_membership", "question": "What is the name and opening year for the branch that registered the most members in 2016?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : name (text) , open_year (text) , branch_id (number) | membership_register_branch : branch_id (text) , register_year (text) , member_id (number)", "shrink-score": 0.6666666666666666}
{"db_id": "shop_membership", "question": "Show the member name and hometown who registered a branch in 2016.", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : name (text) , hometown (text) , member_id (number) | membership_register_branch : member_id (number) , register_year (text)", "shrink-score": 0.7222222222222222}
{"db_id": "shop_membership", "question": "What are the member names and hometowns of those who registered at a branch in 2016?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : name (text) , hometown (text) , member_id (number) | membership_register_branch : member_id (number) , register_year (text)", "shrink-score": 0.7222222222222222}
{"db_id": "shop_membership", "question": "Show all city with a branch opened in 2001 and a branch with more than 100 membership.", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : city (text) , open_year (text) , membership_amount (text)", "shrink-score": 0.8333333333333334}
{"db_id": "shop_membership", "question": "What are the cities that have a branch that opened in 2001 and a branch with more than 100 members?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : city (text) , open_year (text) , membership_amount (text)", "shrink-score": 0.8333333333333334}
{"db_id": "shop_membership", "question": "Show all cities without a branch having more than 100 memberships.", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : city (text) , membership_amount (text)", "shrink-score": 0.8888888888888888}
{"db_id": "shop_membership", "question": "What are the cities that do not have any branches with more than 100 members?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "branch : city (text) , membership_amount (text)", "shrink-score": 0.8888888888888888}
{"db_id": "shop_membership", "question": "What is the sum of total pounds of purchase in year 2018 for all branches in London?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "purchase : total_pounds (number) , branch_id (text) , year (text) | branch : branch_id (number) , city (text)", "shrink-score": 0.7222222222222222}
{"db_id": "shop_membership", "question": "How many total pounds were purchased in the year 2018 at all London branches?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "purchase : total_pounds (number) , branch_id (text) , year (text) | branch : branch_id (number) , city (text)", "shrink-score": 0.7222222222222222}
{"db_id": "shop_membership", "question": "What is the total number of purchases for members with level 6?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : member_id (number) , level (number) | purchase : member_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "shop_membership", "question": "What are the total purchases for members rated at level 6?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : member_id (number) , level (number) | purchase : member_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "shop_membership", "question": "Find the name of branches where have some members whose hometown is in Louisville, Kentucky and some in Hiram, Georgia.", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : name (text) , member_id (number) , hometown (text) | branch : name (text) , branch_id (number) | membership_register_branch : branch_id (text) , member_id (number)", "shrink-score": 0.6111111111111112}
{"db_id": "shop_membership", "question": "What are the names of the branches that have some members with a hometown in Louisville, Kentucky and also those from Hiram, Goergia?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : name (text) , member_id (number) , hometown (text) | branch : name (text) , branch_id (number) | membership_register_branch : branch_id (text) , member_id (number)", "shrink-score": 0.6111111111111112}
{"db_id": "shop_membership", "question": "list the card number of all members whose hometown address includes word \"Kentucky\".", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : card_number (text) , hometown (text)", "shrink-score": 0.8888888888888888}
{"db_id": "shop_membership", "question": "What are the card numbers of members from Kentucky?", "schema": "member : member_id (number) , card_number (text) , name (text) , hometown (text) , level (number) | branch : branch_id (number) , name (text) , open_year (text) , address_road (text) , city (text) , membership_amount (text) | membership_register_branch : member_id (number) , branch_id (text) , register_year (text) | purchase : member_id (number) , branch_id (text) , year (text) , total_pounds (number)", "summarized-schema": "member : card_number (text) , hometown (text)", "shrink-score": 0.8888888888888888}
{"db_id": "voter_2", "question": "Find the number of students in total.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : stuid (number)", "shrink-score": 0.9411764705882353}
{"db_id": "voter_2", "question": "How many students are there in total?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : stuid (number)", "shrink-score": 0.9411764705882353}
{"db_id": "voter_2", "question": "Find the distinct number of president votes.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "voting_record : president_vote (number)", "shrink-score": 0.9411764705882353}
{"db_id": "voter_2", "question": "How many distinct president votes are recorded?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "voting_record : president_vote (number)", "shrink-score": 0.9411764705882353}
{"db_id": "voter_2", "question": "Find the maximum age of all the students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : age (number)", "shrink-score": 0.9411764705882353}
{"db_id": "voter_2", "question": "What is the oldest age among the students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : age (number)", "shrink-score": 0.9411764705882353}
{"db_id": "voter_2", "question": "Find the last names of students with major 50.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : lname (text) , major (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "What are the last names of students studying major 50?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : lname (text) , major (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Find the first names of students with age above 22.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : fname (text) , age (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "What are the first names of all the students aged above 22?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : fname (text) , age (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "What are the majors of male (sex is M) students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : major (number) , sex (text)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "List the major of each male student.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : major (number) , sex (text)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "What is the average age of female (sex is F) students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : age (number) , sex (text)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Find the average age of female students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : age (number) , sex (text)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "What are the maximum and minimum age of students with major 600?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : age (number) , major (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Tell me the ages of the oldest and youngest students studying major 600.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : age (number) , major (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Who are the advisors for students that live in a city with city code \"BAL\"?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : advisor (number) , city_code (text)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Show the advisors of the students whose city of residence has city code \"BAL\".", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : advisor (number) , city_code (text)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "What are the distinct secretary votes in the fall election cycle?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "voting_record : secretary_vote (number) , election_cycle (text)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Return all the distinct secretary votes made in the fall election cycle.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "voting_record : secretary_vote (number) , election_cycle (text)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "What are the distinct president votes on 08/30/2015?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "voting_record : president_vote (number) , registration_date (text)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Show all the distinct president votes made on 08/30/2015.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "voting_record : president_vote (number) , registration_date (text)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Report the distinct registration date and the election cycle.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "voting_record : registration_date (text) , election_cycle (text)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "What are the distinct registration dates and the election cycles?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "voting_record : registration_date (text) , election_cycle (text)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Report the distinct president vote and the vice president vote.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "voting_record : president_vote (number) , vice_president_vote (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "List all the distinct president votes and the vice president votes.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "voting_record : president_vote (number) , vice_president_vote (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Find the distinct last names of the students who have class president votes.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : lname (text) , stuid (number) | voting_record : stuid (number) , class_president_vote (number)", "shrink-score": 0.7647058823529411}
{"db_id": "voter_2", "question": "What are the distinct last names of the students who have class president votes?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : lname (text) , stuid (number) | voting_record : stuid (number) , class_president_vote (number)", "shrink-score": 0.7647058823529411}
{"db_id": "voter_2", "question": "Find the distinct first names of the students who have class senator votes.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : fname (text) , stuid (number) | voting_record : stuid (number) , class_senator_vote (number)", "shrink-score": 0.7647058823529411}
{"db_id": "voter_2", "question": "What are the distinct first names of the students who have class president votes?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : fname (text) , stuid (number) | voting_record : stuid (number) , class_senator_vote (number)", "shrink-score": 0.7647058823529411}
{"db_id": "voter_2", "question": "Find the distinct ages of students who have secretary votes in the fall election cycle.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : age (number) , stuid (number) | voting_record : stuid (number) , secretary_vote (number) , election_cycle (text)", "shrink-score": 0.7058823529411765}
{"db_id": "voter_2", "question": "What are the distinct ages of students who have secretary votes in the fall election cycle?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : age (number) , stuid (number) | voting_record : stuid (number) , secretary_vote (number) , election_cycle (text)", "shrink-score": 0.7058823529411765}
{"db_id": "voter_2", "question": "Find the distinct Advisor of students who have treasurer votes in the spring election cycle.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : advisor (number) , stuid (number) | voting_record : stuid (number) , treasurer_vote (number) , election_cycle (text)", "shrink-score": 0.7058823529411765}
{"db_id": "voter_2", "question": "Who served as an advisor for students who have treasurer votes in the spring election cycle?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : advisor (number) , stuid (number) | voting_record : stuid (number) , treasurer_vote (number) , election_cycle (text)", "shrink-score": 0.7058823529411765}
{"db_id": "voter_2", "question": "Find the distinct majors of students who have treasurer votes.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : major (number) , stuid (number) | voting_record : stuid (number) , treasurer_vote (number)", "shrink-score": 0.7647058823529411}
{"db_id": "voter_2", "question": "What are the distinct majors that students with treasurer votes are studying?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : major (number) , stuid (number) | voting_record : stuid (number) , treasurer_vote (number)", "shrink-score": 0.7647058823529411}
{"db_id": "voter_2", "question": "Find the first and last names of all the female (sex is F) students who have president votes.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) , sex (text) | voting_record : stuid (number) , president_vote (number)", "shrink-score": 0.6470588235294118}
{"db_id": "voter_2", "question": "What are the first and last names of all the female students who have president votes?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) , sex (text) | voting_record : stuid (number) , president_vote (number)", "shrink-score": 0.6470588235294118}
{"db_id": "voter_2", "question": "Find the first and last name of all the students of age 18 who have vice president votes.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) , age (number) | voting_record : stuid (number) , vice_president_vote (number)", "shrink-score": 0.6470588235294118}
{"db_id": "voter_2", "question": "What are the first names and last names of the students who are 18 years old and have vice president votes.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) , age (number) | voting_record : stuid (number) , vice_president_vote (number)", "shrink-score": 0.6470588235294118}
{"db_id": "voter_2", "question": "How many male (sex is M) students have class senator votes in the fall election cycle?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : stuid (number) , sex (text) | voting_record : stuid (number) , class_senator_vote (number) , election_cycle (text)", "shrink-score": 0.7058823529411765}
{"db_id": "voter_2", "question": "Count the number of male students who had class senator votes in the fall election cycle.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : stuid (number) , sex (text) | voting_record : stuid (number) , class_senator_vote (number) , election_cycle (text)", "shrink-score": 0.7058823529411765}
{"db_id": "voter_2", "question": "Find the number of students whose city code is NYC and who have class senator votes in the spring election cycle.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : stuid (number) , city_code (text) | voting_record : stuid (number) , class_senator_vote (number) , election_cycle (text)", "shrink-score": 0.7058823529411765}
{"db_id": "voter_2", "question": "Which students live in the city with code \"NYC\" and have class senator votes in the spring election cycle? Count the numbers.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : stuid (number) , city_code (text) | voting_record : stuid (number) , class_senator_vote (number) , election_cycle (text)", "shrink-score": 0.7058823529411765}
{"db_id": "voter_2", "question": "Find the average age of students who live in the city with code \"NYC\" and have secretary votes in the spring election cycle.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : age (number) , stuid (number) , city_code (text) | voting_record : stuid (number) , secretary_vote (number) , election_cycle (text)", "shrink-score": 0.6470588235294118}
{"db_id": "voter_2", "question": "What is the average age of students who have city code \"NYC\" and have secretary votes for the spring election cycle?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : age (number) , stuid (number) , city_code (text) | voting_record : stuid (number) , secretary_vote (number) , election_cycle (text)", "shrink-score": 0.6470588235294118}
{"db_id": "voter_2", "question": "Find the average age of female (sex is F) students who have secretary votes in the spring election cycle.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : age (number) , stuid (number) , sex (text) | voting_record : stuid (number) , secretary_vote (number) , election_cycle (text)", "shrink-score": 0.6470588235294118}
{"db_id": "voter_2", "question": "What is the average age of the female students with secretary votes in the spring election cycle?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : age (number) , stuid (number) , sex (text) | voting_record : stuid (number) , secretary_vote (number) , election_cycle (text)", "shrink-score": 0.6470588235294118}
{"db_id": "voter_2", "question": "Find the distinct first names of all the students who have vice president votes and whose city code is not PIT.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : fname (text) , stuid (number) , city_code (text) | voting_record : stuid (number) , vice_president_vote (number)", "shrink-score": 0.7058823529411765}
{"db_id": "voter_2", "question": "What are the distinct first names of the students who have vice president votes and reside in a city whose city code is not PIT?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : fname (text) , stuid (number) , city_code (text) | voting_record : stuid (number) , vice_president_vote (number)", "shrink-score": 0.7058823529411765}
{"db_id": "voter_2", "question": "Find the distinct last names of all the students who have president votes and whose advisor is not 2192.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : lname (text) , stuid (number) , advisor (number) | voting_record : stuid (number) , president_vote (number)", "shrink-score": 0.7058823529411765}
{"db_id": "voter_2", "question": "What are the distinct last names of the students who have president votes but do not have 2192 as the advisor?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : lname (text) , stuid (number) , advisor (number) | voting_record : stuid (number) , president_vote (number)", "shrink-score": 0.7058823529411765}
{"db_id": "voter_2", "question": "Find the distinct last names of all the students who have president votes and whose advisor is 8741.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : lname (text) , stuid (number) , advisor (number) | voting_record : stuid (number) , president_vote (number)", "shrink-score": 0.7058823529411765}
{"db_id": "voter_2", "question": "What are the distinct last names of the students who have president votes and have 8741 as the advisor?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : lname (text) , stuid (number) , advisor (number) | voting_record : stuid (number) , president_vote (number)", "shrink-score": 0.7058823529411765}
{"db_id": "voter_2", "question": "For each advisor, report the total number of students advised by him or her.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "How many students does each advisor have?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Report all advisors that advise more than 2 students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Which advisors have more than two students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Report all majors that have less than 3 students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : major (number) , stuid (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "What are the majors only less than three students are studying?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : major (number) , stuid (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "For each election cycle, report the number of voting records.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "voting_record : election_cycle (text)", "shrink-score": 0.9411764705882353}
{"db_id": "voter_2", "question": "Count the number of voting records for each election cycle.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "voting_record : election_cycle (text)", "shrink-score": 0.9411764705882353}
{"db_id": "voter_2", "question": "Which major has the most students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : major (number) , stuid (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Find the major that is studied by the largest number of students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : major (number) , stuid (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "What is the most common major among female (sex is F) students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : major (number) , sex (text) , stuid (number)", "shrink-score": 0.8235294117647058}
{"db_id": "voter_2", "question": "Find the major that is studied by the most female students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : major (number) , sex (text) , stuid (number)", "shrink-score": 0.8235294117647058}
{"db_id": "voter_2", "question": "What is the city_code of the city that the most students live in?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : city_code (text) , stuid (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Return the code of the city that has the most students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : city_code (text) , stuid (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Report the distinct advisors who have more than 2 students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.8823529411764706}
{"db_id": "voter_2", "question": "Which advisors are advising more than 2 students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | voting_record : stuid (number) , registration_date (text) , election_cycle (text) , president_vote (number) , vice_president_vote (number) , secretary_vote (number) , treasurer_vote (number) , class_president_vote (number) , class_senator_vote (number)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.8823529411764706}
{"db_id": "products_gen_characteristics", "question": "How many products are there?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number)", "shrink-score": 0.9565217391304348}
{"db_id": "products_gen_characteristics", "question": "Count the number of products.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number)", "shrink-score": 0.9565217391304348}
{"db_id": "products_gen_characteristics", "question": "How many colors are there?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_colors : color_code (text)", "shrink-score": 0.9565217391304348}
{"db_id": "products_gen_characteristics", "question": "Count the number of colors.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_colors : color_code (text)", "shrink-score": 0.9565217391304348}
{"db_id": "products_gen_characteristics", "question": "How many characteristics are there?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_id (number)", "shrink-score": 0.9565217391304348}
{"db_id": "products_gen_characteristics", "question": "Count the number of characteristics.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_id (number)", "shrink-score": 0.9565217391304348}
{"db_id": "products_gen_characteristics", "question": "What are the names and buying prices of all the products?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , typical_buying_price (text)", "shrink-score": 0.9130434782608695}
{"db_id": "products_gen_characteristics", "question": "Return the names and typical buying prices for all products.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , typical_buying_price (text)", "shrink-score": 0.9130434782608695}
{"db_id": "products_gen_characteristics", "question": "List the description of all the colors.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_colors : color_description (text)", "shrink-score": 0.9565217391304348}
{"db_id": "products_gen_characteristics", "question": "What are the descriptions for each color?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_colors : color_description (text)", "shrink-score": 0.9565217391304348}
{"db_id": "products_gen_characteristics", "question": "Find the names of all the product characteristics.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "products_gen_characteristics", "question": "What are the different names of the product characteristics?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text)", "shrink-score": 0.9565217391304348}
{"db_id": "products_gen_characteristics", "question": "What are the names of products with category \"Spices\"?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , product_category_code (text)", "shrink-score": 0.9130434782608695}
{"db_id": "products_gen_characteristics", "question": "Return the names of products in the category 'Spices'.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , product_category_code (text)", "shrink-score": 0.9130434782608695}
{"db_id": "products_gen_characteristics", "question": "List the names, color descriptions and product descriptions of products with category \"Herbs\".", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , product_description (text) , color_code (text) , product_category_code (text) | ref_colors : color_description (text) , color_code (text)", "shrink-score": 0.7391304347826086}
{"db_id": "products_gen_characteristics", "question": "What are the names, color descriptions, and product descriptions for products in the 'Herbs' category?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , product_description (text) , color_code (text) , product_category_code (text) | ref_colors : color_description (text) , color_code (text)", "shrink-score": 0.7391304347826086}
{"db_id": "products_gen_characteristics", "question": "How many products are there under the category \"Seeds\"?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_category_code (text) , product_id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "products_gen_characteristics", "question": "Count the number of products in the category 'Seeds'.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_category_code (text) , product_id (number)", "shrink-score": 0.9130434782608695}
{"db_id": "products_gen_characteristics", "question": "Find the number of products with category \"Spices\" and typically sold above 1000.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_category_code (text) , typical_buying_price (text) , product_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "products_gen_characteristics", "question": "How many products are in the 'Spices' category and have a typical price of over 1000?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_category_code (text) , typical_buying_price (text) , product_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "products_gen_characteristics", "question": "What is the category and typical buying price  of the product with name \"cumin\"?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_category_code (text) , typical_buying_price (text) , product_name (text)", "shrink-score": 0.8695652173913043}
{"db_id": "products_gen_characteristics", "question": "Return the category code and typical price of 'cumin'.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_category_code (text) , typical_buying_price (text) , product_name (text)", "shrink-score": 0.8695652173913043}
{"db_id": "products_gen_characteristics", "question": "Which category does the product named \"flax\" belong to?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_category_code (text) , product_name (text)", "shrink-score": 0.9130434782608695}
{"db_id": "products_gen_characteristics", "question": "What is the code of the category that the product with the name 'flax' belongs to?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_category_code (text) , product_name (text)", "shrink-score": 0.9130434782608695}
{"db_id": "products_gen_characteristics", "question": "What is the name of the product with the color description 'yellow'?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , color_code (text) | ref_colors : color_code (text) , color_description (text)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "Give the name of the products that have a color description 'yellow'.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , color_code (text) | ref_colors : color_code (text) , color_description (text)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "Find the category descriptions of the products whose descriptions include letter 't'.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_product_categories : product_category_description (text) , product_category_code (text) | products : product_category_code (text) , product_description (text)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "What are the descriptions of the categories that products with product descriptions that contain the letter t are in?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_product_categories : product_category_description (text) , product_category_code (text) | products : product_category_code (text) , product_description (text)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "What is the color description of the product with name \"catnip\"?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_colors : color_description (text) , color_code (text) | products : color_code (text) , product_name (text)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "Give the color description for the product 'catnip'.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_colors : color_description (text) , color_code (text) | products : color_code (text) , product_name (text)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "What is the color code and description of the product named \"chervil\"?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_colors : color_code (text) , color_description (text) | products : color_code (text) , product_name (text)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "Return the color code and description for the product with the name 'chervil'.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_colors : color_code (text) , color_description (text) | products : color_code (text) , product_name (text)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "Find the id and color description of the products with at least 2 characteristics.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number) , color_code (text) | product_characteristics : product_id (number) | ref_colors : color_description (text) , color_code (text)", "shrink-score": 0.782608695652174}
{"db_id": "products_gen_characteristics", "question": "What are the product ids and color descriptions for products with two or more characteristics?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number) , color_code (text) | product_characteristics : product_id (number) | ref_colors : color_description (text) , color_code (text)", "shrink-score": 0.782608695652174}
{"db_id": "products_gen_characteristics", "question": "List all the product names with the color description \"white\".", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , color_code (text) | ref_colors : color_code (text) , color_description (text)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "What are the names of products with 'white' as their color description?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , color_code (text) | ref_colors : color_code (text) , color_description (text)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "What are the name and typical buying and selling prices of the products that have color described as \"yellow\"?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , typical_buying_price (text) , typical_selling_price (text) , color_code (text) | ref_colors : color_code (text) , color_description (text)", "shrink-score": 0.7391304347826086}
{"db_id": "products_gen_characteristics", "question": "Return the names and typical buying and selling prices for products that have 'yellow' as their color description.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , typical_buying_price (text) , typical_selling_price (text) , color_code (text) | ref_colors : color_code (text) , color_description (text)", "shrink-score": 0.7391304347826086}
{"db_id": "products_gen_characteristics", "question": "How many characteristics does the product named \"sesame\" have?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number) , product_name (text) | product_characteristics : product_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "products_gen_characteristics", "question": "Count the number of characteristics the product 'sesame' has.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number) , product_name (text) | product_characteristics : product_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "products_gen_characteristics", "question": "How many distinct characteristic names does the product \"cumin\" have?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text) , characteristic_id (number) | products : product_id (number) , product_name (text) | product_characteristics : product_id (number) , characteristic_id (number)", "shrink-score": 0.7391304347826086}
{"db_id": "products_gen_characteristics", "question": "Count the number of different characteristic names the product 'cumin' has.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text) , characteristic_id (number) | products : product_id (number) , product_name (text) | product_characteristics : product_id (number) , characteristic_id (number)", "shrink-score": 0.7391304347826086}
{"db_id": "products_gen_characteristics", "question": "What are all the characteristic names of product \"sesame\"?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text) , characteristic_id (number) | products : product_id (number) , product_name (text) | product_characteristics : product_id (number) , characteristic_id (number)", "shrink-score": 0.7391304347826086}
{"db_id": "products_gen_characteristics", "question": "Return the characteristic names of the 'sesame' product.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text) , characteristic_id (number) | products : product_id (number) , product_name (text) | product_characteristics : product_id (number) , characteristic_id (number)", "shrink-score": 0.7391304347826086}
{"db_id": "products_gen_characteristics", "question": "List all the characteristic names and data types of product \"cumin\".", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text) , characteristic_data_type (text) , characteristic_id (number) | products : product_id (number) , product_name (text) | product_characteristics : product_id (number) , characteristic_id (number)", "shrink-score": 0.6956521739130435}
{"db_id": "products_gen_characteristics", "question": "What are the names and data types of the characteristics of the 'cumin' product?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text) , characteristic_data_type (text) , characteristic_id (number) | products : product_id (number) , product_name (text) | product_characteristics : product_id (number) , characteristic_id (number)", "shrink-score": 0.6956521739130435}
{"db_id": "products_gen_characteristics", "question": "List all characteristics of product named \"sesame\" with type code \"Grade\".", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text) , characteristic_id (number) , characteristic_type_code (text) | products : product_id (number) , product_name (text) | product_characteristics : product_id (number) , characteristic_id (number)", "shrink-score": 0.6956521739130435}
{"db_id": "products_gen_characteristics", "question": "What are the names of the characteristics of the product 'sesame' that have the characteristic type code 'Grade'?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text) , characteristic_id (number) , characteristic_type_code (text) | products : product_id (number) , product_name (text) | product_characteristics : product_id (number) , characteristic_id (number)", "shrink-score": 0.6956521739130435}
{"db_id": "products_gen_characteristics", "question": "How many characteristics does the product named \"laurel\" have?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number) , product_name (text) | product_characteristics : product_id (number) , characteristic_id (number) | characteristics : characteristic_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "products_gen_characteristics", "question": "Count the number of characteristics of the product named 'laurel'.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number) , product_name (text) | product_characteristics : product_id (number) , characteristic_id (number) | characteristics : characteristic_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "products_gen_characteristics", "question": "Find the number of characteristics that the product \"flax\" has.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number) , product_name (text) | product_characteristics : product_id (number) , characteristic_id (number) | characteristics : characteristic_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "products_gen_characteristics", "question": "Count the number of characteristics of the 'flax' product.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number) , product_name (text) | product_characteristics : product_id (number) , characteristic_id (number) | characteristics : characteristic_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "products_gen_characteristics", "question": "Find the name of the products that have the color description \"red\" and have the characteristic name \"fast\".", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , product_id (number) , color_code (text) | product_characteristics : product_id (number) , characteristic_id (number) | characteristics : characteristic_id (number) , characteristic_name (text) | ref_colors : color_code (text) , color_description (text)", "shrink-score": 0.6086956521739131}
{"db_id": "products_gen_characteristics", "question": "What are the names of the products that have a color description of 'red' and the 'fast' characteristic?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , product_id (number) , color_code (text) | product_characteristics : product_id (number) , characteristic_id (number) | characteristics : characteristic_id (number) , characteristic_name (text) | ref_colors : color_code (text) , color_description (text)", "shrink-score": 0.6086956521739131}
{"db_id": "products_gen_characteristics", "question": "How many products have the characteristic named \"hot\"?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number) | product_characteristics : product_id (number) , characteristic_id (number) | characteristics : characteristic_id (number) , characteristic_name (text)", "shrink-score": 0.782608695652174}
{"db_id": "products_gen_characteristics", "question": "Count the number of products with the 'hot' charactersitic.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number) | product_characteristics : product_id (number) , characteristic_id (number) | characteristics : characteristic_id (number) , characteristic_name (text)", "shrink-score": 0.782608695652174}
{"db_id": "products_gen_characteristics", "question": "List the all the distinct names of the products with the characteristic name 'warm'.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , product_id (number) | product_characteristics : product_id (number) , characteristic_id (number) | characteristics : characteristic_id (number) , characteristic_name (text)", "shrink-score": 0.7391304347826086}
{"db_id": "products_gen_characteristics", "question": "What are the different product names for products that have the 'warm' characteristic:?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , product_id (number) | product_characteristics : product_id (number) , characteristic_id (number) | characteristics : characteristic_id (number) , characteristic_name (text)", "shrink-score": 0.7391304347826086}
{"db_id": "products_gen_characteristics", "question": "Find the number of the products that have their color described as \"red\" and have a characteristic named \"slow\".", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number) , color_code (text) | product_characteristics : product_id (number) , characteristic_id (number) | characteristics : characteristic_id (number) , characteristic_name (text) | ref_colors : color_code (text) , color_description (text)", "shrink-score": 0.6521739130434783}
{"db_id": "products_gen_characteristics", "question": "How many products have the color description 'red' and the characteristic name 'slow'?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number) , color_code (text) | product_characteristics : product_id (number) , characteristic_id (number) | characteristics : characteristic_id (number) , characteristic_name (text) | ref_colors : color_code (text) , color_description (text)", "shrink-score": 0.6521739130434783}
{"db_id": "products_gen_characteristics", "question": "Count the products that have the color description \"white\" or have the characteristic name \"hot\".", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number) , color_code (text) | product_characteristics : product_id (number) , characteristic_id (number) | characteristics : characteristic_id (number) , characteristic_name (text) | ref_colors : color_code (text) , color_description (text)", "shrink-score": 0.6521739130434783}
{"db_id": "products_gen_characteristics", "question": "How many products have their color described as 'white' or have a characteristic with the name 'hot'?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_id (number) , color_code (text) | product_characteristics : product_id (number) , characteristic_id (number) | characteristics : characteristic_id (number) , characteristic_name (text) | ref_colors : color_code (text) , color_description (text)", "shrink-score": 0.6521739130434783}
{"db_id": "products_gen_characteristics", "question": "What is the unit of measuerment of the product category code \"Herbs\"?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_product_categories : unit_of_measure (text) , product_category_code (text)", "shrink-score": 0.9130434782608695}
{"db_id": "products_gen_characteristics", "question": "Return the unit of measure for 'Herb' products.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_product_categories : unit_of_measure (text) , product_category_code (text)", "shrink-score": 0.9130434782608695}
{"db_id": "products_gen_characteristics", "question": "Find the product category description of the product category with code \"Spices\".", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_product_categories : product_category_description (text) , product_category_code (text)", "shrink-score": 0.9130434782608695}
{"db_id": "products_gen_characteristics", "question": "What is the description of the product category with the code 'Spices'?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_product_categories : product_category_description (text) , product_category_code (text)", "shrink-score": 0.9130434782608695}
{"db_id": "products_gen_characteristics", "question": "What is the product category description and unit of measurement of category \"Herbs\"?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_product_categories : product_category_description (text) , unit_of_measure (text) , product_category_code (text)", "shrink-score": 0.8695652173913043}
{"db_id": "products_gen_characteristics", "question": "Return the description and unit of measurement for products in the 'Herbs' category.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_product_categories : product_category_description (text) , unit_of_measure (text) , product_category_code (text)", "shrink-score": 0.8695652173913043}
{"db_id": "products_gen_characteristics", "question": "What is the unit of measurement of product named \"cumin\"?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_product_categories : unit_of_measure (text) , product_category_code (text) | products : product_category_code (text) , product_name (text)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "Give the unit of measure for the product with the name 'cumin'.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_product_categories : unit_of_measure (text) , product_category_code (text) | products : product_category_code (text) , product_name (text)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "Find the unit of measurement and product category code of product named \"chervil\".", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_product_categories : unit_of_measure (text) , product_category_code (text) | products : product_category_code (text) , product_name (text)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "What are the unit of measure and category code for the 'chervil' product?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_product_categories : unit_of_measure (text) , product_category_code (text) | products : product_category_code (text) , product_name (text)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "Find the product names that are colored 'white' but do not have unit of measurement \"Handful\".", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , product_category_code (text) , color_code (text) | ref_product_categories : product_category_code (text) , unit_of_measure (text) | ref_colors : color_code (text) , color_description (text)", "shrink-score": 0.6956521739130435}
{"db_id": "products_gen_characteristics", "question": "What are the names of products that are not 'white' in color and are not measured by the unit 'Handful'?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "products : product_name (text) , product_category_code (text) , color_code (text) | ref_product_categories : product_category_code (text) , unit_of_measure (text) | ref_colors : color_code (text) , color_description (text)", "shrink-score": 0.6956521739130435}
{"db_id": "products_gen_characteristics", "question": "What is the description of the color for most products?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_colors : color_description (text) , color_code (text) | products : color_code (text) , product_id (number)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "Return the color description that is most common across all products.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_colors : color_description (text) , color_code (text) | products : color_code (text) , product_id (number)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "What is the description of the color used by least products?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_colors : color_description (text) , color_code (text) | products : color_code (text) , product_id (number)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "Give the color description that is least common across products.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_colors : color_description (text) , color_code (text) | products : color_code (text) , product_id (number)", "shrink-score": 0.8260869565217391}
{"db_id": "products_gen_characteristics", "question": "What is the characteristic name used by most number of the products?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text) , characteristic_id (number) | products : product_id (number) | product_characteristics : product_id (number) , characteristic_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "products_gen_characteristics", "question": "Return the name of the characteristic that is most common across all products.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text) , characteristic_id (number) | products : product_id (number) | product_characteristics : product_id (number) , characteristic_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "products_gen_characteristics", "question": "What are the names, details and data types of the characteristics which are never used by any product?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text) , other_characteristic_details (text) , characteristic_data_type (text) , characteristic_id (number) | product_characteristics : characteristic_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "products_gen_characteristics", "question": "Give the names, details, and data types of characteristics that are not found in any product.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text) , other_characteristic_details (text) , characteristic_data_type (text) , characteristic_id (number) | product_characteristics : characteristic_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "products_gen_characteristics", "question": "What are characteristic names used at least twice across all products?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text) , characteristic_id (number) | products : product_id (number) | product_characteristics : product_id (number) , characteristic_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "products_gen_characteristics", "question": "Give the names of characteristics that are in two or more products?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "characteristics : characteristic_name (text) , characteristic_id (number) | products : product_id (number) | product_characteristics : product_id (number) , characteristic_id (number)", "shrink-score": 0.782608695652174}
{"db_id": "products_gen_characteristics", "question": "How many colors are never used by any product?", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_colors : color_code (text) | products : color_code (text) , product_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "products_gen_characteristics", "question": "Count the number of colors that are not used in any products.", "schema": "ref_characteristic_types : characteristic_type_code (text) , characteristic_type_description (text) | ref_colors : color_code (text) , color_description (text) | ref_product_categories : product_category_code (text) , product_category_description (text) , unit_of_measure (text) | characteristics : characteristic_id (number) , characteristic_type_code (text) , characteristic_data_type (text) , characteristic_name (text) , other_characteristic_details (text) | products : product_id (number) , color_code (text) , product_category_code (text) , product_name (text) , typical_buying_price (text) , typical_selling_price (text) , product_description (text) , other_product_details (text) | product_characteristics : product_id (number) , characteristic_id (number) , product_characteristic_value (text)", "summarized-schema": "ref_colors : color_code (text) | products : color_code (text) , product_id (number)", "shrink-score": 0.8695652173913043}
{"db_id": "swimming", "question": "How many events are there?", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "event : id (number)", "shrink-score": 0.96}
{"db_id": "swimming", "question": "List all the event names by year from the most recent to the oldest.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "event : name (text) , year (text)", "shrink-score": 0.92}
{"db_id": "swimming", "question": "What is the name of the event that happened in the most recent year?", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "event : name (text) , year (text)", "shrink-score": 0.92}
{"db_id": "swimming", "question": "How many stadiums are there?", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "stadium : id (number)", "shrink-score": 0.96}
{"db_id": "swimming", "question": "Find the name of the stadium that has the maximum capacity.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "stadium : name (text) , capacity (number)", "shrink-score": 0.92}
{"db_id": "swimming", "question": "Find the names of stadiums whose capacity is smaller than the average capacity.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "stadium : name (text) , capacity (number)", "shrink-score": 0.92}
{"db_id": "swimming", "question": "Find the country that has the most stadiums.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "stadium : country (text) , id (number)", "shrink-score": 0.92}
{"db_id": "swimming", "question": "Which country has at most 3 stadiums listed?", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "stadium : country (text) , id (number)", "shrink-score": 0.92}
{"db_id": "swimming", "question": "Which country has both stadiums with capacity greater than 60000 and stadiums with capacity less than 50000?", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "stadium : country (text) , capacity (number)", "shrink-score": 0.92}
{"db_id": "swimming", "question": "How many cities have a stadium that was opened before the year of 2006?", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "stadium : city (text) , opening_year (number)", "shrink-score": 0.92}
{"db_id": "swimming", "question": "How many stadiums does each country have?", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "stadium : country (text) , id (number)", "shrink-score": 0.92}
{"db_id": "swimming", "question": "Which countries do not have a stadium that was opened after 2006?", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "stadium : country (text) , opening_year (number)", "shrink-score": 0.92}
{"db_id": "swimming", "question": "How many stadiums are not in country \"Russia\"?", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "stadium : country (text) , id (number)", "shrink-score": 0.92}
{"db_id": "swimming", "question": "Find the names of all swimmers, sorted by their 100 meter scores in ascending order.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "swimmer : name (text) , meter_100 (number)", "shrink-score": 0.92}
{"db_id": "swimming", "question": "How many different countries are all the swimmers from?", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "swimmer : nationality (text)", "shrink-score": 0.96}
{"db_id": "swimming", "question": "List countries that have more than one swimmer.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "swimmer : nationality (text) , id (number)", "shrink-score": 0.92}
{"db_id": "swimming", "question": "Find all 200 meter and 300 meter results of swimmers with nationality \"Australia\".", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "swimmer : meter_200 (text) , meter_300 (text) , nationality (text)", "shrink-score": 0.88}
{"db_id": "swimming", "question": "Find the names of swimmers who has a result of \"win\".", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "swimmer : name (text) , id (number) | record : id (number) , swimmer_id (number) , result (text)", "shrink-score": 0.8}
{"db_id": "swimming", "question": "What is the name of the stadium which held the most events?", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "stadium : name (text) , id (number) | event : name (text) , id (number) , stadium_id (number)", "shrink-score": 0.8}
{"db_id": "swimming", "question": "Find the name and capacity of the stadium where the event named \"World Junior\" happened.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "stadium : name (text) , capacity (number) , id (number) | event : name (text) , id (number) , stadium_id (number)", "shrink-score": 0.76}
{"db_id": "swimming", "question": "Find the names of stadiums which have never had any event.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "stadium : name (text) , id (number) | event : name (text) , id (number) , stadium_id (number)", "shrink-score": 0.8}
{"db_id": "swimming", "question": "Find the name of the swimmer who has the most records.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "swimmer : name (text) , id (number) | record : id (number) , swimmer_id (number)", "shrink-score": 0.84}
{"db_id": "swimming", "question": "Find the name of the swimmer who has at least 2 records.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "swimmer : name (text) , id (number) | record : id (number) , swimmer_id (number)", "shrink-score": 0.84}
{"db_id": "swimming", "question": "Find the name and nationality of the swimmer who has won (i.e., has a result of \"win\") more than 1 time.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "swimmer : name (text) , nationality (text) , id (number) | record : id (number) , swimmer_id (number) , result (text)", "shrink-score": 0.76}
{"db_id": "swimming", "question": "Find the names of the swimmers who have no record.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "swimmer : name (text) , id (number) | record : id (number) , swimmer_id (number)", "shrink-score": 0.84}
{"db_id": "swimming", "question": "Find the names of the swimmers who have both \"win\" and \"loss\" results in the record.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "swimmer : name (text) , id (number) | record : id (number) , swimmer_id (number) , result (text)", "shrink-score": 0.8}
{"db_id": "swimming", "question": "Find the names of stadiums that some Australian swimmers have been to.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "swimmer : name (text) , id (number) , nationality (text) | stadium : name (text) , id (number) | event : name (text) , id (number) , stadium_id (number) | record : id (number) , swimmer_id (number) , event_id (number)", "shrink-score": 0.56}
{"db_id": "swimming", "question": "Find the names of stadiums that the most swimmers have been to.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "stadium : name (text) , id (number) | event : name (text) , id (number) , stadium_id (number) | record : event_id (number) , id (number) , swimmer_id (number)", "shrink-score": 0.68}
{"db_id": "swimming", "question": "Find all details for each swimmer.", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "swimmer : id (number)", "shrink-score": 0.96}
{"db_id": "swimming", "question": "What is the average capacity of the stadiums that were opened in year 2005?", "schema": "swimmer : id (number) , name (text) , nationality (text) , meter_100 (number) , meter_200 (text) , meter_300 (text) , meter_400 (text) , meter_500 (text) , meter_600 (text) , meter_700 (text) , time (text) | stadium : id (number) , name (text) , capacity (number) , city (text) , country (text) , opening_year (number) | event : id (number) , name (text) , stadium_id (number) , year (text) | record : id (number) , result (text) , swimmer_id (number) , event_id (number)", "summarized-schema": "stadium : capacity (number) , opening_year (number)", "shrink-score": 0.92}
{"db_id": "railway", "question": "How many railways are there?", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "railway : railway (text) , railway_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "railway", "question": "List the builders of railways in ascending alphabetical order.", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "railway : builder (text) , railway (text)", "shrink-score": 0.9090909090909091}
{"db_id": "railway", "question": "List the wheels and locations of the railways.", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "railway : wheels (text) , location (text) , railway (text)", "shrink-score": 0.8636363636363636}
{"db_id": "railway", "question": "What is the maximum level of managers in countries that are not \"Australia\"?", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "manager : level (number) , country (text)", "shrink-score": 0.9090909090909091}
{"db_id": "railway", "question": "What is the average age for all managers?", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "manager : age (number)", "shrink-score": 0.9545454545454546}
{"db_id": "railway", "question": "What are the names of managers in ascending order of level?", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "manager : name (text) , level (number)", "shrink-score": 0.9090909090909091}
{"db_id": "railway", "question": "What are the names and arrival times of trains?", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "train : name (text) , arrival (text) , from (text)", "shrink-score": 0.8636363636363636}
{"db_id": "railway", "question": "What is the name of the oldest manager?", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "manager : name (text) , age (number)", "shrink-score": 0.9090909090909091}
{"db_id": "railway", "question": "Show the names of trains and locations of railways they are in.", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "train : name (text) , from (text) , railway_id (number) | railway : location (text) , railway (text) , railway_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "railway", "question": "Show the builder of railways associated with the trains named \"Andaman Exp\".", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "railway : builder (text) , railway (text) , railway_id (number) | train : from (text) , railway_id (number) , name (text)", "shrink-score": 0.7272727272727273}
{"db_id": "railway", "question": "Show id and location of railways that are associated with more than one train.", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "railway : railway_id (number) , location (text) , railway (text) | train : railway_id (number) , from (text) , train_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "railway", "question": "Show the id and builder of the railway that are associated with the most trains.", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "railway : railway_id (number) , builder (text) , railway (text) | train : railway_id (number) , from (text) , train_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "railway", "question": "Show different builders of railways, along with the corresponding number of railways using each builder.", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "railway : builder (text) , railway (text) , railway_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "railway", "question": "Show the most common builder of railways.", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "railway : builder (text) , railway (text) , railway_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "railway", "question": "Show different locations of railways along with the corresponding number of railways at each location.", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "railway : location (text) , railway (text) , railway_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "railway", "question": "Show the locations that have more than one railways.", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "railway : location (text) , railway (text) , railway_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "railway", "question": "List the object number of railways that do not have any trains.", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "railway : objectnumber (text) , railway (text) , railway_id (number) | train : from (text) , railway_id (number)", "shrink-score": 0.7727272727272727}
{"db_id": "railway", "question": "Show the countries that have both managers of age above 50 and managers of age below 46.", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "manager : country (text) , age (number)", "shrink-score": 0.9090909090909091}
{"db_id": "railway", "question": "Show the distinct countries of managers.", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "manager : country (text)", "shrink-score": 0.9545454545454546}
{"db_id": "railway", "question": "Show the working years of managers in descending order of their level.", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "manager : working_year_starts (text) , level (number)", "shrink-score": 0.9090909090909091}
{"db_id": "railway", "question": "Show the countries that have managers of age above 50 or below 46.", "schema": "railway : railway_id (number) , railway (text) , builder (text) , built (text) , wheels (text) , location (text) , objectnumber (text) | train : train_id (number) , train_num (text) , name (text) , from (text) , arrival (text) , railway_id (number) | manager : manager_id (number) , name (text) , country (text) , working_year_starts (text) , age (number) , level (number) | railway_manage : railway_id (number) , manager_id (number) , from_year (text)", "summarized-schema": "manager : country (text) , age (number)", "shrink-score": 0.9090909090909091}
{"db_id": "customers_and_products_contacts", "question": "How many addresses are there in country USA?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | customers : customer_id (number) , payment_method_code (text) , customer_number (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | contacts : contact_id (number) , customer_id (number) , gender (text) , first_name (text) , last_name (text) , contact_phone (text) | customer_address_history : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_date (time) , order_status_code (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : country (text) , address_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "customers_and_products_contacts", "question": "Show all distinct cities in the address record.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | customers : customer_id (number) , payment_method_code (text) , customer_number (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | contacts : contact_id (number) , customer_id (number) , gender (text) , first_name (text) , last_name (text) , contact_phone (text) | customer_address_history : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_date (time) , order_status_code (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : city (text)", "shrink-score": 0.9714285714285714}
{"db_id": "customers_and_products_contacts", "question": "Show each state and the number of addresses in each state.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | customers : customer_id (number) , payment_method_code (text) , customer_number (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | contacts : contact_id (number) , customer_id (number) , gender (text) , first_name (text) , last_name (text) , contact_phone (text) | customer_address_history : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_date (time) , order_status_code (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : state_province_county (text) , address_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "customers_and_products_contacts", "question": "Show names and phones of customers who do not have address information.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | customers : customer_id (number) , payment_method_code (text) , customer_number (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | contacts : contact_id (number) , customer_id (number) , gender (text) , first_name (text) , last_name (text) , contact_phone (text) | customer_address_history : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_date (time) , order_status_code (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_phone (text) , customer_id (number) | customer_address_history : customer_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "customers_and_products_contacts", "question": "Show the name of the customer who has the most orders.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | customers : customer_id (number) , payment_method_code (text) , customer_number (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | contacts : contact_id (number) , customer_id (number) , gender (text) , first_name (text) , last_name (text) , contact_phone (text) | customer_address_history : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_date (time) , order_status_code (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "customers_and_products_contacts", "question": "Show the product type codes which have at least two products.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | customers : customer_id (number) , payment_method_code (text) , customer_number (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | contacts : contact_id (number) , customer_id (number) , gender (text) , first_name (text) , last_name (text) , contact_phone (text) | customer_address_history : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_date (time) , order_status_code (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "products : product_type_code (text) , product_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "customers_and_products_contacts", "question": "Show the names of customers who have both an order in completed status and an order in part status.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | customers : customer_id (number) , payment_method_code (text) , customer_number (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | contacts : contact_id (number) , customer_id (number) , gender (text) , first_name (text) , last_name (text) , contact_phone (text) | customer_address_history : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_date (time) , order_status_code (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_status_code (text)", "shrink-score": 0.8857142857142857}
{"db_id": "customers_and_products_contacts", "question": "Show the name, phone, and payment method code for all customers in descending order of customer number.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | customers : customer_id (number) , payment_method_code (text) , customer_number (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | contacts : contact_id (number) , customer_id (number) , gender (text) , first_name (text) , last_name (text) , contact_phone (text) | customer_address_history : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_date (time) , order_status_code (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_phone (text) , payment_method_code (text) , customer_number (text)", "shrink-score": 0.8857142857142857}
{"db_id": "customers_and_products_contacts", "question": "Show the product name and total order quantity for each product.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | customers : customer_id (number) , payment_method_code (text) , customer_number (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | contacts : contact_id (number) , customer_id (number) , gender (text) , first_name (text) , last_name (text) , contact_phone (text) | customer_address_history : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_date (time) , order_status_code (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "products : product_name (text) , product_id (number) | order_items : order_quantity (text) , product_id (number)", "shrink-score": 0.8857142857142857}
{"db_id": "customers_and_products_contacts", "question": "Show the minimum, maximum, average price for all products.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | customers : customer_id (number) , payment_method_code (text) , customer_number (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | contacts : contact_id (number) , customer_id (number) , gender (text) , first_name (text) , last_name (text) , contact_phone (text) | customer_address_history : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_date (time) , order_status_code (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "products : product_price (number)", "shrink-score": 0.9714285714285714}
{"db_id": "customers_and_products_contacts", "question": "How many products have a price higher than the average?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | customers : customer_id (number) , payment_method_code (text) , customer_number (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | contacts : contact_id (number) , customer_id (number) , gender (text) , first_name (text) , last_name (text) , contact_phone (text) | customer_address_history : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_date (time) , order_status_code (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "products : product_price (number) , product_id (number)", "shrink-score": 0.9428571428571428}
{"db_id": "customers_and_products_contacts", "question": "Show the customer name, customer address city, date from, and date to for each customer address history.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | customers : customer_id (number) , payment_method_code (text) , customer_number (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | contacts : contact_id (number) , customer_id (number) , gender (text) , first_name (text) , last_name (text) , contact_phone (text) | customer_address_history : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_date (time) , order_status_code (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | addresses : city (text) , address_id (number) | customer_address_history : date_from (time) , date_to (time) , customer_id (number) , address_id (number)", "shrink-score": 0.7714285714285715}
{"db_id": "customers_and_products_contacts", "question": "Show the names of customers who use Credit Card payment method and have more than 2 orders.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | customers : customer_id (number) , payment_method_code (text) , customer_number (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | contacts : contact_id (number) , customer_id (number) , gender (text) , first_name (text) , last_name (text) , contact_phone (text) | customer_address_history : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_date (time) , order_status_code (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) , payment_method_code (text) | customer_orders : customer_id (number) , order_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "customers_and_products_contacts", "question": "What are the name and phone of the customer with the most ordered product quantity?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | customers : customer_id (number) , payment_method_code (text) , customer_number (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | contacts : contact_id (number) , customer_id (number) , gender (text) , first_name (text) , last_name (text) , contact_phone (text) | customer_address_history : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_date (time) , order_status_code (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_phone (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number) | order_items : order_id (number) , order_quantity (text)", "shrink-score": 0.8}
{"db_id": "customers_and_products_contacts", "question": "Show the product type and name for the products with price higher than 1000 or lower than 500.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | products : product_id (number) , product_type_code (text) , product_name (text) , product_price (number) | customers : customer_id (number) , payment_method_code (text) , customer_number (text) , customer_name (text) , customer_address (text) , customer_phone (text) , customer_email (text) | contacts : contact_id (number) , customer_id (number) , gender (text) , first_name (text) , last_name (text) , contact_phone (text) | customer_address_history : customer_id (number) , address_id (number) , date_from (time) , date_to (time) | customer_orders : order_id (number) , customer_id (number) , order_date (time) , order_status_code (text) | order_items : order_item_id (number) , order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "products : product_type_code (text) , product_name (text) , product_price (number)", "shrink-score": 0.9142857142857143}
{"db_id": "dorm_1", "question": "Find the name of dorms only for female (F gender).", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , gender (text)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "What are the names of the all-female dorms?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , gender (text)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "Find the name of dorms that can accommodate more than 300 students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , student_capacity (number)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "What are the names of all the dorms that can accomdate more than 300 students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , student_capacity (number)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "How many female students (sex is F) whose age is below 25?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : sex (text) , age (number) , stuid (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "How many girl students who are younger than 25?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : sex (text) , age (number) , stuid (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "Find the first name of students who is older than 20.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , age (number)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "What are the first names of all students who are older than 20?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , age (number)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "Find the first name of students living in city PHL whose age is between 20 and 25.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , city_code (text) , age (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "What is the first name of the students who are in age 20 to 25 and living in PHL city?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , city_code (text) , age (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "Find the total capacity of all dorms.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : student_capacity (number)", "shrink-score": 0.9473684210526315}
{"db_id": "dorm_1", "question": "What is the total student capacity of all dorms?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : student_capacity (number)", "shrink-score": 0.9473684210526315}
{"db_id": "dorm_1", "question": "How many students are there?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : stuid (number)", "shrink-score": 0.9473684210526315}
{"db_id": "dorm_1", "question": "How many students exist?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : stuid (number)", "shrink-score": 0.9473684210526315}
{"db_id": "dorm_1", "question": "Find the average age of all students living in the each city.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : age (number) , city_code (text)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "What is the average age for each city and what are those cities?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : age (number) , city_code (text)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "Find the average and total capacity of dorms for the students with gender X.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : student_capacity (number) , gender (text)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "What is the average and total capacity for all dorms who are of gender X?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : student_capacity (number) , gender (text)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "Find the number of dorms that have some amenity.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "has_amenity : dormid (number)", "shrink-score": 0.9473684210526315}
{"db_id": "dorm_1", "question": "How many dorms have amenities?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "has_amenity : dormid (number)", "shrink-score": 0.9473684210526315}
{"db_id": "dorm_1", "question": "Find the name of dorms that do not have any amenity", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , dormid (number) | has_amenity : dormid (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "What are the names of all the dorms that don't have any amenities?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , dormid (number) | has_amenity : dormid (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "Find the number of distinct gender for dorms.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : gender (text)", "shrink-score": 0.9473684210526315}
{"db_id": "dorm_1", "question": "How many different genders are there in the dorms?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : gender (text)", "shrink-score": 0.9473684210526315}
{"db_id": "dorm_1", "question": "Find the capacity and gender type of the dorm whose name has substring \u2018Donor\u2019.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : student_capacity (number) , gender (text) , dorm_name (text)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "What is the student capacity and type of gender for the dorm whose name as the phrase Donor in it?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : student_capacity (number) , gender (text) , dorm_name (text)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "Find the name and gender type of the dorms whose capacity is greater than 300 or less than 100.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , gender (text) , student_capacity (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "What are the names and types of the dorms that have a capacity greater than 300 or less than 100?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , gender (text) , student_capacity (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "Find the numbers of different majors and cities.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : major (number) , city_code (text)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "How many different majors are there and how many different city codes are there for each student?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : major (number) , city_code (text)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "Find the name of dorms which have both TV Lounge and Study Room as amenities.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , dormid (number) | has_amenity : dormid (number) , amenid (number) | dorm_amenity : amenid (number) , amenity_name (text)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "What is the name of the dorm with both a TV Lounge and Study Room listed as amenities?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , dormid (number) | has_amenity : dormid (number) , amenid (number) | dorm_amenity : amenid (number) , amenity_name (text)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "Find the name of dorms which have TV Lounge but no Study Room as amenity.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , dormid (number) | has_amenity : dormid (number) , amenid (number) | dorm_amenity : amenid (number) , amenity_name (text)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "What is the name of each dorm that has a TV Lounge but no study rooms?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , dormid (number) | has_amenity : dormid (number) , amenid (number) | dorm_amenity : amenid (number) , amenity_name (text)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "Find the last name of students who is either female (sex is F) and living in the city of code BAL or male (sex is M) and in age of below 20.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : lname (text) , sex (text) , city_code (text) , age (number)", "shrink-score": 0.7894736842105263}
{"db_id": "dorm_1", "question": "What is the last name of every student who is either female or living in a city with the code BAL or male and under 20?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : lname (text) , sex (text) , city_code (text) , age (number)", "shrink-score": 0.7894736842105263}
{"db_id": "dorm_1", "question": "Find the name of the dorm with the largest capacity.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , student_capacity (number)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "What are the names of the dorm with the largest capacity?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , student_capacity (number)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "List in alphabetic order all different amenities.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm_amenity : amenity_name (text)", "shrink-score": 0.9473684210526315}
{"db_id": "dorm_1", "question": "What are the different dorm amenity names in alphabetical order?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm_amenity : amenity_name (text)", "shrink-score": 0.9473684210526315}
{"db_id": "dorm_1", "question": "Find the code of city where most of students are living in.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : city_code (text) , stuid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "What is the code of the city with the most students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : city_code (text) , stuid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "Find the first and last name of students whose age is younger than the average age.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , lname (text) , age (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "What is the first and last name of all students who are younger than average?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , lname (text) , age (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "List the first and last name of students who are not living in the city with code HKG, and sorted the results by their ages.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , lname (text) , city_code (text) , age (number)", "shrink-score": 0.7894736842105263}
{"db_id": "dorm_1", "question": "What are the first and last names of all students who are not living in the city HKG and order the results by age?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , lname (text) , city_code (text) , age (number)", "shrink-score": 0.7894736842105263}
{"db_id": "dorm_1", "question": "List name of all amenities which Anonymous Donor Hall has, and sort the results in alphabetic order.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm_amenity : amenity_name (text) , amenid (number) | has_amenity : amenid (number) , dormid (number) | dorm : dormid (number) , dorm_name (text)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "What are the amenities in alphabetical order that Anonymous Donor Hall has?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm_amenity : amenity_name (text) , amenid (number) | has_amenity : amenid (number) , dormid (number) | dorm : dormid (number) , dorm_name (text)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "Find the number of dorms and total capacity for each gender.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : student_capacity (number) , gender (text)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "How many dorms are there and what is the total capacity for each gender?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : student_capacity (number) , gender (text)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "Find the average and oldest age for students with different sex.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : age (number) , sex (text)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "What is the average and oldest age for each gender of student?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : age (number) , sex (text)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "Find the number of students in each major.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : major (number) , stuid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "How many students are there in each major?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : major (number) , stuid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "Find the number and average age of students living in each city.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : age (number) , city_code (text) , stuid (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "How many students live in each city and what are their average ages?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : age (number) , city_code (text) , stuid (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "Find the average age and number of male students (with sex M) from each city.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : age (number) , city_code (text) , sex (text) , stuid (number)", "shrink-score": 0.7894736842105263}
{"db_id": "dorm_1", "question": "What is the average age and how many male students are there in each city?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : age (number) , city_code (text) , sex (text) , stuid (number)", "shrink-score": 0.7894736842105263}
{"db_id": "dorm_1", "question": "Find the number of students for the cities where have more than one student.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : city_code (text) , stuid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "How many students are from each city, and which cities have more than one cities?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : city_code (text) , stuid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "dorm_1", "question": "Find the first and last name of students who are not in the largest major.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , lname (text) , major (number) , stuid (number)", "shrink-score": 0.7894736842105263}
{"db_id": "dorm_1", "question": "What is the first and last name of the students who are not in the largest major?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , lname (text) , major (number) , stuid (number)", "shrink-score": 0.7894736842105263}
{"db_id": "dorm_1", "question": "Find the number of students whose age is older than the average age for each gender.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : sex (text) , age (number) , stuid (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "How many students are older than average for each gender?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : sex (text) , age (number) , stuid (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "Find the average age of students living in each dorm and the name of dorm.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : age (number) , stuid (number) | dorm : dorm_name (text) , dormid (number) | lives_in : stuid (number) , dormid (number)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "What is the average age for each dorm and what are the names of each dorm?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : age (number) , stuid (number) | dorm : dorm_name (text) , dormid (number) | lives_in : stuid (number) , dormid (number)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "Find the number of amenities for each of the dorms that can accommodate more than 100 students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dormid (number) , student_capacity (number) | has_amenity : dormid (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "For each dorm, how many amenities does it have?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dormid (number) , student_capacity (number) | has_amenity : dormid (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "Find the number of students who is older than 20 in each dorm.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , dormid (number) | student : stuid (number) , age (number) | lives_in : stuid (number) , dormid (number)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "How many students are older than 20 in each dorm?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , dormid (number) | student : stuid (number) , age (number) | lives_in : stuid (number) , dormid (number)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "Find the first name of students who are living in the Smith Hall.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , stuid (number) | lives_in : stuid (number) , dormid (number) | dorm : dormid (number) , dorm_name (text)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "What are the first names of all students in Smith Hall?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , stuid (number) | lives_in : stuid (number) , dormid (number) | dorm : dormid (number) , dorm_name (text)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "Find the average age of students who are living in the dorm with the largest capacity.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : age (number) , stuid (number) | lives_in : stuid (number) , dormid (number) | dorm : dormid (number) , student_capacity (number)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "What is the average age of students who are living in the dorm with the largest capacity?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : age (number) , stuid (number) | lives_in : stuid (number) , dormid (number) | dorm : dormid (number) , student_capacity (number)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "Find the total number of students living in the male dorm (with gender M).", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : stuid (number) | lives_in : stuid (number) , dormid (number) | dorm : dormid (number) , gender (text)", "shrink-score": 0.7368421052631579}
{"db_id": "dorm_1", "question": "What are the total number of students who are living in a male dorm?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : stuid (number) | lives_in : stuid (number) , dormid (number) | dorm : dormid (number) , gender (text)", "shrink-score": 0.7368421052631579}
{"db_id": "dorm_1", "question": "Find the number of female students (with F sex) living in Smith Hall", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : stuid (number) , sex (text) | lives_in : stuid (number) , dormid (number) | dorm : dormid (number) , dorm_name (text)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "How many female students live in Smith Hall?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : stuid (number) , sex (text) | lives_in : stuid (number) , dormid (number) | dorm : dormid (number) , dorm_name (text)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "Find the name of amenities Smith Hall dorm have.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm_amenity : amenity_name (text) , amenid (number) | dorm : dormid (number) , dorm_name (text) | has_amenity : dormid (number) , amenid (number)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "What are the names of the amenities that Smith Hall has?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm_amenity : amenity_name (text) , amenid (number) | dorm : dormid (number) , dorm_name (text) | has_amenity : dormid (number) , amenid (number)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "Find the name of amenities Smith Hall dorm have. ordered the results by amenity names.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm_amenity : amenity_name (text) , amenid (number) | dorm : dormid (number) , dorm_name (text) | has_amenity : dormid (number) , amenid (number)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "What amenities does Smith Hall have in alphabetical order?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm_amenity : amenity_name (text) , amenid (number) | dorm : dormid (number) , dorm_name (text) | has_amenity : dormid (number) , amenid (number)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "Find the name of amenity that is most common in all dorms.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm_amenity : amenity_name (text) , amenid (number) | has_amenity : amenid (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "What is the most common amenity in the dorms?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm_amenity : amenity_name (text) , amenid (number) | has_amenity : amenid (number)", "shrink-score": 0.8421052631578947}
{"db_id": "dorm_1", "question": "Find the first name of students who are living in the dorm that has most number of amenities.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , stuid (number) | lives_in : stuid (number) , dormid (number) | dorm : dormid (number) | has_amenity : dormid (number) , amenid (number) | dorm_amenity : amenid (number)", "shrink-score": 0.5789473684210527}
{"db_id": "dorm_1", "question": "What are the first names of all students who live in the dorm with the most amenities?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , stuid (number) | lives_in : stuid (number) , dormid (number) | dorm : dormid (number) | has_amenity : dormid (number) , amenid (number) | dorm_amenity : amenid (number)", "shrink-score": 0.5789473684210527}
{"db_id": "dorm_1", "question": "Find the name and capacity of the dorm with least number of amenities.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , student_capacity (number) , dormid (number) | has_amenity : dormid (number) , amenid (number) | dorm_amenity : amenid (number)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "What is the name and capacity of the dorm with the fewest amount of amenities?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , student_capacity (number) , dormid (number) | has_amenity : dormid (number) , amenid (number) | dorm_amenity : amenid (number)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "Find the name of dorms that do not have amenity TV Lounge.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , dormid (number) | has_amenity : dormid (number) , amenid (number) | dorm_amenity : amenid (number) , amenity_name (text)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "What are the names of the dorm that does not have a TV Lounge?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm : dorm_name (text) , dormid (number) | has_amenity : dormid (number) , amenid (number) | dorm_amenity : amenid (number) , amenity_name (text)", "shrink-score": 0.6842105263157895}
{"db_id": "dorm_1", "question": "Find the first and last name of students who are living in the dorms that have amenity TV Lounge.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | lives_in : stuid (number) , dormid (number) | has_amenity : dormid (number) , amenid (number) | dorm_amenity : amenid (number) , amenity_name (text)", "shrink-score": 0.5263157894736842}
{"db_id": "dorm_1", "question": "What are the first and last names of all students who are living in a dorm with a TV Lounge?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | lives_in : stuid (number) , dormid (number) | has_amenity : dormid (number) , amenid (number) | dorm_amenity : amenid (number) , amenity_name (text)", "shrink-score": 0.5263157894736842}
{"db_id": "dorm_1", "question": "Find the first name and age of students who are living in the dorms that do not have amenity TV Lounge.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , age (number) , stuid (number) | lives_in : stuid (number) , dormid (number) | has_amenity : dormid (number) , amenid (number) | dorm_amenity : amenid (number) , amenity_name (text)", "shrink-score": 0.5263157894736842}
{"db_id": "dorm_1", "question": "What is the first name and age of every student who lives in a dorm with a TV Lounge?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "student : fname (text) , age (number) , stuid (number) | lives_in : stuid (number) , dormid (number) | has_amenity : dormid (number) , amenid (number) | dorm_amenity : amenid (number) , amenity_name (text)", "shrink-score": 0.5263157894736842}
{"db_id": "dorm_1", "question": "Find the name of amenities of the dorm where the student with last name Smith is living in.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm_amenity : amenity_name (text) , amenid (number) | dorm : dormid (number) | has_amenity : dormid (number) , amenid (number) | lives_in : dormid (number) , stuid (number) | student : stuid (number) , lname (text)", "shrink-score": 0.5263157894736842}
{"db_id": "dorm_1", "question": "What are the amenities in the dorm that a student who has the last name of Smith lives in?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | dorm : dormid (number) , dorm_name (text) , student_capacity (number) , gender (text) | dorm_amenity : amenid (number) , amenity_name (text) | has_amenity : dormid (number) , amenid (number) | lives_in : stuid (number) , dormid (number) , room_number (number)", "summarized-schema": "dorm_amenity : amenity_name (text) , amenid (number) | dorm : dormid (number) | has_amenity : dormid (number) , amenid (number) | lives_in : dormid (number) , stuid (number) | student : stuid (number) , lname (text)", "shrink-score": 0.5263157894736842}
{"db_id": "customer_complaints", "question": "How many customers are there?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : customer_id (number)", "shrink-score": 0.967741935483871}
{"db_id": "customer_complaints", "question": "Count the number of customers.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : customer_id (number)", "shrink-score": 0.967741935483871}
{"db_id": "customer_complaints", "question": "Find the emails and phone numbers of all the customers, ordered by email address and phone number.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : email_address (text) , phone_number (text)", "shrink-score": 0.9354838709677419}
{"db_id": "customer_complaints", "question": "What are the emails and phone numbers of all customers, sorted by email address and phone number?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : email_address (text) , phone_number (text)", "shrink-score": 0.9354838709677419}
{"db_id": "customer_complaints", "question": "Which city has the least number of customers whose type code is \"Good Credit Rating\"?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : town_city (text) , customer_type_code (text) , customer_id (number)", "shrink-score": 0.9032258064516129}
{"db_id": "customer_complaints", "question": "Return the city with the customer type code \"Good Credit Rating\" that had the fewest customers.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : town_city (text) , customer_type_code (text) , customer_id (number)", "shrink-score": 0.9032258064516129}
{"db_id": "customer_complaints", "question": "List the name of all products along with the number of complaints that they have received.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "products : product_name (text) , product_id (number) | complaints : product_id (number)", "shrink-score": 0.9032258064516129}
{"db_id": "customer_complaints", "question": "What are all the different product names, and how many complains has each received?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "products : product_name (text) , product_id (number) | complaints : product_id (number)", "shrink-score": 0.9032258064516129}
{"db_id": "customer_complaints", "question": "Find the emails of customers who has filed a complaints of the product with the most complaints.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : email_address (text) , customer_id (number) | complaints : customer_id (number)", "shrink-score": 0.9032258064516129}
{"db_id": "customer_complaints", "question": "What are the emails of customers who have filed complaints on the product which has had the greatest number of complaints?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : email_address (text) , customer_id (number) | complaints : customer_id (number)", "shrink-score": 0.9032258064516129}
{"db_id": "customer_complaints", "question": "Which products has been complained by the customer who has filed least amount of complaints?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "products : product_name (text) , product_id (number) | complaints : product_id (number) , customer_id (number) | customers : customer_id (number)", "shrink-score": 0.8387096774193549}
{"db_id": "customer_complaints", "question": "Return the names of products that have had complaints filed by the customer who has filed the fewest complaints.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "products : product_name (text) , product_id (number) | complaints : product_id (number) , customer_id (number) | customers : customer_id (number)", "shrink-score": 0.8387096774193549}
{"db_id": "customer_complaints", "question": "What is the phone number of the customer who has filed the most recent complaint?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : phone_number (text) , customer_id (number) | complaints : customer_id (number) , date_complaint_raised (time)", "shrink-score": 0.8709677419354839}
{"db_id": "customer_complaints", "question": "Return the phone number of the customer who filed the complaint that was raised most recently.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : phone_number (text) , customer_id (number) | complaints : customer_id (number) , date_complaint_raised (time)", "shrink-score": 0.8709677419354839}
{"db_id": "customer_complaints", "question": "Find the email and phone number of the customers who have never filed a complaint before.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : email_address (text) , phone_number (text) , customer_id (number) | complaints : customer_id (number)", "shrink-score": 0.8709677419354839}
{"db_id": "customer_complaints", "question": "What are the emails and phone numbers of custoemrs who have never filed a complaint?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : email_address (text) , phone_number (text) , customer_id (number) | complaints : customer_id (number)", "shrink-score": 0.8709677419354839}
{"db_id": "customer_complaints", "question": "Find the phone number of all the customers and staff.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "staff : phone_number (text) | customers : phone_number (text)", "shrink-score": 0.9354838709677419}
{"db_id": "customer_complaints", "question": "What are the phone numbers of all customers and all staff members?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "staff : phone_number (text) | customers : phone_number (text)", "shrink-score": 0.9354838709677419}
{"db_id": "customer_complaints", "question": "What is the description of the product named \"Chocolate\"?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "products : product_description (text) , product_name (text)", "shrink-score": 0.9354838709677419}
{"db_id": "customer_complaints", "question": "Return the description of the product called \"Chocolate\".", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "products : product_description (text) , product_name (text)", "shrink-score": 0.9354838709677419}
{"db_id": "customer_complaints", "question": "Find the name and category of the most expensive product.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "products : product_name (text) , product_category_code (text) , product_price (number)", "shrink-score": 0.9032258064516129}
{"db_id": "customer_complaints", "question": "What is the name and category code of the product with the highest price?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "products : product_name (text) , product_category_code (text) , product_price (number)", "shrink-score": 0.9032258064516129}
{"db_id": "customer_complaints", "question": "Find the prices of products which has never received a single complaint.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "products : product_price (number) , product_id (number) | complaints : product_id (number)", "shrink-score": 0.9032258064516129}
{"db_id": "customer_complaints", "question": "What are the prices of products that have never gotten a complaint?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "products : product_price (number) , product_id (number) | complaints : product_id (number)", "shrink-score": 0.9032258064516129}
{"db_id": "customer_complaints", "question": "What is the average price of the products for each category?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "products : product_price (number) , product_category_code (text)", "shrink-score": 0.9354838709677419}
{"db_id": "customer_complaints", "question": "Return the average price of products that have each category code.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "products : product_price (number) , product_category_code (text)", "shrink-score": 0.9354838709677419}
{"db_id": "customer_complaints", "question": "Find the last name of the staff member who processed the complaint of the cheapest product.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "staff : last_name (text) , staff_id (number) | complaints : staff_id (number) , product_id (number) | products : product_id (number) , product_price (number)", "shrink-score": 0.8064516129032258}
{"db_id": "customer_complaints", "question": "What is the last name of the staff member in charge of the complaint on the product with the lowest price?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "staff : last_name (text) , staff_id (number) | complaints : staff_id (number) , product_id (number) | products : product_id (number) , product_price (number)", "shrink-score": 0.8064516129032258}
{"db_id": "customer_complaints", "question": "Which complaint status has more than 3 records on file?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "complaints : complaint_status_code (text)", "shrink-score": 0.967741935483871}
{"db_id": "customer_complaints", "question": "Return complaint status codes have more than 3 corresponding complaints?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "complaints : complaint_status_code (text)", "shrink-score": 0.967741935483871}
{"db_id": "customer_complaints", "question": "Find the last name of the staff whose email address contains \"wrau\".", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "staff : last_name (text) , email_address (text)", "shrink-score": 0.9354838709677419}
{"db_id": "customer_complaints", "question": "What are the last names of staff with email addressed containing the substring \"wrau\"?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "staff : last_name (text) , email_address (text)", "shrink-score": 0.9354838709677419}
{"db_id": "customer_complaints", "question": "How many customers are there in the customer type with the most customers?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : customer_type_code (text) , customer_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "customer_complaints", "question": "Count the number of customers that have the customer type that is most common.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : customer_type_code (text) , customer_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "customer_complaints", "question": "What is the last name of the staff who has handled the first ever complaint?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "staff : last_name (text) , staff_id (number) | complaints : staff_id (number) , date_complaint_raised (time)", "shrink-score": 0.8709677419354839}
{"db_id": "customer_complaints", "question": "Return the last name of the staff member who handled the complaint with the earliest date raised.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "staff : last_name (text) , staff_id (number) | complaints : staff_id (number) , date_complaint_raised (time)", "shrink-score": 0.8709677419354839}
{"db_id": "customer_complaints", "question": "How many distinct complaint type codes are there in the database?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "complaints : complaint_type_code (text)", "shrink-score": 0.967741935483871}
{"db_id": "customer_complaints", "question": "Count the number of different complaint type codes.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "complaints : complaint_type_code (text)", "shrink-score": 0.967741935483871}
{"db_id": "customer_complaints", "question": "Find the address line 1 and 2 of the customer with email \"vbogisich@example.org\".", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : address_line_1 (text) , address_line_2 (text) , email_address (text)", "shrink-score": 0.9032258064516129}
{"db_id": "customer_complaints", "question": "What are lines 1 and 2 of the addressed of the customer with the email \"vbogisich@example.org\"?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : address_line_1 (text) , address_line_2 (text) , email_address (text)", "shrink-score": 0.9032258064516129}
{"db_id": "customer_complaints", "question": "Find the number of complaints with Product Failure type for each complaint status.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "complaints : complaint_status_code (text) , complaint_type_code (text)", "shrink-score": 0.9354838709677419}
{"db_id": "customer_complaints", "question": "Of complaints with the type code \"Product Failure\", how many had each different status code?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "complaints : complaint_status_code (text) , complaint_type_code (text)", "shrink-score": 0.9354838709677419}
{"db_id": "customer_complaints", "question": "What is first names of the top 5 staff who have handled the greatest number of complaints?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "staff : first_name (text) , staff_id (number) | complaints : staff_id (number)", "shrink-score": 0.9032258064516129}
{"db_id": "customer_complaints", "question": "Return the first names of the 5 staff members who have handled the most complaints.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "staff : first_name (text) , staff_id (number) | complaints : staff_id (number)", "shrink-score": 0.9032258064516129}
{"db_id": "customer_complaints", "question": "Which state has the most customers?", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : state (text) , customer_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "customer_complaints", "question": "Give the state that has the most customers.", "schema": "staff : staff_id (number) , gender (text) , first_name (text) , last_name (text) , email_address (text) , phone_number (text) | customers : customer_id (number) , customer_type_code (text) , address_line_1 (text) , address_line_2 (text) , town_city (text) , state (text) , email_address (text) , phone_number (text) | products : product_id (number) , parent_product_id (number) , product_category_code (text) , date_product_first_available (time) , date_product_discontinued (time) , product_name (text) , product_description (text) , product_price (number) | complaints : complaint_id (number) , product_id (number) , customer_id (number) , complaint_outcome_code (text) , complaint_status_code (text) , complaint_type_code (text) , date_complaint_raised (time) , date_complaint_closed (time) , staff_id (number)", "summarized-schema": "customers : state (text) , customer_id (number)", "shrink-score": 0.9354838709677419}
{"db_id": "workshop_paper", "question": "How many submissions are there?", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : submission_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "workshop_paper", "question": "Count the number of submissions.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : submission_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "workshop_paper", "question": "List the authors of submissions in ascending order of scores.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , scores (number)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "Find the author for each submission and list them in ascending order of submission score.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , scores (number)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "What are the authors of submissions and their colleges?", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , college (text)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "For each submission, show the author and their affiliated college.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , college (text)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "Show the names of authors from college \"Florida\" or \"Temple\"", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , college (text)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "Which authors with submissions are from college \"Florida\" or \"Temple\"?", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , college (text)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "What is the average score of submissions?", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : scores (number)", "shrink-score": 0.9090909090909091}
{"db_id": "workshop_paper", "question": "Compute the average score of submissions.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : scores (number)", "shrink-score": 0.9090909090909091}
{"db_id": "workshop_paper", "question": "What is the author of the submission with the highest score?", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , scores (number)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "Find the author who achieved the highest score in a submission.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , scores (number)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "Show different colleges along with the number of authors of submission from each college.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : college (text) , submission_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "For each college, return the college name and the count of authors with submissions from that college.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : college (text) , submission_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "Show the most common college of authors of submissions.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : college (text) , submission_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "Which college has the most authors with submissions?", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : college (text) , submission_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "Show the colleges that have both authors with submission score larger than 90 and authors with submission score smaller than 80.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : college (text) , scores (number)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "Which colleges have both authors with submission score above 90 and authors with submission score below 80?", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : college (text) , scores (number)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "Show the authors of submissions and the acceptance results of their submissions.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , submission_id (number) | acceptance : result (text) , submission_id (number)", "shrink-score": 0.6363636363636364}
{"db_id": "workshop_paper", "question": "For each submission, find its author and acceptance result.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , submission_id (number) | acceptance : result (text) , submission_id (number)", "shrink-score": 0.6363636363636364}
{"db_id": "workshop_paper", "question": "Show the result of the submission with the highest score.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "acceptance : result (text) , submission_id (number) | submission : submission_id (number) , scores (number)", "shrink-score": 0.6363636363636364}
{"db_id": "workshop_paper", "question": "Which submission received the highest score in acceptance result. Show me the result.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "acceptance : result (text) , submission_id (number) | submission : submission_id (number) , scores (number)", "shrink-score": 0.6363636363636364}
{"db_id": "workshop_paper", "question": "Show each author and the number of workshops they submitted to.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , submission_id (number) | acceptance : workshop_id (number) , submission_id (number)", "shrink-score": 0.6363636363636364}
{"db_id": "workshop_paper", "question": "How many workshops did each author submit to? Return the author name and the number of workshops.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , submission_id (number) | acceptance : workshop_id (number) , submission_id (number)", "shrink-score": 0.6363636363636364}
{"db_id": "workshop_paper", "question": "Show the authors who have submissions to more than one workshop.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , submission_id (number) | acceptance : submission_id (number) , workshop_id (number)", "shrink-score": 0.6363636363636364}
{"db_id": "workshop_paper", "question": "Which authors have submitted to more than one workshop?", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , submission_id (number) | acceptance : submission_id (number) , workshop_id (number)", "shrink-score": 0.6363636363636364}
{"db_id": "workshop_paper", "question": "Show the date and venue of each workshop in ascending alphabetical order of the venue.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "workshop : date (text) , venue (text)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "Sort the each workshop in alphabetical order of the venue. Return the date and venue of each workshop.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "workshop : date (text) , venue (text)", "shrink-score": 0.8181818181818182}
{"db_id": "workshop_paper", "question": "List the authors who do not have submission to any workshop.", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , submission_id (number) | acceptance : submission_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "workshop_paper", "question": "Which authors did not submit to any workshop?", "schema": "workshop : workshop_id (number) , date (text) , venue (text) , name (text) | submission : submission_id (number) , scores (number) , author (text) , college (text) | acceptance : submission_id (number) , workshop_id (number) , result (text)", "summarized-schema": "submission : author (text) , submission_id (number) | acceptance : submission_id (number)", "shrink-score": 0.7272727272727273}
{"db_id": "tracking_share_transactions", "question": "Find the number of investors in total.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "investors : investor_id (number)", "shrink-score": 0.95}
{"db_id": "tracking_share_transactions", "question": "Show all investor details.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "investors : investor_details (text)", "shrink-score": 0.95}
{"db_id": "tracking_share_transactions", "question": "Show all distinct lot details.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "lots : lot_details (text)", "shrink-score": 0.95}
{"db_id": "tracking_share_transactions", "question": "Show the maximum amount of transaction.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : amount_of_transaction (number)", "shrink-score": 0.95}
{"db_id": "tracking_share_transactions", "question": "Show all date and share count of transactions.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : date_of_transaction (time) , share_count (text)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "What is the total share of transactions?", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : share_count (text)", "shrink-score": 0.95}
{"db_id": "tracking_share_transactions", "question": "Show all transaction ids with transaction code 'PUR'.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : transaction_id (number) , transaction_type_code (text)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "Show all dates of transactions whose type code is \"SALE\".", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : date_of_transaction (time) , transaction_type_code (text)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "Show the average amount of transactions with type code \"SALE\".", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : amount_of_transaction (number) , transaction_type_code (text)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "Show the description of transaction type with code \"PUR\".", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "ref_transaction_types : transaction_type_description (text) , transaction_type_code (text)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "Show the minimum amount of transactions whose type code is \"PUR\" and whose share count is bigger than 50.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : amount_of_transaction (number) , transaction_type_code (text) , share_count (text)", "shrink-score": 0.85}
{"db_id": "tracking_share_transactions", "question": "Show the maximum share count of transactions where the amount is smaller than 10000", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : share_count (text) , amount_of_transaction (number)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "Show the dates of transactions if the share count is bigger than 100 or the amount is bigger than 1000.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : date_of_transaction (time) , share_count (text) , amount_of_transaction (number)", "shrink-score": 0.85}
{"db_id": "tracking_share_transactions", "question": "Show the transaction type descriptions and dates if the share count is smaller than 10.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "ref_transaction_types : transaction_type_description (text) , transaction_type_code (text) | transactions : date_of_transaction (time) , transaction_type_code (text) , share_count (text)", "shrink-score": 0.75}
{"db_id": "tracking_share_transactions", "question": "Show details of all investors if they make any transaction with share count greater than 100.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "investors : investor_details (text) , investor_id (number) | transactions : investor_id (number) , share_count (text)", "shrink-score": 0.8}
{"db_id": "tracking_share_transactions", "question": "How many distinct transaction types are used in the transactions?", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : transaction_type_code (text)", "shrink-score": 0.95}
{"db_id": "tracking_share_transactions", "question": "Return the lot details and investor ids.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "lots : lot_details (text) , investor_id (number)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "Return the lot details of lots that belong to investors with details \"l\"?", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "lots : lot_details (text) , investor_id (number) | investors : investor_id (number) , investor_details (text)", "shrink-score": 0.8}
{"db_id": "tracking_share_transactions", "question": "What are the purchase details of transactions with amount bigger than 10000?", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "purchases : purchase_details (text) , purchase_transaction_id (number) | transactions : transaction_id (number) , amount_of_transaction (number)", "shrink-score": 0.8}
{"db_id": "tracking_share_transactions", "question": "What are the sale details and dates of transactions with amount smaller than 3000?", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "sales : sales_details (text) , sales_transaction_id (number) | transactions : date_of_transaction (time) , transaction_id (number) , amount_of_transaction (number)", "shrink-score": 0.75}
{"db_id": "tracking_share_transactions", "question": "What are the lot details of lots associated with transactions with share count smaller than 50?", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "lots : lot_details (text) , lot_id (number) | transactions_lots : lot_id (number) , transaction_id (number) | transactions : transaction_id (number) , share_count (text)", "shrink-score": 0.7}
{"db_id": "tracking_share_transactions", "question": "What are the lot details of lots associated with transactions whose share count is bigger than 100 and whose type code is \"PUR\"?", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "lots : lot_details (text) , lot_id (number) | transactions_lots : lot_id (number) , transaction_id (number) | transactions : transaction_id (number) , share_count (text) , transaction_type_code (text)", "shrink-score": 0.65}
{"db_id": "tracking_share_transactions", "question": "Show the average transaction amount for different transaction types.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : transaction_type_code (text) , amount_of_transaction (number)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "Show the maximum and minimum share count of different transaction types.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : transaction_type_code (text) , share_count (text)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "Show the average share count of transactions for different investors.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : investor_id (number) , share_count (text)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "Show the average share count of transactions each each investor, ordered by average share count.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : investor_id (number) , share_count (text)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "Show the average amount of transactions for different investors.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : investor_id (number) , amount_of_transaction (number)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "Show the average amount of transactions for different lots.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions_lots : lot_id (number) , transaction_id (number) | transactions : amount_of_transaction (number) , transaction_id (number)", "shrink-score": 0.8}
{"db_id": "tracking_share_transactions", "question": "Show the average amount of transactions for different lots, ordered by average amount of transactions.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions_lots : lot_id (number) , transaction_id (number) | transactions : amount_of_transaction (number) , transaction_id (number)", "shrink-score": 0.8}
{"db_id": "tracking_share_transactions", "question": "Show the number of transactions with transaction type code \"SALE\" for different investors if it is larger than 0.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : investor_id (number) , transaction_type_code (text) , transaction_id (number)", "shrink-score": 0.85}
{"db_id": "tracking_share_transactions", "question": "Show the number of transactions for different investors.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : investor_id (number) , transaction_id (number)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "Show the transaction type code that occurs the fewest times.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : transaction_type_code (text) , transaction_id (number)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "Show the transaction type code that occurs the most frequently.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : transaction_type_code (text) , transaction_id (number)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "Show the description of the transaction type that occurs most frequently.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "ref_transaction_types : transaction_type_description (text) , transaction_type_code (text) | transactions : transaction_type_code (text) , transaction_id (number)", "shrink-score": 0.8}
{"db_id": "tracking_share_transactions", "question": "Show the id and details of the investor that has the largest number of transactions.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "investors : investor_id (number) , investor_details (text) | transactions : investor_id (number) , transaction_id (number)", "shrink-score": 0.8}
{"db_id": "tracking_share_transactions", "question": "Show the id and details for the investors who have the top 3 number of transactions.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "investors : investor_id (number) , investor_details (text) | transactions : investor_id (number) , transaction_id (number)", "shrink-score": 0.8}
{"db_id": "tracking_share_transactions", "question": "Show the ids of the investors who have at least two transactions.", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "investors : investor_id (number) | transactions : investor_id (number) , transaction_id (number)", "shrink-score": 0.85}
{"db_id": "tracking_share_transactions", "question": "Show the ids and details of the investors who have at least two transactions with type code \"SALE\".", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "investors : investor_id (number) , investor_details (text) | transactions : investor_id (number) , transaction_type_code (text) , transaction_id (number)", "shrink-score": 0.75}
{"db_id": "tracking_share_transactions", "question": "What are the dates of transactions with at least 100 share count or amount bigger than 100?", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "transactions : date_of_transaction (time) , share_count (text) , amount_of_transaction (number)", "shrink-score": 0.85}
{"db_id": "tracking_share_transactions", "question": "What are the details of all sales and purchases?", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "sales : sales_details (text) | purchases : purchase_details (text)", "shrink-score": 0.9}
{"db_id": "tracking_share_transactions", "question": "What are the details of the lots which are not used in any transactions?", "schema": "investors : investor_id (number) , investor_details (text) | lots : lot_id (number) , investor_id (number) , lot_details (text) | ref_transaction_types : transaction_type_code (text) , transaction_type_description (text) | transactions : transaction_id (number) , investor_id (number) , transaction_type_code (text) , date_of_transaction (time) , amount_of_transaction (number) , share_count (text) , other_details (text) | sales : sales_transaction_id (number) , sales_details (text) | purchases : purchase_transaction_id (number) , purchase_details (text) | transactions_lots : transaction_id (number) , lot_id (number)", "summarized-schema": "lots : lot_details (text) , lot_id (number) | transactions_lots : lot_id (number)", "shrink-score": 0.85}
{"db_id": "cre_Theme_park", "question": "How many available hotels are there in total?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : hotel_id (number)", "shrink-score": 0.9807692307692307}
{"db_id": "cre_Theme_park", "question": "Find the total number of available hotels.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : hotel_id (number)", "shrink-score": 0.9807692307692307}
{"db_id": "cre_Theme_park", "question": "What are the price ranges of hotels?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : price_range (number)", "shrink-score": 0.9807692307692307}
{"db_id": "cre_Theme_park", "question": "Tell me the price ranges for all the hotels.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : price_range (number)", "shrink-score": 0.9807692307692307}
{"db_id": "cre_Theme_park", "question": "Show all distinct location names.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "locations : location_name (text)", "shrink-score": 0.9807692307692307}
{"db_id": "cre_Theme_park", "question": "What are the distinct location names?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "locations : location_name (text)", "shrink-score": 0.9807692307692307}
{"db_id": "cre_Theme_park", "question": "Show the names and details of all the staff members.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "staff : name (text) , other_details (text)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "What is the name and detail of each staff member?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "staff : name (text) , other_details (text)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "Show details of all visitors.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "visitors : tourist_details (text)", "shrink-score": 0.9807692307692307}
{"db_id": "cre_Theme_park", "question": "What is the detail of each visitor?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "visitors : tourist_details (text)", "shrink-score": 0.9807692307692307}
{"db_id": "cre_Theme_park", "question": "Show the price ranges of hotels with 5 star ratings.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : price_range (number) , star_rating_code (text)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "What are the price ranges of five star hotels?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : price_range (number) , star_rating_code (text)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "Show the average price range of hotels that have 5 star ratings and allow pets.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : price_range (number) , star_rating_code (text) , pets_allowed_yn (text)", "shrink-score": 0.9423076923076923}
{"db_id": "cre_Theme_park", "question": "What is the average price range of five star hotels that allow pets?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : price_range (number) , star_rating_code (text) , pets_allowed_yn (text)", "shrink-score": 0.9423076923076923}
{"db_id": "cre_Theme_park", "question": "What is the address of the location \"UK Gallery\"?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "locations : address (text) , location_name (text)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "Find the address of the location named \"UK Gallery\".", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "locations : address (text) , location_name (text)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "What is the detail of the location UK Gallery?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "locations : other_details (text) , location_name (text)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "Return the detail of the location named \"UK Gallery\".", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "locations : other_details (text) , location_name (text)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "Which location names contain the word \"film\"?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "locations : location_name (text)", "shrink-score": 0.9807692307692307}
{"db_id": "cre_Theme_park", "question": "Find all the locations whose names contain the word \"film\".", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "locations : location_name (text)", "shrink-score": 0.9807692307692307}
{"db_id": "cre_Theme_park", "question": "How many distinct names are associated with all the photos?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "photos : name (text)", "shrink-score": 0.9807692307692307}
{"db_id": "cre_Theme_park", "question": "Count the number of distinct names associated with the photos.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "photos : name (text)", "shrink-score": 0.9807692307692307}
{"db_id": "cre_Theme_park", "question": "What are the distinct visit dates?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "visits : visit_date (time)", "shrink-score": 0.9807692307692307}
{"db_id": "cre_Theme_park", "question": "Find all the distinct visit dates.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "visits : visit_date (time)", "shrink-score": 0.9807692307692307}
{"db_id": "cre_Theme_park", "question": "What are the names of the tourist attractions that can be accessed by bus?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , how_to_get_there (text)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "Which tourist attractions can we get to by bus? Tell me the names of the attractions.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , how_to_get_there (text)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "What are the names and opening hours of the tourist attractions that can be accessed by bus or walk?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , opening_hours (text) , how_to_get_there (text)", "shrink-score": 0.9423076923076923}
{"db_id": "cre_Theme_park", "question": "Find the names and opening hours of the tourist attractions that we get to by bus or walk.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , opening_hours (text) , how_to_get_there (text)", "shrink-score": 0.9423076923076923}
{"db_id": "cre_Theme_park", "question": "What are the star rating descriptions of the hotels with price above 10000?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "ref_hotel_star_ratings : star_rating_description (text) , star_rating_code (text) | hotels : star_rating_code (text) , price_range (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "Give me the star rating descriptions of the hotels that cost more than 10000.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "ref_hotel_star_ratings : star_rating_description (text) , star_rating_code (text) | hotels : star_rating_code (text) , price_range (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "What are the details and opening hours of the museums?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "museums : museum_details (text) , museum_id (number) | tourist_attractions : opening_hours (text) , tourist_attraction_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "Give me the detail and opening hour for each museum.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "museums : museum_details (text) , museum_id (number) | tourist_attractions : opening_hours (text) , tourist_attraction_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "What is the name of the tourist attraction that is associated with the photo \"game1\"?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | photos : name (text) , tourist_attraction_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "Which tourist attraction is associated with the photo \"game1\"? Return its name.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | photos : name (text) , tourist_attraction_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "What are the names and descriptions of the photos taken at the tourist attraction \"film festival\"?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , description (text) , tourist_attraction_id (number) | photos : name (text) , description (text) , tourist_attraction_id (number)", "shrink-score": 0.8846153846153846}
{"db_id": "cre_Theme_park", "question": "Find the names and descriptions of the photos taken at the tourist attraction called \"film festival\".", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , description (text) , tourist_attraction_id (number) | photos : name (text) , description (text) , tourist_attraction_id (number)", "shrink-score": 0.8846153846153846}
{"db_id": "cre_Theme_park", "question": "What are the details and ways to get to tourist attractions related to royal family?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "royal_family : royal_family_details (text) , royal_family_id (number) | tourist_attractions : how_to_get_there (text) , tourist_attraction_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "Which tourist attractions are related to royal family? Tell me their details and how we can get there.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "royal_family : royal_family_details (text) , royal_family_id (number) | tourist_attractions : how_to_get_there (text) , tourist_attraction_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "What are the details of the shops that can be accessed by walk?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "shops : shop_details (text) , shop_id (number) | tourist_attractions : tourist_attraction_id (number) , how_to_get_there (text)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "Find the details of the shops that can be reached by walk.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "shops : shop_details (text) , shop_id (number) | tourist_attractions : tourist_attraction_id (number) , how_to_get_there (text)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "What is the name of the staff that is in charge of the attraction named \"US museum\"?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | staff : name (text) , tourist_attraction_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "Tell me the name of the staff in charge of the attraction called \"US museum\".", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | staff : name (text) , tourist_attraction_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "What are the details of the markets that can be accessed by walk or bus?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "street_markets : market_details (text) , market_id (number) | tourist_attractions : tourist_attraction_id (number) , how_to_get_there (text)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "Find the details of all the markets that are accessible by walk or bus.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "street_markets : market_details (text) , market_id (number) | tourist_attractions : tourist_attraction_id (number) , how_to_get_there (text)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "What are the visit date and details of the visitor whose detail is 'Vincent'?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "visits : visit_date (time) , visit_details (text) , tourist_id (number) | visitors : tourist_id (number) , tourist_details (text)", "shrink-score": 0.9038461538461539}
{"db_id": "cre_Theme_park", "question": "Find the visit date and details of the tourist whose detail is 'Vincent'", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "visits : visit_date (time) , visit_details (text) , tourist_id (number) | visitors : tourist_id (number) , tourist_details (text)", "shrink-score": 0.9038461538461539}
{"db_id": "cre_Theme_park", "question": "Which tourist attractions does the visitor with detail 'Vincent' visit?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | visits : tourist_attraction_id (number) , tourist_id (number) | visitors : tourist_id (number) , tourist_details (text)", "shrink-score": 0.8846153846153846}
{"db_id": "cre_Theme_park", "question": "Show the tourist attractions visited by the tourist whose detail is 'Vincent'.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | visits : tourist_attraction_id (number) , tourist_id (number) | visitors : tourist_id (number) , tourist_details (text)", "shrink-score": 0.8846153846153846}
{"db_id": "cre_Theme_park", "question": "What are the names of the tourist attractions and the dates when the tourists named Vincent or Vivian visited there?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | visits : visit_date (time) , tourist_attraction_id (number) , tourist_id (number) | visitors : tourist_id (number) , tourist_details (text)", "shrink-score": 0.8653846153846154}
{"db_id": "cre_Theme_park", "question": "For each tourist attraction, return its name and the date when the tourists named Vincent or Vivian visited there.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | visits : visit_date (time) , tourist_attraction_id (number) , tourist_id (number) | visitors : tourist_id (number) , tourist_details (text)", "shrink-score": 0.8653846153846154}
{"db_id": "cre_Theme_park", "question": "Show the average price of hotels for each star rating code.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : star_rating_code (text) , price_range (number)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "What is the average price range of hotels for each each star rating code?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : star_rating_code (text) , price_range (number)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "Show the average price of hotels for different pet policy.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : pets_allowed_yn (text) , price_range (number)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "What are the average prices of hotels grouped by their pet policy.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : pets_allowed_yn (text) , price_range (number)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "Show the id and star rating of each hotel, ordered by its price from low to high.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : hotel_id (number) , star_rating_code (text) , price_range (number)", "shrink-score": 0.9423076923076923}
{"db_id": "cre_Theme_park", "question": "Find the id and star rating of each hotel and sort them in increasing order of price.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : hotel_id (number) , star_rating_code (text) , price_range (number)", "shrink-score": 0.9423076923076923}
{"db_id": "cre_Theme_park", "question": "Show the details of the top 3 most expensive hotels.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : other_hotel_details (text) , price_range (number)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "What are the details of the three most expensive hotels?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : other_hotel_details (text) , price_range (number)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "Show the details and star ratings of the 3 least expensive hotels.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : other_hotel_details (text) , star_rating_code (text) , price_range (number)", "shrink-score": 0.9423076923076923}
{"db_id": "cre_Theme_park", "question": "What are the details and star ratings of the three hotels with the lowest price ranges?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "hotels : other_hotel_details (text) , star_rating_code (text) , price_range (number)", "shrink-score": 0.9423076923076923}
{"db_id": "cre_Theme_park", "question": "Show the transportation method most people choose to get to tourist attractions.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : how_to_get_there (text) , tourist_attraction_id (number)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "Which transportation method is used the most often to get to tourist attractions?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : how_to_get_there (text) , tourist_attraction_id (number)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "Show the description and code of the attraction type most tourist attractions belong to.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "ref_attraction_types : attraction_type_description (text) , attraction_type_code (text) | tourist_attractions : attraction_type_code (text) , tourist_attraction_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "Which attraction type does the most tourist attractions belong to? Tell me its  attraction type description and code.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "ref_attraction_types : attraction_type_description (text) , attraction_type_code (text) | tourist_attractions : attraction_type_code (text) , tourist_attraction_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "Show different ways to get to attractions and the number of attractions that can be accessed in the corresponding way.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : how_to_get_there (text) , tourist_attraction_id (number)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "List all the possible ways to get to attractions, together with the number of attractions accessible by these methods.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : how_to_get_there (text) , tourist_attraction_id (number)", "shrink-score": 0.9615384615384616}
{"db_id": "cre_Theme_park", "question": "Show different tourist attractions' names, ids, and the corresponding number of visits.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | visits : tourist_attraction_id (number) , visit_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "What are the name, id and the corresponding number of visits for each  tourist attraction?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | visits : tourist_attraction_id (number) , visit_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "Show the names and ids of tourist attractions that are visited at least two times.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | visits : tourist_attraction_id (number) , visit_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "Which tourist attractions are visited at least twice? Give me their names and ids.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | visits : tourist_attraction_id (number) , visit_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "Show the names and ids of tourist attractions that are visited at most once.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | visits : tourist_attraction_id (number) , visit_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "What are the names and ids of the tourist attractions that are visited at most once?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | visits : tourist_attraction_id (number) , visit_id (number)", "shrink-score": 0.9230769230769231}
{"db_id": "cre_Theme_park", "question": "What are the names of tourist attractions that can be reached by walk or is at address 660 Shea Crescent?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , location_id (number) , how_to_get_there (text) | locations : location_id (number) , address (text)", "shrink-score": 0.9038461538461539}
{"db_id": "cre_Theme_park", "question": "Find the names of the tourist attractions that is either accessible by walk or at address 660 Shea Crescent.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , location_id (number) , how_to_get_there (text) | locations : location_id (number) , address (text)", "shrink-score": 0.9038461538461539}
{"db_id": "cre_Theme_park", "question": "What are the names of the tourist attractions that have parking or shopping as their feature details?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number) | features : feature_id (number) , feature_details (text)", "shrink-score": 0.8846153846153846}
{"db_id": "cre_Theme_park", "question": "Find the tourist attractions that have parking or shopping as their feature details. What are the names of the attractions?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number) | features : feature_id (number) , feature_details (text)", "shrink-score": 0.8846153846153846}
{"db_id": "cre_Theme_park", "question": "What are the names of tourist attractions that can be reached by bus or is at address 254 Ottilie Junction?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , location_id (number) , how_to_get_there (text) | locations : location_id (number) , address (text)", "shrink-score": 0.9038461538461539}
{"db_id": "cre_Theme_park", "question": "Find the names of the tourist attractions that is either accessible by bus or at address 254 Ottilie Junction.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , location_id (number) , how_to_get_there (text) | locations : location_id (number) , address (text)", "shrink-score": 0.9038461538461539}
{"db_id": "cre_Theme_park", "question": "What are the names of the tourist attractions Vincent and Marcelle visit?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | visits : tourist_attraction_id (number) , tourist_id (number) | visitors : tourist_id (number) , tourist_details (text)", "shrink-score": 0.8846153846153846}
{"db_id": "cre_Theme_park", "question": "Which tourist attractions do the tourists Vincent and Marcelle visit? Tell me the names of the attractions.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | visits : tourist_attraction_id (number) , tourist_id (number) | visitors : tourist_id (number) , tourist_details (text)", "shrink-score": 0.8846153846153846}
{"db_id": "cre_Theme_park", "question": "What are the names of tourist attraction that Alison visited but Rosalind did not visit?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | visits : tourist_attraction_id (number) , tourist_id (number) | visitors : tourist_id (number) , tourist_details (text)", "shrink-score": 0.8846153846153846}
{"db_id": "cre_Theme_park", "question": "Find the the names of the tourist attractions that the tourist named Alison visited but Rosalind did not visit.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "tourist_attractions : name (text) , tourist_attraction_id (number) | visits : tourist_attraction_id (number) , tourist_id (number) | visitors : tourist_id (number) , tourist_details (text)", "shrink-score": 0.8846153846153846}
{"db_id": "cre_Theme_park", "question": "How many tourists did not make any visit?", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "visitors : tourist_id (number) | visits : tourist_id (number) , visit_id (number)", "shrink-score": 0.9423076923076923}
{"db_id": "cre_Theme_park", "question": "Count the number of tourists who did not visit any place.", "schema": "ref_hotel_star_ratings : star_rating_code (text) , star_rating_description (text) | locations : location_id (number) , location_name (text) , address (text) , other_details (text) | ref_attraction_types : attraction_type_code (text) , attraction_type_description (text) | visitors : tourist_id (number) , tourist_details (text) | features : feature_id (number) , feature_details (text) | hotels : hotel_id (number) , star_rating_code (text) , pets_allowed_yn (text) , price_range (number) , other_hotel_details (text) | tourist_attractions : tourist_attraction_id (number) , attraction_type_code (text) , location_id (number) , how_to_get_there (text) , name (text) , description (text) , opening_hours (text) , other_details (text) | street_markets : market_id (number) , market_details (text) | shops : shop_id (number) , shop_details (text) | museums : museum_id (number) , museum_details (text) | royal_family : royal_family_id (number) , royal_family_details (text) | theme_parks : theme_park_id (number) , theme_park_details (text) | visits : visit_id (number) , tourist_attraction_id (number) , tourist_id (number) , visit_date (time) , visit_details (text) | photos : photo_id (number) , tourist_attraction_id (number) , name (text) , description (text) , filename (text) , other_details (text) | staff : staff_id (number) , tourist_attraction_id (number) , name (text) , other_details (text) | tourist_attraction_features : tourist_attraction_id (number) , feature_id (number)", "summarized-schema": "visitors : tourist_id (number) | visits : tourist_id (number) , visit_id (number)", "shrink-score": 0.9423076923076923}
{"db_id": "game_1", "question": "How many video games exist?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gameid (number)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "How many video games do you have?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gameid (number)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "How many video game types exist?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gtype (text)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "What is the count of different game types?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gtype (text)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "Show all video game types.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gtype (text)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "What are the different types of video games?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gtype (text)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "Show all video games and their types in the order of their names.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gname (text) , gtype (text)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are the names of all the video games and their types in alphabetical order?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gname (text) , gtype (text)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Show all video games with type Collectible card game.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gname (text) , gtype (text)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are the names of all video games that are collectible cards?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gname (text) , gtype (text)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What is the type of video game Call of Destiny.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gtype (text) , gname (text)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What type of game is Call of Destiny?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gtype (text) , gname (text)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "How many video games have type Massively multiplayer online game?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gtype (text) , gameid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Count the number of video games with Massively multiplayer online game type .", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gtype (text) , gameid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Show all video game types and the number of video games in each type.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gtype (text) , gameid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are the types of video games and how many are in each type?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gtype (text) , gameid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Which game type has most number of games?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gtype (text) , gameid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What type has the most games?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gtype (text) , gameid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Which game type has least number of games?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gtype (text) , gameid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What is the type with the fewest games?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gtype (text) , gameid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Show ids for all students who live in CHI.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : stuid (number) , city_code (text)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are the ids of all students who live in CHI?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : stuid (number) , city_code (text)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Show ids for all students who have advisor 1121.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : stuid (number) , advisor (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are the ids of all students who have advisor number 1121?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : stuid (number) , advisor (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Show first name for all students with major 600.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : fname (text) , major (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are the first names for all students who are from the major numbered 600?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : fname (text) , major (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Show the average, minimum, and maximum age for different majors.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : major (number) , age (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are the average, minimum, and max ages for each of the different majors?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : major (number) , age (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Show all advisors who have at least two students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are the advisors", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : advisor (number) , stuid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "How many sports do we have?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : sportname (text)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "How many different types of sports do we offer?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : sportname (text)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "How many students play sports?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : stuid (number)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "How many different students are involved in sports?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : stuid (number)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "List ids for all student who are on scholarship.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : stuid (number) , onscholarship (text)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are the ids for all sporty students who are on scholarship?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : stuid (number) , onscholarship (text)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Show last names for all student who are on scholarship.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : lname (text) , stuid (number) | sportsinfo : stuid (number) , onscholarship (text)", "shrink-score": 0.7894736842105263}
{"db_id": "game_1", "question": "What are the last names for all scholarship students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : lname (text) , stuid (number) | sportsinfo : stuid (number) , onscholarship (text)", "shrink-score": 0.7894736842105263}
{"db_id": "game_1", "question": "How many games are played for all students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : gamesplayed (number)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "What is the total number of games played?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : gamesplayed (number)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "How many games are played for all football games by students on scholarship?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : gamesplayed (number) , sportname (text) , onscholarship (text)", "shrink-score": 0.8421052631578947}
{"db_id": "game_1", "question": "What is the total number of all football games played by scholarship students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : gamesplayed (number) , sportname (text) , onscholarship (text)", "shrink-score": 0.8421052631578947}
{"db_id": "game_1", "question": "Show all sport name and the number of students.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : sportname (text)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "How many students play each sport?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : sportname (text)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "Show all student IDs with the number of sports and total number of games played", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : stuid (number) , gamesplayed (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are the ids of all students along with how many sports and games did they play?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : stuid (number) , gamesplayed (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Show all student IDs with more than total 10 hours per week on all sports played.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : stuid (number) , hoursperweek (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are the student IDs for everybody who worked for more than 10 hours per week on all sports?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : stuid (number) , hoursperweek (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What is the first name and last name of the student who have most number of sports?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | sportsinfo : stuid (number)", "shrink-score": 0.7894736842105263}
{"db_id": "game_1", "question": "What is the first and last name of the student who played the most sports?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | sportsinfo : stuid (number)", "shrink-score": 0.7894736842105263}
{"db_id": "game_1", "question": "Which sport has most number of students on scholarship?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : sportname (text) , onscholarship (text)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What is the sport with the most scholarship students?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : sportname (text) , onscholarship (text)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Show student ids who don't have any sports.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : stuid (number) | sportsinfo : stuid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are the ids of all students who don't play sports?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : stuid (number) | sportsinfo : stuid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Show student ids who are on scholarship and have major 600.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : stuid (number) , major (number) | sportsinfo : stuid (number) , onscholarship (text)", "shrink-score": 0.7894736842105263}
{"db_id": "game_1", "question": "What are the student ids for those on scholarship in major number 600?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : stuid (number) , major (number) | sportsinfo : stuid (number) , onscholarship (text)", "shrink-score": 0.7894736842105263}
{"db_id": "game_1", "question": "Show student ids who are female and play football.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : stuid (number) , sex (text) | sportsinfo : stuid (number) , sportname (text)", "shrink-score": 0.7894736842105263}
{"db_id": "game_1", "question": "What are the ids of all female students who play football?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : stuid (number) , sex (text) | sportsinfo : stuid (number) , sportname (text)", "shrink-score": 0.7894736842105263}
{"db_id": "game_1", "question": "Show all male student ids who don't play football.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : stuid (number) , sex (text) | sportsinfo : stuid (number) , sportname (text)", "shrink-score": 0.7894736842105263}
{"db_id": "game_1", "question": "What are the ids of all male students who do not play football?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : stuid (number) , sex (text) | sportsinfo : stuid (number) , sportname (text)", "shrink-score": 0.7894736842105263}
{"db_id": "game_1", "question": "Show total hours per week and number of games played for student David Shieber.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : hoursperweek (number) , gamesplayed (number) , stuid (number) | student : stuid (number) , fname (text) , lname (text)", "shrink-score": 0.6842105263157895}
{"db_id": "game_1", "question": "What is the total number of hours per work and number of games played by David Shieber?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : hoursperweek (number) , gamesplayed (number) , stuid (number) | student : stuid (number) , fname (text) , lname (text)", "shrink-score": 0.6842105263157895}
{"db_id": "game_1", "question": "Show total hours per week and number of games played for students under 20.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : hoursperweek (number) , gamesplayed (number) , stuid (number) | student : stuid (number) , age (number)", "shrink-score": 0.7368421052631579}
{"db_id": "game_1", "question": "What is the total number of hours per week and number of games played by students under 20?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "sportsinfo : hoursperweek (number) , gamesplayed (number) , stuid (number) | student : stuid (number) , age (number)", "shrink-score": 0.7368421052631579}
{"db_id": "game_1", "question": "How many students play video games?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "plays_games : stuid (number)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "How many different students play games?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "plays_games : stuid (number)", "shrink-score": 0.9473684210526315}
{"db_id": "game_1", "question": "Show ids of students who don't play video game.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : stuid (number) | plays_games : stuid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are the ids of all students who are not video game players?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : stuid (number) | plays_games : stuid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Show ids of students who play video game and play sports.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "plays_games : stuid (number) | sportsinfo : stuid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are the ids of all students who played video games and sports?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "plays_games : stuid (number) | sportsinfo : stuid (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Show all game ids and the number of hours played.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "plays_games : gameid (number) , hours_played (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are ids and total number of hours played for each game?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "plays_games : gameid (number) , hours_played (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Show all student ids and the number of hours played.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "plays_games : stuid (number) , hours_played (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "What are the ids of all students and number of hours played?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "plays_games : stuid (number) , hours_played (number)", "shrink-score": 0.8947368421052632}
{"db_id": "game_1", "question": "Show the game name that has most number of hours played.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gname (text) , gameid (number) | plays_games : gameid (number) , hours_played (number)", "shrink-score": 0.7894736842105263}
{"db_id": "game_1", "question": "What is the name of the game that has been played the most?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gname (text) , gameid (number) | plays_games : gameid (number) , hours_played (number)", "shrink-score": 0.7894736842105263}
{"db_id": "game_1", "question": "Show all game names played by at least 1000 hours.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gname (text) , gameid (number) | plays_games : gameid (number) , hours_played (number)", "shrink-score": 0.7894736842105263}
{"db_id": "game_1", "question": "What are the names of all the games that have been played for at least 1000 hours?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gname (text) , gameid (number) | plays_games : gameid (number) , hours_played (number)", "shrink-score": 0.7894736842105263}
{"db_id": "game_1", "question": "Show all game names played by Linda Smith", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gname (text) , gameid (number) | plays_games : gameid (number) , stuid (number) | student : stuid (number) , lname (text) , fname (text)", "shrink-score": 0.631578947368421}
{"db_id": "game_1", "question": "What are the names of all games played by Linda Smith?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "video_games : gname (text) , gameid (number) | plays_games : gameid (number) , stuid (number) | student : stuid (number) , lname (text) , fname (text)", "shrink-score": 0.631578947368421}
{"db_id": "game_1", "question": "Find the last and first name of students who are playing Football or Lacrosse.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : lname (text) , fname (text) , stuid (number) | sportsinfo : stuid (number) , sportname (text)", "shrink-score": 0.7368421052631579}
{"db_id": "game_1", "question": "What is the first and last name of all students who play Football or Lacrosse?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : lname (text) , fname (text) , stuid (number) | sportsinfo : stuid (number) , sportname (text)", "shrink-score": 0.7368421052631579}
{"db_id": "game_1", "question": "Find the first name and age of the students who are playing both Football and Lacrosse.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : fname (text) , age (number) , stuid (number) | sportsinfo : stuid (number) , sportname (text)", "shrink-score": 0.7368421052631579}
{"db_id": "game_1", "question": "What are the first names and ages of all students who are playing both Football and Lacrosse?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : fname (text) , age (number) , stuid (number) | sportsinfo : stuid (number) , sportname (text)", "shrink-score": 0.7368421052631579}
{"db_id": "game_1", "question": "Find the last name and gender of the students who are playing both Call of Destiny and Works of Widenius games.", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : lname (text) , sex (text) , stuid (number) | plays_games : stuid (number) , gameid (number) | video_games : gameid (number) , gname (text)", "shrink-score": 0.631578947368421}
{"db_id": "game_1", "question": "what is the last name and gender of all students who played both Call of Destiny and Works of Widenius?", "schema": "student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | video_games : gameid (number) , gname (text) , gtype (text) | plays_games : stuid (number) , gameid (number) , hours_played (number) | sportsinfo : stuid (number) , sportname (text) , hoursperweek (number) , gamesplayed (number) , onscholarship (text)", "summarized-schema": "student : lname (text) , sex (text) , stuid (number) | plays_games : stuid (number) , gameid (number) | video_games : gameid (number) , gname (text)", "shrink-score": 0.631578947368421}
{"db_id": "customers_and_addresses", "question": "Find the name of all customers.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "What are the names of all the customers?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "How many customers are there?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_id (number)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "Return the total number of distinct customers.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_id (number)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "What is the average amount of items ordered in each order?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "order_items : order_quantity (text)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "Find the average order quantity per order.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "order_items : order_quantity (text)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "What are the names of customers who use payment method \"Cash\"?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , payment_method (text)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "Which customers use \"Cash\" for payment method? Return the customer names.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , payment_method (text)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "Find the \"date became customers\" of the customers whose ID is between 10 and 20.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : date_became_customer (time) , customer_id (number)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "What are the dates when customers with ids between 10 and 20 became customers?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : date_became_customer (time) , customer_id (number)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "Which payment method is used by most customers?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : payment_method (text) , customer_id (number)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "Find the payment method that is used most frequently.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : payment_method (text) , customer_id (number)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "What are the names of customers using the most popular payment method?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , payment_method (text) , customer_id (number)", "shrink-score": 0.90625}
{"db_id": "customers_and_addresses", "question": "Find the name of the customers who use the most frequently used payment method.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , payment_method (text) , customer_id (number)", "shrink-score": 0.90625}
{"db_id": "customers_and_addresses", "question": "What are all the payment methods?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : payment_method (text)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "Return all the distinct payment methods used by customers.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : payment_method (text)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "What are the details of all products?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "products : product_details (text)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "Return the the details of all products.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "products : product_details (text)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "Find the name of all customers whose name contains \"Alex\".", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "Which customer's name contains \"Alex\"? Find the full name.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "Find the detail of products whose detail contains the word \"Latte\" or the word \"Americano\"", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "products : product_details (text)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "Which product's detail contains the word \"Latte\" or \"Americano\"? Return the full detail.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "products : product_details (text)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "What is the address content of the customer named \"Maudie Kertzmann\"?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : address_content (text) , address_id (number) | customers : customer_id (number) , customer_name (text) | customer_addresses : customer_id (number) , address_id (number)", "shrink-score": 0.8125}
{"db_id": "customers_and_addresses", "question": "Return the address content for the customer whose name is \"Maudie Kertzmann\".", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : address_content (text) , address_id (number) | customers : customer_id (number) , customer_name (text) | customer_addresses : customer_id (number) , address_id (number)", "shrink-score": 0.8125}
{"db_id": "customers_and_addresses", "question": "How many customers are living in city \"Lake Geovannyton\"?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_id (number) | customer_addresses : customer_id (number) , address_id (number) | addresses : address_id (number) , city (text)", "shrink-score": 0.84375}
{"db_id": "customers_and_addresses", "question": "Find the number of customers who live in the city called Lake Geovannyton.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_id (number) | customer_addresses : customer_id (number) , address_id (number) | addresses : address_id (number) , city (text)", "shrink-score": 0.84375}
{"db_id": "customers_and_addresses", "question": "Find the name of customers who are living in Colorado?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_addresses : customer_id (number) , address_id (number) | addresses : address_id (number) , state_province_county (text)", "shrink-score": 0.8125}
{"db_id": "customers_and_addresses", "question": "What are the names of customers who live in Colorado state?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_addresses : customer_id (number) , address_id (number) | addresses : address_id (number) , state_province_county (text)", "shrink-score": 0.8125}
{"db_id": "customers_and_addresses", "question": "Find the list of cities that no customer is living in.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : city (text) , address_id (number) | customers : customer_id (number) | customer_addresses : customer_id (number) , address_id (number)", "shrink-score": 0.84375}
{"db_id": "customers_and_addresses", "question": "What are the cities no customers live in?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : city (text) , address_id (number) | customers : customer_id (number) | customer_addresses : customer_id (number) , address_id (number)", "shrink-score": 0.84375}
{"db_id": "customers_and_addresses", "question": "Which city has the most customers living in?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : city (text) , address_id (number) | customers : customer_id (number) | customer_addresses : customer_id (number) , address_id (number)", "shrink-score": 0.84375}
{"db_id": "customers_and_addresses", "question": "Find the city where the most customers live.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : city (text) , address_id (number) | customers : customer_id (number) | customer_addresses : customer_id (number) , address_id (number)", "shrink-score": 0.84375}
{"db_id": "customers_and_addresses", "question": "Retrieve the list of all cities.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : city (text)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "List all the distinct cities", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : city (text)", "shrink-score": 0.96875}
{"db_id": "customers_and_addresses", "question": "Find the city with post code 255.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : city (text) , zip_postcode (text)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "Which city is post code 255 located in?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : city (text) , zip_postcode (text)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "Find the state and country of all cities with post code starting with 4.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : state_province_county (text) , country (text) , zip_postcode (text)", "shrink-score": 0.90625}
{"db_id": "customers_and_addresses", "question": "What are the state and country of all the cities that have post codes starting with 4.\\", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : state_province_county (text) , country (text) , zip_postcode (text)", "shrink-score": 0.90625}
{"db_id": "customers_and_addresses", "question": "List the countries having more than 4 addresses listed.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : country (text) , address_id (number)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "For which countries are there more than four distinct addresses listed?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : country (text) , address_id (number)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "List all the contact channel codes that were used less than 5 times.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customer_contact_channels : channel_code (text) , customer_id (number)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "Which contact channel codes were used less than 5 times?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customer_contact_channels : channel_code (text) , customer_id (number)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "Which contact channel has been used by the customer with name \"Tillman Ernser\"?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customer_contact_channels : channel_code (text) , customer_id (number) | customers : customer_id (number) , customer_name (text)", "shrink-score": 0.875}
{"db_id": "customers_and_addresses", "question": "Find the contact channel code that was used by the customer named \"Tillman Ernser\".", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customer_contact_channels : channel_code (text) , customer_id (number) | customers : customer_id (number) , customer_name (text)", "shrink-score": 0.875}
{"db_id": "customers_and_addresses", "question": "What is the \"active to date\" of the latest contact channel used by \"Tillman Ernser\"?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customer_contact_channels : active_to_date (time) , customer_id (number) | customers : customer_id (number) , customer_name (text)", "shrink-score": 0.875}
{"db_id": "customers_and_addresses", "question": "Return the the \"active to date\" of the latest contact channel used by the customer named \"Tillman Ernser\".", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customer_contact_channels : active_to_date (time) , customer_id (number) | customers : customer_id (number) , customer_name (text)", "shrink-score": 0.875}
{"db_id": "customers_and_addresses", "question": "What is the average time span of contact channels in the database?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customer_contact_channels : active_to_date (time) , active_from_date (time)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "Compute the average active time span of contact channels.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customer_contact_channels : active_to_date (time) , active_from_date (time)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "What is the channel code and contact number of the customer contact channel that was active for the longest time?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customer_contact_channels : channel_code (text) , contact_number (text) , active_to_date (time) , active_from_date (time)", "shrink-score": 0.875}
{"db_id": "customers_and_addresses", "question": "Return the channel code and contact number of the customer contact channel whose active duration was the longest.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customer_contact_channels : channel_code (text) , contact_number (text) , active_to_date (time) , active_from_date (time)", "shrink-score": 0.875}
{"db_id": "customers_and_addresses", "question": "Find the name and active date of the customer that use email as the contact channel.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_contact_channels : active_from_date (time) , customer_id (number) , channel_code (text)", "shrink-score": 0.84375}
{"db_id": "customers_and_addresses", "question": "What are the name and active date of the customers whose contact channel code is email?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_contact_channels : active_from_date (time) , customer_id (number) , channel_code (text)", "shrink-score": 0.84375}
{"db_id": "customers_and_addresses", "question": "What is the name of the customer that made the order with the largest quantity?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number) | order_items : order_id (number) , order_quantity (text)", "shrink-score": 0.8125}
{"db_id": "customers_and_addresses", "question": "Find the name of the customer who made the order of the largest amount of goods.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number) | order_items : order_id (number) , order_quantity (text)", "shrink-score": 0.8125}
{"db_id": "customers_and_addresses", "question": "What is the name of the customer that has purchased the most items?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number) | order_items : order_id (number) , order_quantity (text)", "shrink-score": 0.8125}
{"db_id": "customers_and_addresses", "question": "Give me the name of the customer who ordered the most items in total.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number) | order_items : order_id (number) , order_quantity (text)", "shrink-score": 0.8125}
{"db_id": "customers_and_addresses", "question": "What is the payment method of the customer that has purchased the least quantity of items?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : payment_method (text) , customer_id (number) , customer_name (text) | customer_orders : customer_id (number) , order_id (number) | order_items : order_id (number) , order_quantity (text)", "shrink-score": 0.78125}
{"db_id": "customers_and_addresses", "question": "Tell me the payment method used by the customer who ordered the least amount of goods in total.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : payment_method (text) , customer_id (number) , customer_name (text) | customer_orders : customer_id (number) , order_id (number) | order_items : order_id (number) , order_quantity (text)", "shrink-score": 0.78125}
{"db_id": "customers_and_addresses", "question": "How many types of products have Rodrick Heaney bought in total?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "order_items : product_id (number) , order_id (number) | customers : customer_id (number) , customer_name (text) | customer_orders : customer_id (number) , order_id (number)", "shrink-score": 0.8125}
{"db_id": "customers_and_addresses", "question": "Find the number of distinct products Rodrick Heaney has bought so far.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "order_items : product_id (number) , order_id (number) | customers : customer_id (number) , customer_name (text) | customer_orders : customer_id (number) , order_id (number)", "shrink-score": 0.8125}
{"db_id": "customers_and_addresses", "question": "What is the total quantity of products purchased by \"Rodrick Heaney\"?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "order_items : order_quantity (text) , order_id (number) | customers : customer_id (number) , customer_name (text) | customer_orders : customer_id (number) , order_id (number)", "shrink-score": 0.8125}
{"db_id": "customers_and_addresses", "question": "Tell me the total quantity of products bought by the customer called \"Rodrick Heaney\".", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "order_items : order_quantity (text) , order_id (number) | customers : customer_id (number) , customer_name (text) | customer_orders : customer_id (number) , order_id (number)", "shrink-score": 0.8125}
{"db_id": "customers_and_addresses", "question": "How many customers have at least one order with status \"Cancelled\"?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customer_orders : customer_id (number) , order_status (text)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "Return the number of customers who have at least one order with \"Cancelled\" status.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customer_orders : customer_id (number) , order_status (text)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "How many orders have detail \"Second time\"?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customer_orders : order_details (text) , order_id (number)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "Tell me the number of orders with \"Second time\" as order detail.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customer_orders : order_details (text) , order_id (number)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "Find the customer name and date of the orders that have the status \"Delivered\".", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : order_date (time) , customer_id (number) , order_status (text)", "shrink-score": 0.84375}
{"db_id": "customers_and_addresses", "question": "What are the customer name and date of the orders whose status is \"Delivered\".", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : order_date (time) , customer_id (number) , order_status (text)", "shrink-score": 0.84375}
{"db_id": "customers_and_addresses", "question": "What is the total number of products that are in orders with status \"Cancelled\"?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "order_items : order_quantity (text) , order_id (number) | customer_orders : order_id (number) , order_status (text)", "shrink-score": 0.875}
{"db_id": "customers_and_addresses", "question": "Find the total quantity of products associated with the orders in the \"Cancelled\" status.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "order_items : order_quantity (text) , order_id (number) | customer_orders : order_id (number) , order_status (text)", "shrink-score": 0.875}
{"db_id": "customers_and_addresses", "question": "Find the total amount of products ordered before 2018-03-17 07:13:53.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "order_items : order_quantity (text) , order_id (number) | customer_orders : order_id (number) , order_date (time)", "shrink-score": 0.875}
{"db_id": "customers_and_addresses", "question": "What is the total amount of products purchased before 2018-03-17 07:13:53?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "order_items : order_quantity (text) , order_id (number) | customer_orders : order_id (number) , order_date (time)", "shrink-score": 0.875}
{"db_id": "customers_and_addresses", "question": "Who made the latest order?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_date (time)", "shrink-score": 0.875}
{"db_id": "customers_and_addresses", "question": "Find the name of the customer who made an order most recently.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_date (time)", "shrink-score": 0.875}
{"db_id": "customers_and_addresses", "question": "Which product has been ordered most number of times?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "products : product_details (text) , product_id (number) | order_items : product_id (number)", "shrink-score": 0.90625}
{"db_id": "customers_and_addresses", "question": "What is the most frequently ordered product? Tell me the detail of the product", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "products : product_details (text) , product_id (number) | order_items : product_id (number)", "shrink-score": 0.90625}
{"db_id": "customers_and_addresses", "question": "Find the name and ID of the product whose total order quantity is the largest.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "products : product_details (text) , product_id (number) | order_items : product_id (number) , order_quantity (text)", "shrink-score": 0.875}
{"db_id": "customers_and_addresses", "question": "What are the name and ID of the product bought the most.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "products : product_details (text) , product_id (number) | order_items : product_id (number) , order_quantity (text)", "shrink-score": 0.875}
{"db_id": "customers_and_addresses", "question": "Find all the addresses in East Julianaside, Texas or in Gleasonmouth, Arizona.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : address_content (text) , city (text) , state_province_county (text)", "shrink-score": 0.90625}
{"db_id": "customers_and_addresses", "question": "What are all the addresses in East Julianaside, Texas or in Gleasonmouth, Arizona.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "addresses : address_content (text) , city (text) , state_province_county (text)", "shrink-score": 0.90625}
{"db_id": "customers_and_addresses", "question": "Find the name of customers who did not pay with Cash.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , payment_method (text)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "What is the name of customers who do not use Cash as payment method.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , payment_method (text)", "shrink-score": 0.9375}
{"db_id": "customers_and_addresses", "question": "Find the names of customers who never ordered product Latte.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number) | order_items : order_id (number) , product_id (number) | products : product_id (number) , product_details (text)", "shrink-score": 0.75}
{"db_id": "customers_and_addresses", "question": "What are names of customers who never ordered product Latte.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number) | order_items : order_id (number) , product_id (number) | products : product_id (number) , product_details (text)", "shrink-score": 0.75}
{"db_id": "customers_and_addresses", "question": "Find the names of customers who never placed an order.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number)", "shrink-score": 0.90625}
{"db_id": "customers_and_addresses", "question": "What are the names of customers who never made an order.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number)", "shrink-score": 0.90625}
{"db_id": "customers_and_addresses", "question": "Find the names of customers who ordered both products Latte and Americano.", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number) | order_items : order_id (number) , product_id (number) | products : product_id (number) , product_details (text)", "shrink-score": 0.75}
{"db_id": "customers_and_addresses", "question": "What are the names of customers who have purchased both products Latte and Americano?", "schema": "addresses : address_id (number) , address_content (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) , other_address_details (text) | products : product_id (number) , product_details (text) | customers : customer_id (number) , payment_method (text) , customer_name (text) , date_became_customer (time) , other_customer_details (text) | customer_addresses : customer_id (number) , address_id (number) , date_address_from (time) , address_type (text) , date_address_to (time) | customer_contact_channels : customer_id (number) , channel_code (text) , active_from_date (time) , active_to_date (time) , contact_number (text) | customer_orders : order_id (number) , customer_id (number) , order_status (text) , order_date (time) , order_details (text) | order_items : order_id (number) , product_id (number) , order_quantity (text)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | customer_orders : customer_id (number) , order_id (number) | order_items : order_id (number) , product_id (number) | products : product_id (number) , product_details (text)", "shrink-score": 0.75}
{"db_id": "music_4", "question": "How many artists are there?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : artist (text) , artist_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "Count the number of artists.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : artist (text) , artist_id (number)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "List the age of all music artists.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : age (number) , artist (text)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "What are the ages of all music artists?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : age (number) , artist (text)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "What is the average age of all artists?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : age (number) , artist (text)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "Return the average age across all artists.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : age (number) , artist (text)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "What are the famous titles of the artist \"Triumfall\"?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : famous_title (text) , artist (text)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "Return the famous titles of the artist called \"Triumfall\".", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : famous_title (text) , artist (text)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "What are the distinct Famous release dates?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : famous_release_date (text) , artist (text)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "Give the distinct famous release dates for all artists.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : famous_release_date (text) , artist (text)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "Return the dates of ceremony and the results of all music festivals", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : date_of_ceremony (text) , result (text) , music_festival (text)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "What are the dates of ceremony and results for each music festival?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : date_of_ceremony (text) , result (text) , music_festival (text)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "What are the category of music festivals with result \"Awarded\"?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : category (text) , music_festival (text) , result (text)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "Return the categories of music festivals that have the result \"Awarded\".", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : category (text) , music_festival (text) , result (text)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "What are the maximum and minimum week on top of all volumes?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : weeks_on_top (number)", "shrink-score": 0.9411764705882353}
{"db_id": "music_4", "question": "Give the maximum and minimum weeks on top across all volumes.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : weeks_on_top (number)", "shrink-score": 0.9411764705882353}
{"db_id": "music_4", "question": "What are the songs in volumes with more than 1 week on top?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : song (text) , weeks_on_top (number)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "Give the songs included in volumes that have more than 1 week on top.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : song (text) , weeks_on_top (number)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "Please list all songs in volumes in ascending alphabetical order.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : song (text)", "shrink-score": 0.9411764705882353}
{"db_id": "music_4", "question": "What are the the songs in volumes, listed in ascending order?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : song (text)", "shrink-score": 0.9411764705882353}
{"db_id": "music_4", "question": "How many distinct artists do the volumes associate to?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : artist_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "music_4", "question": "Count the number of distinct artists who have volumes.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : artist_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "music_4", "question": "Please show the date of ceremony of the volumes that last more than 2 weeks on top.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : date_of_ceremony (text) , music_festival (text) , volume (number) | volume : volume_id (number) , weeks_on_top (number)", "shrink-score": 0.7058823529411765}
{"db_id": "music_4", "question": "What are the dates of ceremony at music festivals corresponding to volumes that lasted more than 2 weeks on top?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : date_of_ceremony (text) , music_festival (text) , volume (number) | volume : volume_id (number) , weeks_on_top (number)", "shrink-score": 0.7058823529411765}
{"db_id": "music_4", "question": "Please show the songs that have result \"nominated\" at music festivals.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : song (text) , volume_id (number) | music_festival : music_festival (text) , volume (number) , result (text)", "shrink-score": 0.7058823529411765}
{"db_id": "music_4", "question": "What are the songs in volumes that have resulted in a nomination at music festivals?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : song (text) , volume_id (number) | music_festival : music_festival (text) , volume (number) , result (text)", "shrink-score": 0.7058823529411765}
{"db_id": "music_4", "question": "What are the issue dates of volumes associated with the artist \"Gorgoroth\"?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : issue_date (text) , artist_id (number) | artist : artist (text) , artist_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "music_4", "question": "Return the issue dates of volumes that are by the artist named Gorgoroth.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : issue_date (text) , artist_id (number) | artist : artist (text) , artist_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "music_4", "question": "What are the songs in volumes associated with the artist aged 32 or older?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : song (text) , artist_id (number) | artist : artist (text) , artist_id (number) , age (number)", "shrink-score": 0.7058823529411765}
{"db_id": "music_4", "question": "Return names of songs in volumes that are by artists that are at least 32 years old.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : song (text) , artist_id (number) | artist : artist (text) , artist_id (number) , age (number)", "shrink-score": 0.7058823529411765}
{"db_id": "music_4", "question": "What is the average weeks on top of volumes associated with the artist aged 25 or younger?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : weeks_on_top (number) , artist_id (number) | artist : artist (text) , artist_id (number) , age (number)", "shrink-score": 0.7058823529411765}
{"db_id": "music_4", "question": "Return the average number of weeks on top for volumes by artists that are at most 25 years old.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : weeks_on_top (number) , artist_id (number) | artist : artist (text) , artist_id (number) , age (number)", "shrink-score": 0.7058823529411765}
{"db_id": "music_4", "question": "What are the famous title of the artists associated with volumes with more than 2 weeks on top?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : famous_title (text) , artist (text) , artist_id (number) | volume : artist_id (number) , weeks_on_top (number)", "shrink-score": 0.7058823529411765}
{"db_id": "music_4", "question": "Return the famous titles for artists that have volumes that lasted more than 2 weeks on top.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : famous_title (text) , artist (text) , artist_id (number) | volume : artist_id (number) , weeks_on_top (number)", "shrink-score": 0.7058823529411765}
{"db_id": "music_4", "question": "Please list the age and famous title of artists in descending order of age.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : famous_title (text) , age (number) , artist (text)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "What are the famous titles and ages of each artist, listed in descending order by age?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : famous_title (text) , age (number) , artist (text)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "What is the famous release date of the artist with the oldest age?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : famous_release_date (text) , artist (text) , age (number)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "Return the famous release date for the oldest artist.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : famous_release_date (text) , artist (text) , age (number)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "Please show the categories of the music festivals and the count.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : category (text) , music_festival (text) , id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "Return the number of music festivals of each category.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : category (text) , music_festival (text) , id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "What is the most common result of the music festival?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : result (text) , music_festival (text) , id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "Return the result that is most frequent at music festivals.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : result (text) , music_festival (text) , id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "Please show the categories of the music festivals with count more than 1.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : category (text) , music_festival (text) , id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "What are the categories of music festivals for which there have been more than 1 music festival?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : category (text) , music_festival (text) , id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "What is the song in the volume with the maximum weeks on top?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : song (text) , weeks_on_top (number)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "Return the song in the volume that has spent the most weeks on top?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : song (text) , weeks_on_top (number)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "Find the famous titles of artists that do not have any volume.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : famous_title (text) , artist (text) , artist_id (number) | volume : artist_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "music_4", "question": "What are the famous titles of artists who do not have any volumes?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : famous_title (text) , artist (text) , artist_id (number) | volume : artist_id (number)", "shrink-score": 0.7647058823529411}
{"db_id": "music_4", "question": "Show the famous titles of the artists with both volumes that lasted more than 2 weeks on top and volumes that lasted less than 2 weeks on top.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : famous_title (text) , artist (text) , artist_id (number) | volume : artist_id (number) , weeks_on_top (number)", "shrink-score": 0.7058823529411765}
{"db_id": "music_4", "question": "What are the famous titles of artists who have not only had volumes that spent more than 2 weeks on top but also volumes that spent less than 2 weeks on top?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "artist : famous_title (text) , artist (text) , artist_id (number) | volume : artist_id (number) , weeks_on_top (number)", "shrink-score": 0.7058823529411765}
{"db_id": "music_4", "question": "What are the date of ceremony of music festivals with category \"Best Song\" and result \"Awarded\"?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : date_of_ceremony (text) , music_festival (text) , category (text) , result (text)", "shrink-score": 0.7647058823529411}
{"db_id": "music_4", "question": "Return the dates of ceremony corresponding to music festivals that had the category \"Best Song\" and result \"Awarded\".", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : date_of_ceremony (text) , music_festival (text) , category (text) , result (text)", "shrink-score": 0.7647058823529411}
{"db_id": "music_4", "question": "What is the issue date of the volume with the minimum weeks on top?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : issue_date (text) , weeks_on_top (number)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "Return the issue date of the volume that has spent the fewest weeks on top.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : issue_date (text) , weeks_on_top (number)", "shrink-score": 0.8823529411764706}
{"db_id": "music_4", "question": "How many distinct artists have volumes?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : artist_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "music_4", "question": "Count the number of artists who have had volumes.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : artist_id (number)", "shrink-score": 0.9411764705882353}
{"db_id": "music_4", "question": "Please show the results of music festivals and the number of music festivals that have had each, ordered by this count.", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : result (text) , music_festival (text) , id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "How many music festivals have had each kind of result, ordered descending by count?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "music_festival : result (text) , music_festival (text) , id (number)", "shrink-score": 0.8235294117647058}
{"db_id": "music_4", "question": "What are the issue dates of volumes associated with the artist aged 23 or younger?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : issue_date (text) , artist_id (number) | artist : artist (text) , artist_id (number) , age (number)", "shrink-score": 0.7058823529411765}
{"db_id": "music_4", "question": "Return the issue dates of volumes by artists who are at most 23 years old?", "schema": "artist : artist_id (number) , artist (text) , age (number) , famous_title (text) , famous_release_date (text) | volume : volume_id (number) , volume_issue (text) , issue_date (text) , weeks_on_top (number) , song (text) , artist_id (number) | music_festival : id (number) , music_festival (text) , date_of_ceremony (text) , category (text) , volume (number) , result (text)", "summarized-schema": "volume : issue_date (text) , artist_id (number) | artist : artist (text) , artist_id (number) , age (number)", "shrink-score": 0.7058823529411765}
{"db_id": "roller_coaster", "question": "How many roller coasters are there?", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : roller_coaster_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "roller_coaster", "question": "List the names of roller coasters by ascending order of length.", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : name (text) , length (number)", "shrink-score": 0.8571428571428571}
{"db_id": "roller_coaster", "question": "What are the lengths and heights of roller coasters?", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : length (number) , height (number)", "shrink-score": 0.8571428571428571}
{"db_id": "roller_coaster", "question": "List the names of countries whose language is not \"German\".", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "country : name (text) , languages (text)", "shrink-score": 0.8571428571428571}
{"db_id": "roller_coaster", "question": "Show the statuses of roller coasters longer than 3300 or higher than 100.", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : status (text) , length (number) , height (number)", "shrink-score": 0.7857142857142857}
{"db_id": "roller_coaster", "question": "What are the speeds of the longest roller coaster?", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : speed (text) , length (number)", "shrink-score": 0.8571428571428571}
{"db_id": "roller_coaster", "question": "What is the average speed of roller coasters?", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : speed (text)", "shrink-score": 0.9285714285714286}
{"db_id": "roller_coaster", "question": "Show the different statuses and the numbers of roller coasters for each status.", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : status (text) , roller_coaster_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "roller_coaster", "question": "Please show the most common status of roller coasters.", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : status (text) , roller_coaster_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "roller_coaster", "question": "List the status shared by more than two roller coaster.", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : status (text) , roller_coaster_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "roller_coaster", "question": "Show the park of the roller coaster with the highest speed.", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : park (text) , speed (text)", "shrink-score": 0.8571428571428571}
{"db_id": "roller_coaster", "question": "Show the names of roller coasters and names of country they are in.", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : name (text) , country_id (number) | country : name (text) , country_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "roller_coaster", "question": "Show the names of countries that have more than one roller coaster.", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : name (text) , country_id (number) , roller_coaster_id (number) | country : name (text) , country_id (number)", "shrink-score": 0.6428571428571429}
{"db_id": "roller_coaster", "question": "Show the name and population of the country that has the highest roller coaster.", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : name (text) , country_id (number) , height (number) | country : name (text) , population (number) , country_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "roller_coaster", "question": "Show the names of countries and the average speed of roller coasters from each country.", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : name (text) , speed (text) , country_id (number) | country : name (text) , country_id (number)", "shrink-score": 0.6428571428571429}
{"db_id": "roller_coaster", "question": "How many countries do not have an roller coaster longer than 3000?", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : country_id (number) , length (number) , roller_coaster_id (number) | country : country_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "roller_coaster", "question": "What are the country names, area and population which has both roller coasters with speed higher", "schema": "roller_coaster : roller_coaster_id (number) , name (text) , park (text) , country_id (number) , length (number) , height (number) , speed (text) , opened (text) , status (text) | country : country_id (number) , name (text) , population (number) , area (number) , languages (text)", "summarized-schema": "roller_coaster : name (text) , country_id (number) , speed (text) | country : name (text) , area (number) , population (number) , country_id (number)", "shrink-score": 0.5}
{"db_id": "ship_1", "question": "How many different captain ranks are there?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : rank (text)", "shrink-score": 0.9166666666666666}
{"db_id": "ship_1", "question": "Count the number of different ranks of captain.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : rank (text)", "shrink-score": 0.9166666666666666}
{"db_id": "ship_1", "question": "How many captains are in each rank?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : rank (text) , captain_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "Count the number of captains that have each rank.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : rank (text) , captain_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "How many captains with younger than 50 are in each rank?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : rank (text) , age (text) , captain_id (number)", "shrink-score": 0.75}
{"db_id": "ship_1", "question": "Count the number of captains younger than 50 of each rank.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : rank (text) , age (text) , captain_id (number)", "shrink-score": 0.75}
{"db_id": "ship_1", "question": "Sort all captain names by their ages from old to young.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , age (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "What are the names of captains, sorted by age descending?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , age (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "Find the name, class and rank of all captains.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , class (text) , rank (text)", "shrink-score": 0.75}
{"db_id": "ship_1", "question": "What are the names, classes, and ranks of all captains?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , class (text) , rank (text)", "shrink-score": 0.75}
{"db_id": "ship_1", "question": "Which rank is the most common among captains?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : rank (text) , captain_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "Return the rank for which there are the fewest captains.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : rank (text) , captain_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "Which classes have more than two captains?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : class (text) , captain_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "Give the classes that have more than two captains.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : class (text) , captain_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "Find the name of captains whose rank are either Midshipman or Lieutenant.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , rank (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "What are the names of captains that have either the rank Midshipman or Lieutenant?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , rank (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "What are the average and minimum age of captains in different class?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : age (text) , class (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "Return the average and minimum age of captains in each class.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : age (text) , class (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "Find the captain rank that has some captains in both Cutter and Armed schooner classes.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : rank (text) , class (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "What are the ranks of captains that are both in the Cutter and Armed schooner classes?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : rank (text) , class (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "Find the captain rank that has no captain in Third-rate ship of the line class.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : rank (text) , class (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "What are the ranks of captains that have no captain that are in the Third-rate ship of the line class?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : rank (text) , class (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "What is the name of the youngest captain?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , age (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "Return the name of the youngest captain.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , age (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "how many ships are there?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "ship : ship_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "ship_1", "question": "Count the number of ships.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "ship : ship_id (number)", "shrink-score": 0.9166666666666666}
{"db_id": "ship_1", "question": "Find the name, type, and flag of the ship that is built in the most recent year.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "ship : name (text) , type (text) , flag (text) , built_year (number)", "shrink-score": 0.6666666666666666}
{"db_id": "ship_1", "question": "What is the name, type, and flag of the ship that was built in the most recent year?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "ship : name (text) , type (text) , flag (text) , built_year (number)", "shrink-score": 0.6666666666666666}
{"db_id": "ship_1", "question": "Group by ships by flag, and return number of ships that have each flag.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "ship : flag (text) , ship_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "What are the different ship flags, and how many ships have each?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "ship : flag (text) , ship_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "Which flag is most widely used among all ships?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "ship : flag (text) , ship_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "Return the flag that is most common among all ships.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "ship : flag (text) , ship_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "List all ship names in the order of built year and class.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "ship : name (text) , built_year (number) , class (text)", "shrink-score": 0.75}
{"db_id": "ship_1", "question": "What are the names of ships, ordered by year they were built and their class?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "ship : name (text) , built_year (number) , class (text)", "shrink-score": 0.75}
{"db_id": "ship_1", "question": "Find the ship type that are used by both ships with Panama and Malta flags.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "ship : type (text) , flag (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "What types of ships have both ships that have Panama Flags and Malta flags?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "ship : type (text) , flag (text)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "In which year were most of ships built?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "ship : built_year (number) , ship_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "What is the year in which most ships were built?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "ship : built_year (number) , ship_id (number)", "shrink-score": 0.8333333333333334}
{"db_id": "ship_1", "question": "Find the name of the ships that have more than one captain.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , ship_id (number) , captain_id (number) | ship : name (text) , ship_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "ship_1", "question": "What are the names of ships that have more than one captain?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , ship_id (number) , captain_id (number) | ship : name (text) , ship_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "ship_1", "question": "what are the names and classes of the ships that do not have any captain yet?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , class (text) , ship_id (number) | ship : name (text) , class (text) , ship_id (number)", "shrink-score": 0.5}
{"db_id": "ship_1", "question": "Return the names and classes of ships that do not have a captain?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , class (text) , ship_id (number) | ship : name (text) , class (text) , ship_id (number)", "shrink-score": 0.5}
{"db_id": "ship_1", "question": "Find the name of the ship that is steered by the youngest captain.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , ship_id (number) , age (text) | ship : name (text) , ship_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "ship_1", "question": "What is the name of the ship that is commanded by the youngest captain?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , ship_id (number) , age (text) | ship : name (text) , ship_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "ship_1", "question": "Find the name and flag of ships that are not steered by any captain with Midshipman rank.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , ship_id (number) , rank (text) | ship : name (text) , flag (text) , ship_id (number)", "shrink-score": 0.5}
{"db_id": "ship_1", "question": "What are the names and flags of ships that do not have a captain with the rank of Midshipman?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , ship_id (number) , rank (text) | ship : name (text) , flag (text) , ship_id (number)", "shrink-score": 0.5}
{"db_id": "ship_1", "question": "Find the name of the ships that are steered by both a captain with Midshipman rank and a captain with Lieutenant rank.", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , ship_id (number) , rank (text) | ship : name (text) , ship_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "ship_1", "question": "What are the names of ships that are commanded by both captains with the rank of Midshipman and captains with the rank of Lieutenant?", "schema": "captain : captain_id (number) , name (text) , ship_id (number) , age (text) , class (text) , rank (text) | ship : ship_id (number) , name (text) , type (text) , built_year (number) , class (text) , flag (text)", "summarized-schema": "captain : name (text) , ship_id (number) , rank (text) | ship : name (text) , ship_id (number)", "shrink-score": 0.5833333333333334}
{"db_id": "city_record", "question": "What is id of the city that hosted events in the most recent year?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "hosting_city : host_city (text) , year (number)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "Find the city that hosted some events in the most recent year. What is the id of this city?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "hosting_city : host_city (text) , year (number)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "Find the match ids of the cities that hosted competition \"1994 FIFA World Cup qualification\"?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "match : match_id (number) , competition (text)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "What is the match id of the competition called \"1994 FIFA World Cup qualification\"?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "match : match_id (number) , competition (text)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "Find the cities which were once a host city after 2010?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , city_id (number) | hosting_city : host_city (text) , year (number)", "shrink-score": 0.8518518518518519}
{"db_id": "city_record", "question": "Which cities served as a host city after 2010?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , city_id (number) | hosting_city : host_city (text) , year (number)", "shrink-score": 0.8518518518518519}
{"db_id": "city_record", "question": "Which city has hosted the most events?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , city_id (number) | hosting_city : host_city (text) , year (number)", "shrink-score": 0.8518518518518519}
{"db_id": "city_record", "question": "Find the city that hosted the most events.", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , city_id (number) | hosting_city : host_city (text) , year (number)", "shrink-score": 0.8518518518518519}
{"db_id": "city_record", "question": "What is the venue of the competition \"1994 FIFA World Cup qualification\" hosted by \"Nanjing ( Jiangsu )\"?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "match : venue (text) , match_id (number) , competition (text) | city : city (text) , city_id (number) | hosting_city : host_city (text) , match_id (number)", "shrink-score": 0.7407407407407407}
{"db_id": "city_record", "question": "Find the venue of the competition \"1994 FIFA World Cup qualification\" which was hosted by \"Nanjing ( Jiangsu )\".", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "match : venue (text) , match_id (number) , competition (text) | city : city (text) , city_id (number) | hosting_city : host_city (text) , match_id (number)", "shrink-score": 0.7407407407407407}
{"db_id": "city_record", "question": "Give me the temperature of Shanghai in January.", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "temperature : jan (number) , city_id (number) | city : city (text) , city_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "city_record", "question": "What is the temperature of \"Shanghai\" city in January?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "temperature : jan (number) , city_id (number) | city : city (text) , city_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "city_record", "question": "What is the host year of city \"Taizhou ( Zhejiang )\"?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "hosting_city : year (number) , host_city (text) | city : city (text) , city_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "city_record", "question": "IN which year did city \"Taizhou ( Zhejiang )\" serve as a host city?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "hosting_city : year (number) , host_city (text) | city : city (text) , city_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "city_record", "question": "Which three cities have the largest regional population?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , regional_population (number)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "What are the three largest cities in terms of regional population?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , regional_population (number)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "Which city has the lowest GDP? Please list the city name and its GDP.", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , gdp (number)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "What is the city with the smallest GDP? Return the city and its GDP.", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , gdp (number)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "Which city has the highest temperature in February?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , city_id (number) | temperature : city_id (number) , feb (number)", "shrink-score": 0.8518518518518519}
{"db_id": "city_record", "question": "In February, which city marks the highest temperature?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , city_id (number) | temperature : city_id (number) , feb (number)", "shrink-score": 0.8518518518518519}
{"db_id": "city_record", "question": "Give me a list of cities whose temperature in March is lower than that in July or higher than that in Oct?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , city_id (number) | temperature : city_id (number) , mar (number) , jul (number) , oct (number)", "shrink-score": 0.7777777777777778}
{"db_id": "city_record", "question": "Which cities' temperature in March is lower than that in July or higher than that in Oct?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , city_id (number) | temperature : city_id (number) , mar (number) , jul (number) , oct (number)", "shrink-score": 0.7777777777777778}
{"db_id": "city_record", "question": "Give me a list of cities whose temperature in Mar is lower than that in July and which have also served as host cities?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , city_id (number) | temperature : city_id (number) , mar (number) , jul (number) | hosting_city : host_city (text)", "shrink-score": 0.7777777777777778}
{"db_id": "city_record", "question": "Which cities have lower temperature in March than in July and have been once host cities?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , city_id (number) | temperature : city_id (number) , mar (number) , jul (number) | hosting_city : host_city (text)", "shrink-score": 0.7777777777777778}
{"db_id": "city_record", "question": "Give me a list of cities whose temperature in Mar is lower than that in Dec and which have never been host cities.", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , city_id (number) | temperature : city_id (number) , mar (number) , dec (number) | hosting_city : host_city (text)", "shrink-score": 0.7777777777777778}
{"db_id": "city_record", "question": "Which cities have lower temperature in March than in Dec and have never served as host cities?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , city_id (number) | temperature : city_id (number) , mar (number) , dec (number) | hosting_city : host_city (text)", "shrink-score": 0.7777777777777778}
{"db_id": "city_record", "question": "Give me a list of cities whose temperature in Feb is higher than that in Jun or cities that were once host cities?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , city_id (number) | temperature : city_id (number) , feb (number) , jun (number) | hosting_city : host_city (text)", "shrink-score": 0.7777777777777778}
{"db_id": "city_record", "question": "Which cities have higher temperature in Feb than in Jun or have once served as host cities?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , city_id (number) | temperature : city_id (number) , feb (number) , jun (number) | hosting_city : host_city (text)", "shrink-score": 0.7777777777777778}
{"db_id": "city_record", "question": "Please give me a list of cities whose regional population is over 10000000.", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , regional_population (number)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "Which cities have regional population above 10000000?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , regional_population (number)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "Please give me a list of cities whose regional population is over 8000000 or under 5000000.", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , regional_population (number)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "Which cities have regional population above 8000000 or below 5000000?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : city (text) , regional_population (number)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "Find the number of matches in different competitions.", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "match : competition (text) , match_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "For each competition, count the number of matches.", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "match : competition (text) , match_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "List venues of all matches in the order of their dates starting from the most recent one.", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "match : venue (text) , date (text)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "What are the venues of all the matches? Sort them in the descending order of match date.", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "match : venue (text) , date (text)", "shrink-score": 0.9259259259259259}
{"db_id": "city_record", "question": "what is the GDP of the city with the largest population.", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : gdp (number) , city (text) , regional_population (number)", "shrink-score": 0.8888888888888888}
{"db_id": "city_record", "question": "Find the GDP of the city with the largest regional population.", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : gdp (number) , city (text) , regional_population (number)", "shrink-score": 0.8888888888888888}
{"db_id": "city_record", "question": "What are the GDP and population of the city that already served as a host more than once?", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : gdp (number) , regional_population (number) , city (text) , city_id (number) | hosting_city : host_city (text) , year (number)", "shrink-score": 0.7777777777777778}
{"db_id": "city_record", "question": "Which cities have served as host cities more than once? Return me their GDP and population.", "schema": "city : city_id (number) , city (text) , hanzi (text) , hanyu_pinyin (text) , regional_population (number) , gdp (number) | match : match_id (number) , date (text) , venue (text) , score (text) , result (text) , competition (text) | temperature : city_id (number) , jan (number) , feb (number) , mar (number) , apr (number) , jun (number) , jul (number) , aug (number) , sep (number) , oct (number) , nov (number) , dec (number) | hosting_city : year (number) , match_id (number) , host_city (text)", "summarized-schema": "city : gdp (number) , regional_population (number) , city (text) , city_id (number) | hosting_city : host_city (text) , year (number)", "shrink-score": 0.7777777777777778}
{"db_id": "e_government", "question": "List every individual's first name, middle name and last name in alphabetical order by last name.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "individuals : individual_first_name (text) , individual_middle_name (text) , individual_last_name (text)", "shrink-score": 0.94}
{"db_id": "e_government", "question": "What are the first, middle, and last names of all individuals, ordered by last name?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "individuals : individual_first_name (text) , individual_middle_name (text) , individual_last_name (text)", "shrink-score": 0.94}
{"db_id": "e_government", "question": "List all the types of forms.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "forms : form_type_code (text)", "shrink-score": 0.98}
{"db_id": "e_government", "question": "What are the different types of forms?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "forms : form_type_code (text)", "shrink-score": 0.98}
{"db_id": "e_government", "question": "Find the name of the most popular party form.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "forms : form_name (text) , form_id (number) | party_forms : form_id (number) , party_id (number)", "shrink-score": 0.92}
{"db_id": "e_government", "question": "What is the name of the party form that is most common?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "forms : form_name (text) , form_id (number) | party_forms : form_id (number) , party_id (number)", "shrink-score": 0.92}
{"db_id": "e_government", "question": "Find the payment method and phone of the party with email \"enrico09@example.com\".", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "parties : payment_method_code (text) , party_phone (text) , party_email (text)", "shrink-score": 0.94}
{"db_id": "e_government", "question": "What is the payment method code and party phone of the party with the email 'enrico09@example.com'?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "parties : payment_method_code (text) , party_phone (text) , party_email (text)", "shrink-score": 0.94}
{"db_id": "e_government", "question": "Find the emails of parties with the most popular party form.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "parties : party_email (text) , party_id (number) | party_forms : party_id (number) , form_id (number)", "shrink-score": 0.92}
{"db_id": "e_government", "question": "What are the party emails associated with parties that used the party form that is the most common?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "parties : party_email (text) , party_id (number) | party_forms : party_id (number) , form_id (number)", "shrink-score": 0.92}
{"db_id": "e_government", "question": "List all the name of organizations in order of the date formed.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "organizations : organization_name (text) , date_formed (time)", "shrink-score": 0.96}
{"db_id": "e_government", "question": "What are the names of organizations, ordered by the date they were formed, ascending?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "organizations : organization_name (text) , date_formed (time)", "shrink-score": 0.96}
{"db_id": "e_government", "question": "Find the name of the youngest organization.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "organizations : organization_name (text) , date_formed (time)", "shrink-score": 0.96}
{"db_id": "e_government", "question": "What is the name of the organization that was formed most recently?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "organizations : organization_name (text) , date_formed (time)", "shrink-score": 0.96}
{"db_id": "e_government", "question": "Find the last name of the latest contact individual of the organization \"Labour Party\".", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "individuals : individual_last_name (text) , individual_id (number) | organizations : organization_id (number) , organization_name (text) | organization_contact_individuals : organization_id (number) , individual_id (number) , date_contact_to (time)", "shrink-score": 0.86}
{"db_id": "e_government", "question": "What is the last name of the contact individual from the Labour party organization who was contacted most recently?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "individuals : individual_last_name (text) , individual_id (number) | organizations : organization_id (number) , organization_name (text) | organization_contact_individuals : organization_id (number) , individual_id (number) , date_contact_to (time)", "shrink-score": 0.86}
{"db_id": "e_government", "question": "Find the last name of the first ever contact person of the organization with the highest UK Vat number.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "individuals : individual_last_name (text) , individual_id (number) | organizations : organization_id (number) , uk_vat_number (text) | organization_contact_individuals : organization_id (number) , individual_id (number) , date_contact_to (time)", "shrink-score": 0.86}
{"db_id": "e_government", "question": "What is the last name of the first individual contacted from the organization with the maximum UK Vat number across all organizations?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "individuals : individual_last_name (text) , individual_id (number) | organizations : organization_id (number) , uk_vat_number (text) | organization_contact_individuals : organization_id (number) , individual_id (number) , date_contact_to (time)", "shrink-score": 0.86}
{"db_id": "e_government", "question": "How many services are there?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "services : service_id (number)", "shrink-score": 0.98}
{"db_id": "e_government", "question": "Count the number of services.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "services : service_id (number)", "shrink-score": 0.98}
{"db_id": "e_government", "question": "Find name of the services that has never been used.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "services : service_name (text) , service_id (number) | party_services : service_id (number)", "shrink-score": 0.94}
{"db_id": "e_government", "question": "What are the names of the services that have never been used?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "services : service_name (text) , service_id (number) | party_services : service_id (number)", "shrink-score": 0.94}
{"db_id": "e_government", "question": "Find the name of all the cities and states.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "addresses : town_city (text) , state_province_county (text)", "shrink-score": 0.96}
{"db_id": "e_government", "question": "What are the names of all cities and states?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "addresses : town_city (text) , state_province_county (text)", "shrink-score": 0.96}
{"db_id": "e_government", "question": "How many cities are there in state \"Colorado\"?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "addresses : state_province_county (text) , address_id (number)", "shrink-score": 0.96}
{"db_id": "e_government", "question": "Count the number of cities in the state of Colorado.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "addresses : state_province_county (text) , address_id (number)", "shrink-score": 0.96}
{"db_id": "e_government", "question": "Find the payment method code used by more than 3 parties.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "parties : payment_method_code (text) , party_id (number)", "shrink-score": 0.96}
{"db_id": "e_government", "question": "What are the payment method codes that have been used by more than 3 parties?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "parties : payment_method_code (text) , party_id (number)", "shrink-score": 0.96}
{"db_id": "e_government", "question": "Find the name of organizations whose names contain \"Party\".", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "organizations : organization_name (text)", "shrink-score": 0.98}
{"db_id": "e_government", "question": "What are the names of organizations that contain the word \"Party\"?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "organizations : organization_name (text)", "shrink-score": 0.98}
{"db_id": "e_government", "question": "How many distinct payment methods are used by parties?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "parties : payment_method_code (text)", "shrink-score": 0.98}
{"db_id": "e_government", "question": "Count the number of different payment method codes used by parties.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "parties : payment_method_code (text)", "shrink-score": 0.98}
{"db_id": "e_government", "question": "Which is the email of the party that has used the services the most number of times?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "parties : party_email (text) , party_id (number) | party_services : customer_id (number)", "shrink-score": 0.94}
{"db_id": "e_government", "question": "Return the party email that has used party services the greatest number of times.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "parties : party_email (text) , party_id (number) | party_services : customer_id (number)", "shrink-score": 0.94}
{"db_id": "e_government", "question": "Which state can address \"6862 Kaitlyn Knolls\" possibly be in?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "addresses : state_province_county (text) , line_1_number_building (text)", "shrink-score": 0.96}
{"db_id": "e_government", "question": "Give the state corresponding to the line number building \"6862 Kaitlyn Knolls\".", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "addresses : state_province_county (text) , line_1_number_building (text)", "shrink-score": 0.96}
{"db_id": "e_government", "question": "What is the name of organization that has the greatest number of contact individuals?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "organizations : organization_name (text) , organization_id (number) | organization_contact_individuals : organization_id (number) , individual_id (number)", "shrink-score": 0.92}
{"db_id": "e_government", "question": "Return the name of the organization which has the most contact individuals.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "organizations : organization_name (text) , organization_id (number) | organization_contact_individuals : organization_id (number) , individual_id (number)", "shrink-score": 0.92}
{"db_id": "e_government", "question": "Find the last name of the individuals that have been contact individuals of an organization.", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "individuals : individual_last_name (text) , individual_id (number) | organization_contact_individuals : individual_id (number)", "shrink-score": 0.94}
{"db_id": "e_government", "question": "What are the last names of individuals who have been contact individuals for an organization?", "schema": "addresses : address_id (number) , line_1_number_building (text) , town_city (text) , zip_postcode (text) , state_province_county (text) , country (text) | services : service_id (number) , service_type_code (text) , service_name (text) , service_descriptio (text) | forms : form_id (number) , form_type_code (text) , service_id (number) , form_number (text) , form_name (text) , form_description (text) | individuals : individual_id (number) , individual_first_name (text) , individual_middle_name (text) , inidividual_phone (text) , individual_email (text) , individual_address (text) , individual_last_name (text) | organizations : organization_id (number) , date_formed (time) , organization_name (text) , uk_vat_number (text) | parties : party_id (number) , payment_method_code (text) , party_phone (text) , party_email (text) | organization_contact_individuals : individual_id (number) , organization_id (number) , date_contact_from (time) , date_contact_to (time) | party_addresses : party_id (number) , address_id (number) , date_address_from (time) , address_type_code (text) , date_address_to (time) | party_forms : party_id (number) , form_id (number) , date_completion_started (time) , form_status_code (text) , date_fully_completed (time) | party_services : booking_id (number) , customer_id (number) , service_id (number) , service_datetime (time) , booking_made_date (time)", "summarized-schema": "individuals : individual_last_name (text) , individual_id (number) | organization_contact_individuals : individual_id (number)", "shrink-score": 0.94}
{"db_id": "school_bus", "question": "How many drivers are there?", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "driver : driver_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "school_bus", "question": "Show the name, home city, and age for all drivers.", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "driver : name (text) , home_city (text) , age (number)", "shrink-score": 0.7857142857142857}
{"db_id": "school_bus", "question": "Show the party and the number of drivers in each party.", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "driver : party (text) , driver_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "school_bus", "question": "Show the name of drivers in descending order of age.", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "driver : name (text) , age (number)", "shrink-score": 0.8571428571428571}
{"db_id": "school_bus", "question": "Show all different home cities.", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "driver : home_city (text)", "shrink-score": 0.9285714285714286}
{"db_id": "school_bus", "question": "Show the home city with the most number of drivers.", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "driver : home_city (text) , driver_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "school_bus", "question": "Show the party with drivers from Hartford and drivers older than 40.", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "driver : party (text) , home_city (text) , age (number)", "shrink-score": 0.7857142857142857}
{"db_id": "school_bus", "question": "Show home city where at least two drivers older than 40 are from.", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "driver : home_city (text) , age (number) , driver_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "school_bus", "question": "Show all home cities except for those having a driver older than 40.", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "driver : home_city (text) , age (number)", "shrink-score": 0.8571428571428571}
{"db_id": "school_bus", "question": "Show the names of the drivers without a school bus.", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "driver : name (text) , driver_id (number) | school_bus : driver_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "school_bus", "question": "Show the types of schools that have two schools.", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "school : type (text) , school (text) , school_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "school_bus", "question": "Show the school name and driver name for all school buses.", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "school : school (text) , school_id (number) | driver : name (text) , driver_id (number) | school_bus : school_id (number) , driver_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "school_bus", "question": "What is the maximum, minimum and average years spent working on a school bus?", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "school_bus : years_working (number)", "shrink-score": 0.9285714285714286}
{"db_id": "school_bus", "question": "Show the school name and type for schools without a school bus.", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "school : school (text) , type (text) , school_id (number) | school_bus : school_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "school_bus", "question": "Show the type of school and the number of buses for each type.", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "school : type (text) , school (text) , school_id (number) | school_bus : school_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "school_bus", "question": "How many drivers are from Hartford city or younger than 40?", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "driver : home_city (text) , age (number) , driver_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "school_bus", "question": "List names for drivers from Hartford city and younger than 40.", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "driver : name (text) , home_city (text) , age (number)", "shrink-score": 0.7857142857142857}
{"db_id": "school_bus", "question": "find the name of driver who is driving the school bus with the longest working history.", "schema": "driver : driver_id (number) , name (text) , party (text) , home_city (text) , age (number) | school : school_id (number) , grade (text) , school (text) , location (text) , type (text) | school_bus : school_id (number) , driver_id (number) , years_working (number) , if_full_time (others)", "summarized-schema": "driver : name (text) , driver_id (number) | school_bus : driver_id (number) , years_working (number)", "shrink-score": 0.7142857142857143}
{"db_id": "flight_company", "question": "How many flights have a velocity larger than 200?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "flight : velocity (number) , id (number)", "shrink-score": 0.9}
{"db_id": "flight_company", "question": "List the vehicle flight number, date and pilot of all the flights, ordered by altitude.", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "flight : vehicle_flight_number (text) , date (text) , pilot (text) , altitude (number)", "shrink-score": 0.8}
{"db_id": "flight_company", "question": "List the id, country, city and name of the airports ordered alphabetically by the name.", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "airport : id (number) , country (text) , city (text) , name (text)", "shrink-score": 0.8}
{"db_id": "flight_company", "question": "What is maximum group equity shareholding of the companies?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "operate_company : group_equity_shareholding (number)", "shrink-score": 0.95}
{"db_id": "flight_company", "question": "What is the velocity of the pilot named 'Thompson'?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "flight : velocity (number) , pilot (text)", "shrink-score": 0.9}
{"db_id": "flight_company", "question": "What are the names and types of the companies that have ever operated a flight?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "operate_company : name (text) , type (text) , id (number) | flight : id (number) , company_id (number)", "shrink-score": 0.75}
{"db_id": "flight_company", "question": "What are the names of the airports which are not in the country 'Iceland'?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "airport : name (text) , country (text)", "shrink-score": 0.9}
{"db_id": "flight_company", "question": "What are the distinct types of the companies that have operated any flights with velocity less than 200?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "operate_company : type (text) , id (number) | flight : id (number) , company_id (number) , velocity (number)", "shrink-score": 0.75}
{"db_id": "flight_company", "question": "What are the ids and names of the companies that operated more than one flight?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "operate_company : id (number) , name (text) | flight : id (number) , company_id (number)", "shrink-score": 0.8}
{"db_id": "flight_company", "question": "What is the id, name and IATA code of the airport that had most number of flights?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "airport : id (number) , name (text) , iata (text) | flight : id (number) , airport_id (number)", "shrink-score": 0.75}
{"db_id": "flight_company", "question": "What are the different pilot names who had piloted a flight in the country 'United States' or in the airport named 'Billund Airport'?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "flight : pilot (text) , id (number) , airport_id (number) | airport : id (number) , country (text) , name (text)", "shrink-score": 0.7}
{"db_id": "flight_company", "question": "What is the most common company type, and how many are there?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "operate_company : type (text) , id (number)", "shrink-score": 0.9}
{"db_id": "flight_company", "question": "How many airports haven't the pilot 'Thompson' driven an aircraft?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "airport : id (number) | flight : id (number) , airport_id (number) , pilot (text)", "shrink-score": 0.8}
{"db_id": "flight_company", "question": "List the name of the pilots who have flied for both a company that mainly provide 'Cargo' services and a company that runs 'Catering services' activities.", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "flight : pilot (text) , id (number) , company_id (number) | operate_company : id (number) , principal_activities (text)", "shrink-score": 0.75}
{"db_id": "flight_company", "question": "Which of the airport names contains the word 'international'?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "airport : name (text)", "shrink-score": 0.95}
{"db_id": "flight_company", "question": "How many companies operates airlines in each airport?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "airport : id (number) | operate_company : id (number) | flight : id (number) , company_id (number) , airport_id (number)", "shrink-score": 0.75}
{"db_id": "flight_company", "question": "how many airports are there in each country?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "airport : country (text) , id (number)", "shrink-score": 0.9}
{"db_id": "flight_company", "question": "which countries have more than 2 airports?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "airport : country (text) , id (number)", "shrink-score": 0.9}
{"db_id": "flight_company", "question": "which pilot is in charge of the most number of flights?", "schema": "airport : id (number) , city (text) , country (text) , iata (text) , icao (text) , name (text) | operate_company : id (number) , name (text) , type (text) , principal_activities (text) , incorporated_in (text) , group_equity_shareholding (number) | flight : id (number) , vehicle_flight_number (text) , date (text) , pilot (text) , velocity (number) , altitude (number) , airport_id (number) , company_id (number)", "summarized-schema": "flight : pilot (text) , id (number)", "shrink-score": 0.9}
{"db_id": "cre_Docs_and_Epenses", "question": "How many accounts do we have?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "accounts : account_id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "cre_Docs_and_Epenses", "question": "Count the number of accounts.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "accounts : account_id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "cre_Docs_and_Epenses", "question": "Show all account ids and account details.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "accounts : account_id (number) , account_details (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the ids and details of all accounts?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "accounts : account_id (number) , account_details (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "How many statements do we have?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "statements : statement_id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "cre_Docs_and_Epenses", "question": "Count the number of statements.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "statements : statement_id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "cre_Docs_and_Epenses", "question": "List all statement ids and statement details.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "statements : statement_id (number) , statement_details (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the ids and details of all statements?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "statements : statement_id (number) , statement_details (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Show statement id, statement detail, account detail for accounts.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "statements : statement_id (number) , statement_details (text) | accounts : statement_id (number) , account_details (text)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the statement ids, statement details, and account details, for all accounts?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "statements : statement_id (number) , statement_details (text) | accounts : statement_id (number) , account_details (text)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "Show all statement id and the number of accounts for each statement.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "accounts : statement_id (number) , account_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the different statement ids on accounts, and the number of accounts for each?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "accounts : statement_id (number) , account_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Show the statement id and the statement detail for the statement with most number of accounts.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "statements : statement_id (number) , statement_details (text) | accounts : statement_id (number) , account_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the statement id and statement detail for the statement that has the most corresponding accounts?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "statements : statement_id (number) , statement_details (text) | accounts : statement_id (number) , account_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "Show the number of documents.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "cre_Docs_and_Epenses", "question": "Count the number of documents.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "cre_Docs_and_Epenses", "question": "List the document type code, document name, and document description for the document with name 'Noel CV' or name 'King Book'.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_type_code (text) , document_name (text) , document_description (text)", "shrink-score": 0.8636363636363636}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the type come, name, and description of the document that has either the name 'Noel CV' or 'King Book'?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_type_code (text) , document_name (text) , document_description (text)", "shrink-score": 0.8636363636363636}
{"db_id": "cre_Docs_and_Epenses", "question": "Show the ids and names of all documents.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_id (number) , document_name (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the ids and names for each of the documents?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_id (number) , document_name (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Find names and ids of all documents with document type code BK.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_name (text) , document_id (number) , document_type_code (text)", "shrink-score": 0.8636363636363636}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the names and ids of documents that have the type code BK?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_name (text) , document_id (number) , document_type_code (text)", "shrink-score": 0.8636363636363636}
{"db_id": "cre_Docs_and_Epenses", "question": "How many documents are with document type code BK for each product id?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : project_id (number) , document_type_code (text) , document_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "cre_Docs_and_Epenses", "question": "Count the number of documents with the type code BK that correspond to each product id.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : project_id (number) , document_type_code (text) , document_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "cre_Docs_and_Epenses", "question": "Show the document name and the document date for all documents on project with details 'Graph Database project'.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_name (text) , document_date (time) , project_id (number) | projects : project_id (number) , project_details (text)", "shrink-score": 0.7727272727272727}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the names and dates for documents corresponding to project that has the details 'Graph Database project'?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_name (text) , document_date (time) , project_id (number) | projects : project_id (number) , project_details (text)", "shrink-score": 0.7727272727272727}
{"db_id": "cre_Docs_and_Epenses", "question": "Show project ids and the number of documents in each project.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : project_id (number) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "How many documents correspond with each project id?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : project_id (number) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What is the id of the project with least number of documents?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : project_id (number) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Return the id of the project that has the fewest corresponding documents.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : project_id (number) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Show the ids for projects with at least 2 documents.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : project_id (number) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What are project ids of projects that have 2 or more corresponding documents?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : project_id (number) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "List document type codes and the number of documents in each code.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_type_code (text) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "How many documents are there of each type?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_type_code (text) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What is the document type code with most number of documents?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_type_code (text) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Return the code of the document type that is most common.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_type_code (text) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Show the document type code with fewer than 3 documents.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_type_code (text) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the codes corresponding to document types for which there are less than 3 documents?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_type_code (text) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Show the statement detail and the corresponding document name for the statement with detail 'Private Project'.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "statements : statement_details (text) , statement_id (number) | documents : document_name (text) , document_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the details for statements with the details 'Private Project', and what are the names of the corresponding documents?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "statements : statement_details (text) , statement_id (number) | documents : document_name (text) , document_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "Show all document type codes, document type names, document type descriptions.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text)", "shrink-score": 0.8636363636363636}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the codes, names, and descriptions of the different document types?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text)", "shrink-score": 0.8636363636363636}
{"db_id": "cre_Docs_and_Epenses", "question": "What is the document type description for document type named Film?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "ref_document_types : document_type_description (text) , document_type_name (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Return the description of the document type name 'Film'.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "ref_document_types : document_type_description (text) , document_type_name (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What is the document type name and the document type description and creation date for all the documents?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "ref_document_types : document_type_name (text) , document_type_description (text) , document_type_code (text) | documents : document_date (time) , document_type_code (text)", "shrink-score": 0.7727272727272727}
{"db_id": "cre_Docs_and_Epenses", "question": "Return the type name, type description, and date of creation for each document.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "ref_document_types : document_type_name (text) , document_type_description (text) , document_type_code (text) | documents : document_date (time) , document_type_code (text)", "shrink-score": 0.7727272727272727}
{"db_id": "cre_Docs_and_Epenses", "question": "Show the number of projects.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "projects : project_id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "cre_Docs_and_Epenses", "question": "How many projects are there?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "projects : project_id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "cre_Docs_and_Epenses", "question": "List ids and details for all projects.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "projects : project_id (number) , project_details (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the ids and details for each project?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "projects : project_id (number) , project_details (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What is the project id and detail for the project with at least two documents?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "projects : project_id (number) , project_details (text) | documents : project_id (number) , document_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "Return the ids and details corresponding to projects for which there are more than two documents.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "projects : project_id (number) , project_details (text) | documents : project_id (number) , document_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "What is the project detail for the project with document \"King Book\"?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "projects : project_details (text) , project_id (number) | documents : project_id (number) , document_name (text)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "Give the details of the project with the document name 'King Book'.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "projects : project_details (text) , project_id (number) | documents : project_id (number) , document_name (text)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "How many budget types do we have?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "ref_budget_codes : budget_type_code (text)", "shrink-score": 0.9545454545454546}
{"db_id": "cre_Docs_and_Epenses", "question": "Count the number of budget codes.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "ref_budget_codes : budget_type_code (text)", "shrink-score": 0.9545454545454546}
{"db_id": "cre_Docs_and_Epenses", "question": "List all budget type codes and descriptions.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "ref_budget_codes : budget_type_code (text) , budget_type_description (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the type codes and descriptions of each budget type?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "ref_budget_codes : budget_type_code (text) , budget_type_description (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What is the description for the budget type with code ORG?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "ref_budget_codes : budget_type_description (text) , budget_type_code (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Return the description of the budget type that has the code ORG.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "ref_budget_codes : budget_type_description (text) , budget_type_code (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "How many documents have expenses?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents_with_expenses : document_id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "cre_Docs_and_Epenses", "question": "Count the number of documents with expenses.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents_with_expenses : document_id (number)", "shrink-score": 0.9545454545454546}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the document ids for the budget type code 'SF'?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents_with_expenses : document_id (number) , budget_type_code (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Give the ids of documents with expenses that have the budget code 'SF'.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents_with_expenses : document_id (number) , budget_type_code (text)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Show the budget type code and description and the corresponding document id.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "ref_budget_codes : budget_type_code (text) , budget_type_description (text) | documents_with_expenses : budget_type_code (text) , document_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "Return the budget type codes, budget type descriptions and document ids for documents with expenses.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "ref_budget_codes : budget_type_code (text) , budget_type_description (text) | documents_with_expenses : budget_type_code (text) , document_id (number)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "Show ids for all documents with budget types described as 'Government'.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents_with_expenses : document_id (number) , budget_type_code (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "Give the ids for documents that have the budget description 'Government'.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents_with_expenses : document_id (number) , budget_type_code (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "Show budget type codes and the number of documents in each budget type.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents_with_expenses : budget_type_code (text) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the different budget type codes, and how many documents are there for each?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents_with_expenses : budget_type_code (text) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What is the budget type code with most number of documents.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents_with_expenses : budget_type_code (text) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Give the budget type code that is most common among documents with expenses.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents_with_expenses : budget_type_code (text) , document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the ids of documents which don't have expense budgets?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_id (number) | documents_with_expenses : document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Return the ids of documents that do not have expenses.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_id (number) | documents_with_expenses : document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Show ids for all documents in type CV without expense budgets.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_id (number) , document_type_code (text) | documents_with_expenses : document_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the ids of documents with the type code CV that do not have expenses.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_id (number) , document_type_code (text) | documents_with_expenses : document_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the ids of documents with letter 's' in the name with any expense budgets.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_id (number) , document_name (text) | documents_with_expenses : document_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "cre_Docs_and_Epenses", "question": "Give the ids of documents that have expenses and contain the letter s in their names.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_id (number) , document_name (text) | documents_with_expenses : document_id (number)", "shrink-score": 0.8636363636363636}
{"db_id": "cre_Docs_and_Epenses", "question": "How many documents do not have any expense?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_id (number) | documents_with_expenses : document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "Count the number of documents that do not have expenses.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_id (number) | documents_with_expenses : document_id (number)", "shrink-score": 0.9090909090909091}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the dates for the documents with both 'GV' type and 'SF' type expenses?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_date (time) , document_id (number) | documents_with_expenses : document_id (number) , budget_type_code (text)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "Give the dates of creation for documents that have both budget type codes 'GV' and 'SF'.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "documents : document_date (time) , document_id (number) | documents_with_expenses : document_id (number) , budget_type_code (text)", "shrink-score": 0.8181818181818182}
{"db_id": "cre_Docs_and_Epenses", "question": "What are the account details with the largest value or with value having char '5' in it?", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "accounts : account_details (text)", "shrink-score": 0.9545454545454546}
{"db_id": "cre_Docs_and_Epenses", "question": "Return the account details with the greatest value, as well as those that include the character 5.", "schema": "ref_document_types : document_type_code (text) , document_type_name (text) , document_type_description (text) | ref_budget_codes : budget_type_code (text) , budget_type_description (text) | projects : project_id (number) , project_details (text) | documents : document_id (number) , document_type_code (text) , project_id (number) , document_date (time) , document_name (text) , document_description (text) , other_details (text) | statements : statement_id (number) , statement_details (text) | documents_with_expenses : document_id (number) , budget_type_code (text) , document_details (text) | accounts : account_id (number) , statement_id (number) , account_details (text)", "summarized-schema": "accounts : account_details (text)", "shrink-score": 0.9545454545454546}
{"db_id": "scientist_1", "question": "Find the total number of scientists.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : ssn (number)", "shrink-score": 0.8571428571428571}
{"db_id": "scientist_1", "question": "How many scientists are there?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : ssn (number)", "shrink-score": 0.8571428571428571}
{"db_id": "scientist_1", "question": "Find the total hours of all projects.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : hours (number)", "shrink-score": 0.8571428571428571}
{"db_id": "scientist_1", "question": "What is the total number of hours for all projects?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : hours (number)", "shrink-score": 0.8571428571428571}
{"db_id": "scientist_1", "question": "How many different scientists are assigned to any project?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "assignedto : scientist (number)", "shrink-score": 0.8571428571428571}
{"db_id": "scientist_1", "question": "Count the number of different scientists assigned to any project.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "assignedto : scientist (number)", "shrink-score": 0.8571428571428571}
{"db_id": "scientist_1", "question": "Find the number of distinct projects.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "scientist_1", "question": "How many different projects are there?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "scientist_1", "question": "Find the average hours of all projects.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : hours (number)", "shrink-score": 0.8571428571428571}
{"db_id": "scientist_1", "question": "What is the average hours across all projects?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : hours (number)", "shrink-score": 0.8571428571428571}
{"db_id": "scientist_1", "question": "Find the name of project that continues for the longest time.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text) , hours (number)", "shrink-score": 0.7142857142857143}
{"db_id": "scientist_1", "question": "What is the name of the project with the most hours?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text) , hours (number)", "shrink-score": 0.7142857142857143}
{"db_id": "scientist_1", "question": "List the name of all projects that are operated longer than the average working hours of all projects.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text) , hours (number)", "shrink-score": 0.7142857142857143}
{"db_id": "scientist_1", "question": "What are the names of projects that have taken longer than the average number of hours for all projects?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text) , hours (number)", "shrink-score": 0.7142857142857143}
{"db_id": "scientist_1", "question": "Find the name and hours of project that has the most number of scientists.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text) , hours (number) , code (text) | assignedto : project (text) , scientist (number)", "shrink-score": 0.2857142857142857}
{"db_id": "scientist_1", "question": "What is the name and hours for the project which has the most scientists assigned to it?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text) , hours (number) , code (text) | assignedto : project (text) , scientist (number)", "shrink-score": 0.2857142857142857}
{"db_id": "scientist_1", "question": "Find the name of the project for which a scientist whose name contains \u2018Smith\u2019 is assigned to.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | projects : name (text) , code (text) | assignedto : project (text) , scientist (number)", "shrink-score": 0.14285714285714285}
{"db_id": "scientist_1", "question": "What is the name of the project that has a scientist assigned to it whose name contains 'Smith'?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | projects : name (text) , code (text) | assignedto : project (text) , scientist (number)", "shrink-score": 0.14285714285714285}
{"db_id": "scientist_1", "question": "Find the total hours of the projects that scientists named Michael Rogers or Carol Smith are assigned to.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : hours (number) , code (text) , name (text) | assignedto : project (text) , scientist (number) | scientists : ssn (number) , name (text)", "shrink-score": 0.0}
{"db_id": "scientist_1", "question": "What is the sum of hours for projects that scientists with the name Michael Rogers or Carol Smith are assigned to?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : hours (number) , code (text) , name (text) | assignedto : project (text) , scientist (number) | scientists : ssn (number) , name (text)", "shrink-score": 0.0}
{"db_id": "scientist_1", "question": "Find the name of projects that require between 100 and 300 hours of work.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text) , hours (number)", "shrink-score": 0.7142857142857143}
{"db_id": "scientist_1", "question": "What are the names of projects that require between 100 and 300 hours?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text) , hours (number)", "shrink-score": 0.7142857142857143}
{"db_id": "scientist_1", "question": "Find the name of the scientist who worked on both a project named 'Matter of Time' and a project named 'A Puzzling Parallax'.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | projects : name (text) , code (text) | assignedto : project (text) , scientist (number)", "shrink-score": 0.14285714285714285}
{"db_id": "scientist_1", "question": "What are the names of any scientists who worked on projects named 'Matter of Time' and 'A Puzzling Pattern'?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | projects : name (text) , code (text) | assignedto : project (text) , scientist (number)", "shrink-score": 0.14285714285714285}
{"db_id": "scientist_1", "question": "List the names of all scientists sorted in alphabetical order.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "scientist_1", "question": "What are the names of all the scientists in alphabetical order?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text)", "shrink-score": 0.8571428571428571}
{"db_id": "scientist_1", "question": "Find the number of scientists involved for each project name.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text) , code (text) | assignedto : project (text) , scientist (number)", "shrink-score": 0.42857142857142855}
{"db_id": "scientist_1", "question": "What are the naems of all the projects, and how many scientists were assigned to each of them?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text) , code (text) | assignedto : project (text) , scientist (number)", "shrink-score": 0.42857142857142855}
{"db_id": "scientist_1", "question": "Find the number of scientists involved for the projects that require more than 300 hours.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text) , code (text) , hours (number) | assignedto : project (text) , scientist (number)", "shrink-score": 0.2857142857142857}
{"db_id": "scientist_1", "question": "What are the names of projects that require more than 300 hours, and how many scientists are assigned to each?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text) , code (text) , hours (number) | assignedto : project (text) , scientist (number)", "shrink-score": 0.2857142857142857}
{"db_id": "scientist_1", "question": "Find the number of projects which each scientist is working on and scientist's name.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | assignedto : scientist (number)", "shrink-score": 0.5714285714285714}
{"db_id": "scientist_1", "question": "What are the names of the scientists, and how many projects are each of them working on?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | assignedto : scientist (number)", "shrink-score": 0.5714285714285714}
{"db_id": "scientist_1", "question": "Find the SSN and name of scientists who are assigned to the project with the longest hours.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : ssn (number) , name (text) | projects : name (text) , code (text) , hours (number) | assignedto : project (text) , scientist (number)", "shrink-score": 0.0}
{"db_id": "scientist_1", "question": "What are the SSN and names of scientists working on the project with the most hours?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : ssn (number) , name (text) | projects : name (text) , code (text) , hours (number) | assignedto : project (text) , scientist (number)", "shrink-score": 0.0}
{"db_id": "scientist_1", "question": "Find the name of scientists who are assigned to some project.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | assignedto : scientist (number)", "shrink-score": 0.5714285714285714}
{"db_id": "scientist_1", "question": "What are the names of scientists who are assigned to any project?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | assignedto : scientist (number)", "shrink-score": 0.5714285714285714}
{"db_id": "scientist_1", "question": "Select the project names which are not assigned yet.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text) , code (text) | assignedto : project (text)", "shrink-score": 0.5714285714285714}
{"db_id": "scientist_1", "question": "What are the names of projects that have not been assigned?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "projects : name (text) , code (text) | assignedto : project (text)", "shrink-score": 0.5714285714285714}
{"db_id": "scientist_1", "question": "Find the name of scientists who are not assigned to any project.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | assignedto : scientist (number)", "shrink-score": 0.5714285714285714}
{"db_id": "scientist_1", "question": "What are the names of scientists who have not been assigned a project?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | assignedto : scientist (number)", "shrink-score": 0.5714285714285714}
{"db_id": "scientist_1", "question": "Find the number of scientists who are not assigned to any project.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : ssn (number) | assignedto : scientist (number)", "shrink-score": 0.7142857142857143}
{"db_id": "scientist_1", "question": "How many scientists do not have any projects assigned to them?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : ssn (number) | assignedto : scientist (number)", "shrink-score": 0.7142857142857143}
{"db_id": "scientist_1", "question": "Find the names of scientists who are not working on the project with the highest hours.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | projects : name (text) , code (text) , hours (number) | assignedto : project (text) , scientist (number)", "shrink-score": 0.0}
{"db_id": "scientist_1", "question": "What are the names of scientists who are not working on the project with the most hours?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | projects : name (text) , code (text) , hours (number) | assignedto : project (text) , scientist (number)", "shrink-score": 0.0}
{"db_id": "scientist_1", "question": "List all the scientists' names, their projects' names, and the hours worked by that scientist on each project, in alphabetical order of project name, and then scientist name.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | projects : name (text) , hours (number) , code (text) | assignedto : scientist (number) , project (text)", "shrink-score": 0.0}
{"db_id": "scientist_1", "question": "What are the names of each scientist, the names of the projects that they work on, and the hours for each of those projects, listed in alphabetical order by project name, then scientist name.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | projects : name (text) , hours (number) , code (text) | assignedto : scientist (number) , project (text)", "shrink-score": 0.0}
{"db_id": "scientist_1", "question": "Find name of the project that needs the least amount of time to finish and the name of scientists who worked on it.", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | projects : name (text) , code (text) , hours (number) | assignedto : project (text) , scientist (number)", "shrink-score": 0.0}
{"db_id": "scientist_1", "question": "What is the name of the project that requires the fewest number of hours, and the names of the scientists assigned to it?", "schema": "scientists : ssn (number) , name (text) | projects : code (text) , name (text) , hours (number) | assignedto : scientist (number) , project (text)", "summarized-schema": "scientists : name (text) , ssn (number) | projects : name (text) , code (text) , hours (number) | assignedto : project (text) , scientist (number)", "shrink-score": 0.0}
{"db_id": "wine_1", "question": "What is the name of the highest rated wine?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , score (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "Give the name of the wine with the highest score.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , score (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "Which winery is the wine that has the highest score from?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : winery (text) , score (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "What is the winery at which the wine with the highest score was made?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : winery (text) , score (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "Find the names of all wines produced in 2008.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , year (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "What are the names of all wines produced in 2008?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , year (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "List the grapes and appelations of all wines.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : grape (text) , appelation (text)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "What are the grapes and appelations of each wine?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : grape (text) , appelation (text)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "List the names and scores of all wines.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , score (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "What are the names and scores of all wines?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , score (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "List the area and county of all appelations.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "appellations : area (text) , county (text)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "What are the areas and counties for all appelations?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "appellations : area (text) , county (text)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "What are the prices of wines produced before the year of 2010?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , year (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "Return the prices of wines produced before 2010.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , year (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "List the names of all distinct wines that have scores higher than 90.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , score (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "What are the names of wines with scores higher than 90?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , score (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "List the names of all distinct wines that are made of red color grape.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , grape (text) | grapes : grape (text) , color (text)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "What are the names of wines made from red grapes?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , grape (text) | grapes : grape (text) , color (text)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "Find the names of all distinct wines that have appellations in North Coast area.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , appelation (text) | appellations : appelation (text) , area (text)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "What are the distinct names of wines that have appellations in the North Coast area?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , appelation (text) | appellations : appelation (text) , area (text)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "How many wines are produced at Robert Biale winery?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : winery (text)", "shrink-score": 0.95}
{"db_id": "wine_1", "question": "Count the number of wines produced at Robert Biale winery.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : winery (text)", "shrink-score": 0.95}
{"db_id": "wine_1", "question": "How many appelations are in Napa Country?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "appellations : county (text) , no (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "Count the number of appelations in Napa County.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "appellations : county (text) , no (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "Give me the average prices of wines that are produced by appelations in Sonoma County.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , appelation (text) | appellations : appelation (text) , county (text)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "What is the average price of wines produced in appelations in Sonoma County?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , appelation (text) | appellations : appelation (text) , county (text)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "What are the names and scores of wines that are made of white color grapes?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , score (number) , grape (text) | grapes : grape (text) , color (text)", "shrink-score": 0.75}
{"db_id": "wine_1", "question": "Give the names and scores of wines made from white grapes.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , score (number) , grape (text) | grapes : grape (text) , color (text)", "shrink-score": 0.75}
{"db_id": "wine_1", "question": "Find the maximum price of wins from the appelations in Central Coast area and produced before the year of 2005.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , appelation (text) , year (number) | appellations : appelation (text) , area (text)", "shrink-score": 0.75}
{"db_id": "wine_1", "question": "What is the maximum price of wines from the appelation in the Central Coast area, which was produced before 2005?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , appelation (text) , year (number) | appellations : appelation (text) , area (text)", "shrink-score": 0.75}
{"db_id": "wine_1", "question": "Find the the grape whose white color grapes are used to produce wines with scores higher than 90.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "grapes : grape (text) , color (text) | wine : grape (text) , score (number)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "Find the white grape used to produce wines with scores above 90.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "grapes : grape (text) , color (text) | wine : grape (text) , score (number)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "What are the wines that have prices higher than 50 and made of Red color grapes?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , grape (text) , price (number) | grapes : grape (text) , color (text)", "shrink-score": 0.75}
{"db_id": "wine_1", "question": "What are the names of wines made from red grapes and with prices above 50?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , grape (text) , price (number) | grapes : grape (text) , color (text)", "shrink-score": 0.75}
{"db_id": "wine_1", "question": "What are the wines that have prices lower than 50 and have appelations in Monterey county?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , appelation (text) , price (number) | appellations : appelation (text) , county (text)", "shrink-score": 0.75}
{"db_id": "wine_1", "question": "Give the neames of wines with prices below 50 and with appelations in Monterey county.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , appelation (text) , price (number) | appellations : appelation (text) , county (text)", "shrink-score": 0.75}
{"db_id": "wine_1", "question": "What are the numbers of wines for different grapes?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : grape (text)", "shrink-score": 0.95}
{"db_id": "wine_1", "question": "How many wines are there for each grape?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : grape (text)", "shrink-score": 0.95}
{"db_id": "wine_1", "question": "What are the average prices of wines for different years?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , year (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "What is the average prices of wines for each each?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , year (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "Find the distinct names of all wines that have prices higher than some wines from John Anthony winery.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , price (number) , winery (text)", "shrink-score": 0.85}
{"db_id": "wine_1", "question": "What are the distinct names of wines with prices higher than any wine from John Anthony winery.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , price (number) , winery (text)", "shrink-score": 0.85}
{"db_id": "wine_1", "question": "List the names of all distinct wines in alphabetical order.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text)", "shrink-score": 0.95}
{"db_id": "wine_1", "question": "What are the names of wines, sorted in alphabetical order?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text)", "shrink-score": 0.95}
{"db_id": "wine_1", "question": "List the names of all distinct wines ordered by price.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , price (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "What are the names of wines, sorted by price ascending?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , price (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "What is the area of the appelation that produces the highest number of wines before the year of 2010?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "appellations : area (text) , appelation (text) , no (number) | wine : appelation (text) , year (number)", "shrink-score": 0.75}
{"db_id": "wine_1", "question": "What is the area for the appelation which produced the most wines prior to 2010?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "appellations : area (text) , appelation (text) , no (number) | wine : appelation (text) , year (number)", "shrink-score": 0.75}
{"db_id": "wine_1", "question": "What is the color of the grape whose wine products has the highest average price?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "grapes : color (text) , grape (text) | wine : grape (text) , price (number)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "Give the color of the grape whose wine products have the highest average price?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "grapes : color (text) , grape (text) | wine : grape (text) , price (number)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "Find the distinct names of wines produced before the year of 2000 or after the year of 2010.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , year (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "Give the distinct names of wines made before 2000 or after 2010.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , year (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "Find the distinct winery of wines having price between 50 and 100.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : winery (text) , price (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "What are the distinct wineries which produce wines costing between 50 and 100?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : winery (text) , price (number)", "shrink-score": 0.9}
{"db_id": "wine_1", "question": "What are the average prices and cases of wines produced in the year of 2009 and made of Zinfandel grape?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , cases (number) , year (number) , grape (text)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "Give the average price and case of wines made from Zinfandel grapes in the year 2009.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , cases (number) , year (number) , grape (text)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "What are the maximum price and score of wines produced by St. Helena appelation?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , score (number) , appelation (text)", "shrink-score": 0.85}
{"db_id": "wine_1", "question": "Give the maximum price and score for wines produced in the appelation St. Helena.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , score (number) , appelation (text)", "shrink-score": 0.85}
{"db_id": "wine_1", "question": "What are the maximum price and score of wines in each year?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , score (number) , year (number)", "shrink-score": 0.85}
{"db_id": "wine_1", "question": "What are the maximum price and score of wines for each year?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , score (number) , year (number)", "shrink-score": 0.85}
{"db_id": "wine_1", "question": "What are the average price and score of wines grouped by appelation?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , score (number) , appelation (text)", "shrink-score": 0.85}
{"db_id": "wine_1", "question": "What are the average price and score of wines for each appelation?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , score (number) , appelation (text)", "shrink-score": 0.85}
{"db_id": "wine_1", "question": "Find the wineries that have at least four wines.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : winery (text)", "shrink-score": 0.95}
{"db_id": "wine_1", "question": "Which wineries produce at least four wines?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : winery (text)", "shrink-score": 0.95}
{"db_id": "wine_1", "question": "Find the country of all appelations who have at most three wines.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "appellations : county (text) , appelation (text) , no (number) | wine : appelation (text)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "What are the countries for appelations with at most 3 wines?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "appellations : county (text) , appelation (text) , no (number) | wine : appelation (text)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "What are the names of wines whose production year are before the year of all wines by Brander winery?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , year (number) , winery (text)", "shrink-score": 0.85}
{"db_id": "wine_1", "question": "What are the names of wines produced before any wine from the Brander winery?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , year (number) , winery (text)", "shrink-score": 0.85}
{"db_id": "wine_1", "question": "What are the names of wines that are more expensive then all wines made in the year 2006?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , price (number) , year (number)", "shrink-score": 0.85}
{"db_id": "wine_1", "question": "Give the names of wines with prices above any wine produced in 2006.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : name (text) , price (number) , year (number)", "shrink-score": 0.85}
{"db_id": "wine_1", "question": "Find the top 3 wineries with the greatest number of wines made of white color grapes.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : winery (text) , grape (text) | grapes : grape (text) , color (text) , id (number)", "shrink-score": 0.75}
{"db_id": "wine_1", "question": "Which 3 wineries produce the most wines made from white grapes?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : winery (text) , grape (text) | grapes : grape (text) , color (text) , id (number)", "shrink-score": 0.75}
{"db_id": "wine_1", "question": "List the grape, winery and year of the wines whose price is bigger than 100 ordered by year.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : grape (text) , winery (text) , year (number) , price (number)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "What are the grapes, wineries and years for wines with price higher than 100, sorted by year?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : grape (text) , winery (text) , year (number) , price (number)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "List the grape, appelation and name of wines whose score is higher than 93 ordered by Name.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : grape (text) , appelation (text) , name (text) , score (number)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "What are the grapes, appelations, and wines with scores above 93, sorted by Name?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : grape (text) , appelation (text) , name (text) , score (number)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "Find the appelations that produce wines after the year of 2008 but not in Central Coast area.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "appellations : appelation (text) , area (text) | wine : appelation (text) , year (number)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "What are the appelations for wines produced after 2008 but not in the Central Coast area?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "appellations : appelation (text) , area (text) | wine : appelation (text) , year (number)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "Find the average price of wines that are not produced from Sonoma county.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , appelation (text) | appellations : appelation (text) , county (text)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "What is the average price for wines not produced in Sonoma county?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "wine : price (number) , appelation (text) | appellations : appelation (text) , county (text)", "shrink-score": 0.8}
{"db_id": "wine_1", "question": "Find the county where produces the most number of wines with score higher than 90.", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "appellations : county (text) , appelation (text) , no (number) | wine : appelation (text) , score (number)", "shrink-score": 0.75}
{"db_id": "wine_1", "question": "What is the county that produces the most wines scoring higher than 90?", "schema": "grapes : id (number) , grape (text) , color (text) | appellations : no (number) , appelation (text) , county (text) , state (text) , area (text) , isava (text) | wine : no (number) , grape (text) , winery (text) , appelation (text) , state (text) , name (text) , year (number) , price (number) , score (number) , cases (number) , drink (text)", "summarized-schema": "appellations : county (text) , appelation (text) , no (number) | wine : appelation (text) , score (number)", "shrink-score": 0.75}
{"db_id": "train_station", "question": "How many train stations are there?", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : station_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "train_station", "question": "Show the name, location, and number of platforms for all stations.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : name (text) , location (text) , number_of_platforms (number)", "shrink-score": 0.7857142857142857}
{"db_id": "train_station", "question": "What are all locations of train stations?", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : location (text)", "shrink-score": 0.9285714285714286}
{"db_id": "train_station", "question": "Show the names and total passengers for all train stations not in London.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : name (text) , total_passengers (number) , location (text)", "shrink-score": 0.7857142857142857}
{"db_id": "train_station", "question": "Show the names and main services for train stations that have the top three total number of passengers.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : name (text) , main_services (text) , total_passengers (number)", "shrink-score": 0.7857142857142857}
{"db_id": "train_station", "question": "What is the average and maximum number of total passengers for train stations in London or Glasgow?", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : total_passengers (number) , location (text)", "shrink-score": 0.8571428571428571}
{"db_id": "train_station", "question": "Show all locations and the total number of platforms and passengers for all train stations in each location.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : location (text) , number_of_platforms (number) , total_passengers (number)", "shrink-score": 0.7857142857142857}
{"db_id": "train_station", "question": "Show all locations that have train stations with at least 15 platforms and train stations with more than 25 total passengers.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : location (text) , number_of_platforms (number) , total_passengers (number)", "shrink-score": 0.7857142857142857}
{"db_id": "train_station", "question": "Show all locations which don't have a train station with at least 15 platforms.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : location (text) , number_of_platforms (number)", "shrink-score": 0.8571428571428571}
{"db_id": "train_station", "question": "Show the location with most number of train stations.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : location (text) , station_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "train_station", "question": "Show the name, time, and service for all trains.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "train : name (text) , time (text) , service (text)", "shrink-score": 0.7857142857142857}
{"db_id": "train_station", "question": "Show the number of trains", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "train : train_id (number)", "shrink-score": 0.9285714285714286}
{"db_id": "train_station", "question": "Show the name and service for all trains in order by time.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "train : name (text) , service (text) , time (text)", "shrink-score": 0.7857142857142857}
{"db_id": "train_station", "question": "Show the station name and number of trains in each station.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : name (text) , station_id (number) | train_station : station_id (number) , train_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "train_station", "question": "show the train name and station name for each train.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : name (text) , station_id (number) | train : name (text) , train_id (number) | train_station : station_id (number) , train_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "train_station", "question": "Show all train names and times in stations in London in descending order by train time.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : name (text) , station_id (number) , location (text) | train : name (text) , time (text) , train_id (number) | train_station : station_id (number) , train_id (number)", "shrink-score": 0.42857142857142855}
{"db_id": "train_station", "question": "Show the station name with greatest number of trains.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : name (text) , station_id (number) | train_station : station_id (number) , train_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "train_station", "question": "Show the station name with at least two trains.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : name (text) , station_id (number) | train_station : station_id (number) , train_id (number)", "shrink-score": 0.7142857142857143}
{"db_id": "train_station", "question": "Show all locations with only 1 station.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : location (text) , station_id (number)", "shrink-score": 0.8571428571428571}
{"db_id": "train_station", "question": "Show station names without any trains.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : name (text) , station_id (number) | train_station : station_id (number)", "shrink-score": 0.7857142857142857}
{"db_id": "train_station", "question": "What are the names of the stations which serve both \"Ananthapuri Express\" and \"Guruvayur Express\" trains?", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : name (text) , station_id (number) | train : name (text) , train_id (number) | train_station : station_id (number) , train_id (number)", "shrink-score": 0.5714285714285714}
{"db_id": "train_station", "question": "Find the names of the trains that do not pass any station located in London.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : name (text) , station_id (number) , location (text) | train : name (text) , train_id (number) | train_station : train_id (number) , station_id (number)", "shrink-score": 0.5}
{"db_id": "train_station", "question": "List the names and locations of all stations ordered by their yearly entry exit and interchange amounts.", "schema": "station : station_id (number) , name (text) , annual_entry_exit (number) , annual_interchanges (number) , total_passengers (number) , location (text) , main_services (text) , number_of_platforms (number) | train : train_id (number) , name (text) , time (text) , service (text) | train_station : train_id (number) , station_id (number)", "summarized-schema": "station : name (text) , location (text) , annual_entry_exit (number) , annual_interchanges (number)", "shrink-score": 0.7142857142857143}
{"db_id": "driving_school", "question": "List all vehicle id", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "vehicles : vehicle_id (number)", "shrink-score": 0.975}
{"db_id": "driving_school", "question": "What are the ids of all vehicles?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "vehicles : vehicle_id (number)", "shrink-score": 0.975}
{"db_id": "driving_school", "question": "How many vehicle in total?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "vehicles : vehicle_id (number)", "shrink-score": 0.975}
{"db_id": "driving_school", "question": "How many vehicles exist?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "vehicles : vehicle_id (number)", "shrink-score": 0.975}
{"db_id": "driving_school", "question": "Show the detail of vehicle with id 1.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "vehicles : vehicle_details (text) , vehicle_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "What are the details of the car with id 1?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "vehicles : vehicle_details (text) , vehicle_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "List the first name middle name and last name of all staff.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : first_name (text) , middle_name (text) , last_name (text)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "What are the first, middle, and last names of all staff?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : first_name (text) , middle_name (text) , last_name (text)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "What is the birthday of the staff member with first name as Janessa and last name as Sawayn?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : date_of_birth (time) , first_name (text) , last_name (text)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "What is the date of birth for the staff member named Janessa Sawayn?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : date_of_birth (time) , first_name (text) , last_name (text)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "When did the staff member with first name as Janessa and last name as Sawayn join the company?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : date_joined_staff (time) , first_name (text) , last_name (text)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "When did the staff member named Janessa Sawayn join the company?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : date_joined_staff (time) , first_name (text) , last_name (text)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "When did the staff member with first name as Janessa and last name as Sawayn leave the company?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : date_left_staff (time) , first_name (text) , last_name (text)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "When did the staff member Janessa Sawayn leave the company?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : date_left_staff (time) , first_name (text) , last_name (text)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "How many staff have the first name Ludie?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : first_name (text) , staff_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "How many employees have a first name of Ludie?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : first_name (text) , staff_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "What is the nickname of staff with first name as Janessa and last name as Sawayn?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : nickname (text) , first_name (text) , last_name (text)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "What is the nickname of the employee named Janessa Sawayn?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : nickname (text) , first_name (text) , last_name (text)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "How many staff in total?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : staff_id (number)", "shrink-score": 0.975}
{"db_id": "driving_school", "question": "How many employees are there?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : staff_id (number)", "shrink-score": 0.975}
{"db_id": "driving_school", "question": "Which city does staff with first name as Janessa and last name as Sawayn live?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : city (text) , address_id (number) | staff : staff_address_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "In what city does Janessa Sawayn live?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : city (text) , address_id (number) | staff : staff_address_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "Which country and state does staff with first name as Janessa and last name as Sawayn lived?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : country (text) , state_province_county (text) , address_id (number) | staff : staff_address_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.85}
{"db_id": "driving_school", "question": "In which country and state does Janessa Sawayn live?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : country (text) , state_province_county (text) , address_id (number) | staff : staff_address_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.85}
{"db_id": "driving_school", "question": "How long is the total lesson time took by customer with first name as Rylan and last name as Goodwin?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "lessons : lesson_time (text) , customer_id (number) | customers : customer_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "How long is the total lesson time took by the customer named Rylan Goodwin?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "lessons : lesson_time (text) , customer_id (number) | customers : customer_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "What is the zip code of staff with first name as Janessa and last name as Sawayn lived?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : zip_postcode (text) , address_id (number) | staff : staff_address_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "What is the zip code of the hosue of the employee named Janessa Sawayn?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : zip_postcode (text) , address_id (number) | staff : staff_address_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "How many staff live in state Georgia?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : state_province_county (text) , address_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "How many employees live in Georgia?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : state_province_county (text) , address_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "Find out the first name and last name of staff lived in city Damianfort.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : first_name (text) , last_name (text) , staff_address_id (number) | addresses : address_id (number) , city (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "What is the first and last name of all employees who live in the city Damianfort?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : first_name (text) , last_name (text) , staff_address_id (number) | addresses : address_id (number) , city (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "Which city lives most of staffs? List the city name and number of staffs.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : city (text) , address_id (number) | staff : staff_address_id (number) , staff_id (number)", "shrink-score": 0.9}
{"db_id": "driving_school", "question": "In which city do the most employees live and how many of them live there?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : city (text) , address_id (number) | staff : staff_address_id (number) , staff_id (number)", "shrink-score": 0.9}
{"db_id": "driving_school", "question": "List the states which have between 2 to 4 staffs living there.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : state_province_county (text) , address_id (number) | staff : staff_address_id (number) , staff_id (number)", "shrink-score": 0.9}
{"db_id": "driving_school", "question": "What are the names of the states that have 2 to 4 employees living there?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : state_province_county (text) , address_id (number) | staff : staff_address_id (number) , staff_id (number)", "shrink-score": 0.9}
{"db_id": "driving_school", "question": "List the first name and last name of all customers.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : first_name (text) , last_name (text)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "What are the first and last names for all customers?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : first_name (text) , last_name (text)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "List email address and birthday of customer whose first name as Carole.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : email_address (text) , date_of_birth (time) , first_name (text)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "What are the email addresses and date of births for all customers who have a first name of Carole?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : email_address (text) , date_of_birth (time) , first_name (text)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "List phone number and email address of customer with more than 2000 outstanding balance.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : phone_number (text) , email_address (text) , amount_outstanding (number)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "What are the phone numbers and email addresses of all customers who have an outstanding balance of more than 2000?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : phone_number (text) , email_address (text) , amount_outstanding (number)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "What is the status code, mobile phone number and email address of customer with last name as Kohler or first name as Marina?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : customer_status_code (text) , cell_mobile_phone_number (text) , email_address (text) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "What is the status code, phone number, and email address of the customer whose last name is Kohler or whose first name is Marina?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : customer_status_code (text) , cell_mobile_phone_number (text) , email_address (text) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "When are the birthdays of customer who are classified as 'Good Customer' status?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : date_of_birth (time) , customer_status_code (text)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "What is the date of birth of every customer whose status code is 'Good Customer'?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : date_of_birth (time) , customer_status_code (text)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "When did customer with first name as Carole and last name as Bernhard became a customer?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : date_became_customer (time) , first_name (text) , last_name (text)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "When did Carole Bernhard first become a customer?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : date_became_customer (time) , first_name (text) , last_name (text)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "How many customers in total?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : customer_id (number)", "shrink-score": 0.975}
{"db_id": "driving_school", "question": "How many customers are there?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : customer_id (number)", "shrink-score": 0.975}
{"db_id": "driving_school", "question": "List all customer status codes and the number of customers having each status code.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : customer_status_code (text) , customer_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "For each customer status code, how many customers are classified that way?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : customer_status_code (text) , customer_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "Which customer status code has least number of customers?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : customer_status_code (text) , customer_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "What is the status code with the least number of customers?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : customer_status_code (text) , customer_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "How many lessons taken by customer with first name as Rylan and last name as Goodwin were completed?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : customer_id (number) , first_name (text) , last_name (text) | lessons : customer_id (number) , lesson_status_code (text) , lesson_id (number)", "shrink-score": 0.85}
{"db_id": "driving_school", "question": "How many lessons did the customer Ryan Goodwin complete?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : customer_id (number) , first_name (text) , last_name (text) | lessons : customer_id (number) , lesson_status_code (text) , lesson_id (number)", "shrink-score": 0.85}
{"db_id": "driving_school", "question": "What is maximum, minimum and average amount of outstanding of customer?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : amount_outstanding (number)", "shrink-score": 0.975}
{"db_id": "driving_school", "question": "What is the maximum, minimum, and average amount of money outsanding for all customers?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : amount_outstanding (number)", "shrink-score": 0.975}
{"db_id": "driving_school", "question": "List the first name and last name of customers have the amount of outstanding between 1000 and 3000.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : first_name (text) , last_name (text) , amount_outstanding (number)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "What are the first and last names of all customers with between 1000 and 3000 dollars outstanding?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : first_name (text) , last_name (text) , amount_outstanding (number)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "List first name and last name of customers lived in city Lockmanfurt.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : first_name (text) , last_name (text) , customer_address_id (number) | addresses : address_id (number) , city (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "What are the first and last names of all customers who lived in Lockmanfurt?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : first_name (text) , last_name (text) , customer_address_id (number) | addresses : address_id (number) , city (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "Which country does customer with first name as Carole and last name as Bernhard lived in?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : country (text) , address_id (number) | customers : customer_address_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "What is the country in which the customer Carole Bernhard lived?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : country (text) , address_id (number) | customers : customer_address_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "What is zip code of customer with first name as Carole and last name as Bernhard?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : zip_postcode (text) , address_id (number) | customers : customer_address_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "What is the zip code of the customer Carole Bernhard?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : zip_postcode (text) , address_id (number) | customers : customer_address_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "Which city does has most number of customers?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : city (text) , address_id (number) | customers : customer_address_id (number) , customer_id (number)", "shrink-score": 0.9}
{"db_id": "driving_school", "question": "What is the city with the most customers?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "addresses : city (text) , address_id (number) | customers : customer_address_id (number) , customer_id (number)", "shrink-score": 0.9}
{"db_id": "driving_school", "question": "How much in total does customer with first name as Carole and last name as Bernhard paid?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customer_payments : amount_payment (number) , customer_id (number) | customers : customer_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "What is the total amount of moeny paid by the customer Carole Bernhard?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customer_payments : amount_payment (number) , customer_id (number) | customers : customer_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "List the number of customers that did not have any payment history.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : customer_id (number) | customer_payments : customer_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "How many customers have no payment histories?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : customer_id (number) | customer_payments : customer_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "List first name and last name of customers that have more than 2 payments.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : first_name (text) , last_name (text) , customer_id (number) | customer_payments : customer_id (number)", "shrink-score": 0.9}
{"db_id": "driving_school", "question": "What are the first and last names of all customers with more than 2 payments?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : first_name (text) , last_name (text) , customer_id (number) | customer_payments : customer_id (number)", "shrink-score": 0.9}
{"db_id": "driving_school", "question": "List all payment methods and number of payments using each payment methods.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customer_payments : payment_method_code (text) , customer_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "For each payment method, how many payments were made?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customer_payments : payment_method_code (text) , customer_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "How many lessons were in cancelled state?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "lessons : lesson_status_code (text) , lesson_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "How many lessons have been cancelled?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "lessons : lesson_status_code (text) , lesson_id (number)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "List lesson id of all lessons taught by staff with first name as Janessa, last name as Sawayn and nickname containing letter 's'.", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "lessons : lesson_id (number) , staff_id (number) | staff : staff_id (number) , first_name (text) , last_name (text) , nickname (text)", "shrink-score": 0.85}
{"db_id": "driving_school", "question": "What are the the lesson ids of all staff taught by Janessa Sawayn whose nickname has the letter s?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "lessons : lesson_id (number) , staff_id (number) | staff : staff_id (number) , first_name (text) , last_name (text) , nickname (text)", "shrink-score": 0.85}
{"db_id": "driving_school", "question": "How many lessons taught by staff whose first name has letter 'a' in it?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : staff_id (number) , first_name (text) | lessons : staff_id (number) , lesson_id (number)", "shrink-score": 0.9}
{"db_id": "driving_school", "question": "How many lessons were taught by a staff member whose first name has the letter 'a' in it?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : staff_id (number) , first_name (text) | lessons : staff_id (number) , lesson_id (number)", "shrink-score": 0.9}
{"db_id": "driving_school", "question": "How long is the total lesson time taught by staff with first name as Janessa and last name as Sawayn?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "lessons : lesson_time (text) , staff_id (number) | staff : staff_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "What is the total time for all lessons taught by Janessa Sawayn?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "lessons : lesson_time (text) , staff_id (number) | staff : staff_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "What is average lesson price taught by staff with first name as Janessa and last name as Sawayn?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "lessons : price (number) , staff_id (number) | staff : staff_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "What is the average price for a lesson taught by Janessa Sawayn?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "lessons : price (number) , staff_id (number) | staff : staff_id (number) , first_name (text) , last_name (text)", "shrink-score": 0.875}
{"db_id": "driving_school", "question": "How many lesson does customer with first name Ray took?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : customer_id (number) , first_name (text) | lessons : customer_id (number) , lesson_id (number)", "shrink-score": 0.9}
{"db_id": "driving_school", "question": "How many lessons did the customer with the first name Ray take?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "customers : customer_id (number) , first_name (text) | lessons : customer_id (number) , lesson_id (number)", "shrink-score": 0.9}
{"db_id": "driving_school", "question": "Which last names are both used by customers and by staff?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : last_name (text) | customers : last_name (text)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "What are the last names that are used by customers and staff?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : last_name (text) | customers : last_name (text)", "shrink-score": 0.95}
{"db_id": "driving_school", "question": "What is the first name of the staff who did not give any lesson?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : first_name (text) , staff_id (number) | lessons : staff_id (number)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "What is the first name of all employees who do not give any lessons?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "staff : first_name (text) , staff_id (number) | lessons : staff_id (number)", "shrink-score": 0.925}
{"db_id": "driving_school", "question": "What is the id and detail of the vehicle used in lessons for most of the times?", "schema": "addresses : address_id (number) , line_1_number_building (text) , city (text) , zip_postcode (text) , state_province_county (text) , country (text) | staff : staff_id (number) , staff_address_id (number) , nickname (text) , first_name (text) , middle_name (text) , last_name (text) , date_of_birth (time) , date_joined_staff (time) , date_left_staff (time) | vehicles : vehicle_id (number) , vehicle_details (text) | customers : customer_id (number) , customer_address_id (number) , customer_status_code (text) , date_became_customer (time) , date_of_birth (time) , first_name (text) , last_name (text) , amount_outstanding (number) , email_address (text) , phone_number (text) , cell_mobile_phone_number (text) | customer_payments : customer_id (number) , datetime_payment (time) , payment_method_code (text) , amount_payment (number) | lessons : lesson_id (number) , customer_id (number) , lesson_status_code (text) , staff_id (number) , vehicle_id (number) , lesson_date (time) , lesson_time (text) , price (number)", "summarized-schema": "vehicles : vehicle_id (number) , vehicle_details (text) | lessons : vehicle_id (number) , lesson_id (number)", "shrink-score": 0.9}
{"db_id": "activity_1", "question": "How many faculty do we have?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : facid (number)", "shrink-score": 0.9545454545454546}
{"db_id": "activity_1", "question": "What is the total number of faculty members?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : facid (number)", "shrink-score": 0.9545454545454546}
{"db_id": "activity_1", "question": "What ranks do we have for faculty?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : rank (text)", "shrink-score": 0.9545454545454546}
{"db_id": "activity_1", "question": "Find the list of distinct ranks for faculty.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : rank (text)", "shrink-score": 0.9545454545454546}
{"db_id": "activity_1", "question": "Show all the distinct buildings that have faculty rooms.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : building (text)", "shrink-score": 0.9545454545454546}
{"db_id": "activity_1", "question": "What buildings have faculty offices?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : building (text)", "shrink-score": 0.9545454545454546}
{"db_id": "activity_1", "question": "Show the rank, first name, and last name for all the faculty.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : rank (text) , fname (text) , lname (text)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "What are the rank, first name, and last name of the faculty members?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : rank (text) , fname (text) , lname (text)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "Show the first name, last name, and phone number for all female faculty members.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : fname (text) , lname (text) , phone (number) , sex (text)", "shrink-score": 0.8181818181818182}
{"db_id": "activity_1", "question": "What are the first name, last name, and phone number of all the female faculty members?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : fname (text) , lname (text) , phone (number) , sex (text)", "shrink-score": 0.8181818181818182}
{"db_id": "activity_1", "question": "Show ids for all the male faculty.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : facid (number) , sex (text)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "What are the faculty ids of all the male faculty members?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : facid (number) , sex (text)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "How many female Professors do we have?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : sex (text) , rank (text) , facid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "Count the number of female Professors we have.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : sex (text) , rank (text) , facid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "Show the phone, room, and building for the faculty named Jerry Prince.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : phone (number) , room (text) , building (text) , fname (text) , lname (text)", "shrink-score": 0.7727272727272727}
{"db_id": "activity_1", "question": "What are the phone, room, and building of the faculty member called Jerry Prince?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : phone (number) , room (text) , building (text) , fname (text) , lname (text)", "shrink-score": 0.7727272727272727}
{"db_id": "activity_1", "question": "How many Professors are in building NEB?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : rank (text) , building (text) , facid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "Count the number of Professors who have office in building NEB.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : rank (text) , building (text) , facid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "Show the first name and last name for all the instructors.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : fname (text) , lname (text) , rank (text)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "What are the first name and last name of all the instructors?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : fname (text) , lname (text) , rank (text)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "Show all the buildings along with the number of faculty members the buildings have.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : building (text) , facid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "How many faculty members does each building have? List the result with the name of the building.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : building (text) , facid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "Which building has most faculty members?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : building (text) , facid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "Find the building that has the largest number of faculty members.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : building (text) , facid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "Show all the buildings that have at least 10 professors.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : building (text) , rank (text) , facid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "In which buildings are there at least ten professors?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : building (text) , rank (text) , facid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "For each faculty rank, show the number of faculty members who have it.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : rank (text) , facid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "How many faculty members do we have for each faculty rank?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : rank (text) , facid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "Show all the ranks and the number of male and female faculty for each rank.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : rank (text) , sex (text) , facid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "How many faculty members do we have for each rank and gender?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : rank (text) , sex (text) , facid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "Which rank has the smallest number of faculty members?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : rank (text) , facid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "Find the faculty rank that has the least members.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : rank (text) , facid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "Show the number of male and female assistant professors.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : sex (text) , rank (text) , facid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "How many male and female assistant professors do we have?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : sex (text) , rank (text) , facid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "What are the first name and last name of Linda Smith's advisor?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "student : fname (text) , lname (text) , advisor (number) | faculty : fname (text) , lname (text) , facid (number)", "shrink-score": 0.7272727272727273}
{"db_id": "activity_1", "question": "Who is the advisor of Linda Smith? Give me the first name and last name.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "student : fname (text) , lname (text) , advisor (number) | faculty : fname (text) , lname (text) , facid (number)", "shrink-score": 0.7272727272727273}
{"db_id": "activity_1", "question": "Show the ids of students whose advisors are professors.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "student : stuid (number) , advisor (number) | faculty : facid (number) , rank (text)", "shrink-score": 0.8181818181818182}
{"db_id": "activity_1", "question": "Which students have professors as their advisors? Find their student ids.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "student : stuid (number) , advisor (number) | faculty : facid (number) , rank (text)", "shrink-score": 0.8181818181818182}
{"db_id": "activity_1", "question": "Show first name and last name for all the students advised by Michael Goodrich.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "student : fname (text) , lname (text) , advisor (number) | faculty : fname (text) , lname (text) , facid (number)", "shrink-score": 0.7272727272727273}
{"db_id": "activity_1", "question": "Which students are advised by Michael Goodrich? Give me their first and last names.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "student : fname (text) , lname (text) , advisor (number) | faculty : fname (text) , lname (text) , facid (number)", "shrink-score": 0.7272727272727273}
{"db_id": "activity_1", "question": "Show the faculty id of each faculty member, along with the number of students he or she advises.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : facid (number) | student : advisor (number) , stuid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "What are the faculty id and the number of students each faculty has?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : facid (number) | student : advisor (number) , stuid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "Show all the faculty ranks and the number of students advised by each rank.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : rank (text) , facid (number) | student : advisor (number) , stuid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "activity_1", "question": "How many students are advised by each rank of faculty? List the rank and the number of students.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : rank (text) , facid (number) | student : advisor (number) , stuid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "activity_1", "question": "What are the first and last name of the faculty who has the most students?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "student : fname (text) , lname (text) , advisor (number) , stuid (number) | faculty : fname (text) , lname (text) , facid (number)", "shrink-score": 0.6818181818181818}
{"db_id": "activity_1", "question": "Give me the the first and last name of the faculty who advises the most students.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "student : fname (text) , lname (text) , advisor (number) , stuid (number) | faculty : fname (text) , lname (text) , facid (number)", "shrink-score": 0.6818181818181818}
{"db_id": "activity_1", "question": "Show the ids for all the faculty members who have at least 2 students.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : facid (number) | student : advisor (number) , stuid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "Which faculty members advise two ore more students? Give me their faculty ids.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : facid (number) | student : advisor (number) , stuid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "Show ids for the faculty members who don't advise any student.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : facid (number) | student : advisor (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "What are the ids of the faculty members who do not advise any student.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : facid (number) | student : advisor (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "What activities do we have?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "activity : activity_name (text)", "shrink-score": 0.9545454545454546}
{"db_id": "activity_1", "question": "List all the activities we have.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "activity : activity_name (text)", "shrink-score": 0.9545454545454546}
{"db_id": "activity_1", "question": "How many activities do we have?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "activity : actid (number)", "shrink-score": 0.9545454545454546}
{"db_id": "activity_1", "question": "Find the number of activities available.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "activity : actid (number)", "shrink-score": 0.9545454545454546}
{"db_id": "activity_1", "question": "How many faculty members participate in an activity?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty_participates_in : facid (number)", "shrink-score": 0.9545454545454546}
{"db_id": "activity_1", "question": "Give me the number of faculty members who participate in an activity", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty_participates_in : facid (number)", "shrink-score": 0.9545454545454546}
{"db_id": "activity_1", "question": "Show the ids of the faculty who don't participate in any activity.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty_participates_in : facid (number) | faculty : facid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "Which faculty do not participate in any activity? Find their faculty ids.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty_participates_in : facid (number) | faculty : facid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "Show the ids of all the faculty members who participate in an activity and advise a student.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty_participates_in : facid (number) | student : advisor (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "What are ids of the faculty members who not only participate in an activity but also advise a student.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty_participates_in : facid (number) | student : advisor (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "How many activities does Mark Giuliano participate in?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty_participates_in : facid (number) | faculty : facid (number) , fname (text) , lname (text)", "shrink-score": 0.8181818181818182}
{"db_id": "activity_1", "question": "Find the number of activities Mark Giuliano is involved in.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty_participates_in : facid (number) | faculty : facid (number) , fname (text) , lname (text)", "shrink-score": 0.8181818181818182}
{"db_id": "activity_1", "question": "Show the names of all the activities Mark Giuliano participates in.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "activity : activity_name (text) , actid (number) | faculty_participates_in : facid (number) , actid (number) | faculty : facid (number) , fname (text) , lname (text)", "shrink-score": 0.6818181818181818}
{"db_id": "activity_1", "question": "What are the names of the activities Mark Giuliano is involved in", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "activity : activity_name (text) , actid (number) | faculty_participates_in : facid (number) , actid (number) | faculty : facid (number) , fname (text) , lname (text)", "shrink-score": 0.6818181818181818}
{"db_id": "activity_1", "question": "Show the first and last name of all the faculty members who participated in some activity, together with the number of activities they participated in.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : fname (text) , lname (text) , facid (number) | faculty_participates_in : facid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "activity_1", "question": "What is the first and last name of the faculty members who participated in at least one activity? For each of them, also show the number of activities they participated in.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : fname (text) , lname (text) , facid (number) | faculty_participates_in : facid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "activity_1", "question": "Show all the activity names and the number of faculty involved in each activity.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "activity : activity_name (text) , actid (number) | faculty_participates_in : actid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "How many faculty members participate in each activity? Return the activity names and the number of faculty members.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "activity : activity_name (text) , actid (number) | faculty_participates_in : actid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "What is the first and last name of the faculty participating in the most activities?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : fname (text) , lname (text) , facid (number) | faculty_participates_in : facid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "activity_1", "question": "Find the first and last name of the faculty who is involved in the largest number of activities.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : fname (text) , lname (text) , facid (number) | faculty_participates_in : facid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "activity_1", "question": "What is the name of the activity that has the most faculty members involved in?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "activity : activity_name (text) , actid (number) | faculty_participates_in : actid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "Which activity has the most faculty members participating in? Find the activity name.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "activity : activity_name (text) , actid (number) | faculty_participates_in : actid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "Show the ids of the students who don't participate in any activity.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "participates_in : stuid (number) | student : stuid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "What are the ids of the students who are not involved in any activity", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "participates_in : stuid (number) | student : stuid (number)", "shrink-score": 0.9090909090909091}
{"db_id": "activity_1", "question": "Show the ids for all the students who participate in an activity and are under 20.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "participates_in : stuid (number) | student : stuid (number) , age (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "What are the ids of the students who are under 20 years old and are involved in at least one activity.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "participates_in : stuid (number) | student : stuid (number) , age (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "What is the first and last name of the student participating in the most activities?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | participates_in : stuid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "activity_1", "question": "Tell me the first and last name of the student who has the most activities.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "student : fname (text) , lname (text) , stuid (number) | participates_in : stuid (number)", "shrink-score": 0.8181818181818182}
{"db_id": "activity_1", "question": "What is the name of the activity with the most students?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "activity : activity_name (text) , actid (number) | participates_in : actid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "Find the name of the activity that has the largest number of student participants.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "activity : activity_name (text) , actid (number) | participates_in : actid (number)", "shrink-score": 0.8636363636363636}
{"db_id": "activity_1", "question": "Find the first names of the faculty members who are playing Canoeing or Kayaking.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : lname (text) , facid (number) | faculty_participates_in : facid (number) , actid (number) | activity : actid (number) , activity_name (text)", "shrink-score": 0.7272727272727273}
{"db_id": "activity_1", "question": "Which faculty members are playing either Canoeing or Kayaking? Tell me their first names.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : lname (text) , facid (number) | faculty_participates_in : facid (number) , actid (number) | activity : actid (number) , activity_name (text)", "shrink-score": 0.7272727272727273}
{"db_id": "activity_1", "question": "Find the first names of professors who are not playing Canoeing or Kayaking.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : lname (text) , rank (text) , facid (number) | faculty_participates_in : facid (number) , actid (number) | activity : actid (number) , activity_name (text)", "shrink-score": 0.6818181818181818}
{"db_id": "activity_1", "question": "What are the first names of the professors who do not play Canoeing or Kayaking as activities?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : lname (text) , rank (text) , facid (number) | faculty_participates_in : facid (number) , actid (number) | activity : actid (number) , activity_name (text)", "shrink-score": 0.6818181818181818}
{"db_id": "activity_1", "question": "Find the first names of the faculty members who participate in Canoeing and Kayaking.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : lname (text) , facid (number) | faculty_participates_in : facid (number) , actid (number) | activity : actid (number) , activity_name (text)", "shrink-score": 0.7272727272727273}
{"db_id": "activity_1", "question": "What are the first names of the faculty members playing both Canoeing and Kayaking?", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "faculty : lname (text) , facid (number) | faculty_participates_in : facid (number) , actid (number) | activity : actid (number) , activity_name (text)", "shrink-score": 0.7272727272727273}
{"db_id": "activity_1", "question": "Find the ids of the students who participate in Canoeing and Kayaking.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "participates_in : stuid (number) , actid (number) | activity : actid (number) , activity_name (text)", "shrink-score": 0.8181818181818182}
{"db_id": "activity_1", "question": "Which students participate in both Canoeing and Kayaking as their activities? Tell me their student ids.", "schema": "activity : actid (number) , activity_name (text) | participates_in : stuid (number) , actid (number) | faculty_participates_in : facid (number) , actid (number) | student : stuid (number) , lname (text) , fname (text) , age (number) , sex (text) , major (number) , advisor (number) , city_code (text) | faculty : facid (number) , lname (text) , fname (text) , rank (text) , sex (text) , phone (number) , room (text) , building (text)", "summarized-schema": "participates_in : stuid (number) , actid (number) | activity : actid (number) , activity_name (text)", "shrink-score": 0.8181818181818182}
{"db_id": "flight_4", "question": "Find the name of the airport in the city of Goroka.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , city (text)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "What are the names of the airports in the city of Goroka?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , city (text)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "Find the name, city, country, and altitude (or elevation) of the airports in the city of New York.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , city (text) , country (text) , elevation (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "What is the name, city, country, and elevation for every airport in the city of New York?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , city (text) , country (text) , elevation (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "How many airlines are there?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : alid (number)", "shrink-score": 0.9583333333333334}
{"db_id": "flight_4", "question": "What is the total number of airlines?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : alid (number)", "shrink-score": 0.9583333333333334}
{"db_id": "flight_4", "question": "How many airlines does Russia has?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : country (text) , alid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "What is the number of airlines based in Russia?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : country (text) , alid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "What is the maximum elevation of all airports in the country of Iceland?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : elevation (number) , country (text)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "What is the highest elevation of an airport in the country of Iceland?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : elevation (number) , country (text)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "Find the name of the airports located in Cuba or Argentina.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , country (text)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "What are the names of all airports in Cuba or Argentina?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , country (text)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "Find the country of the airlines whose name starts with 'Orbit'.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : country (text) , name (text)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "What are the countries of all airlines whose names start with Orbit?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : country (text) , name (text)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "Find the name of airports whose altitude is between -50 and 50.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , elevation (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "What are the names of all airports whose elevation is between -50 and 50?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , elevation (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "Which country is the airport that has the highest altitude located in?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : country (text) , elevation (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "What is the country of the airport with the highest elevation?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : country (text) , elevation (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "Find the number of airports whose name contain the word 'International'.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , apid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "How many airports' names have the word Interanation in them?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , apid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "How many different cities do have some airport in the country of Greenland?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : city (text) , country (text)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "In how many cities are there airports in the country of Greenland?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : city (text) , country (text)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "Find the number of routes operated by American Airlines.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "routes : alid (number) , rid (number) | airlines : alid (number) , name (text)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "How many routes does American Airlines operate?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "routes : alid (number) , rid (number) | airlines : alid (number) , name (text)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "Find the number of routes whose destination airports are in Canada.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : apid (number) , country (text) | routes : dst_apid (number) , rid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "How many routes end in a Canadian airport?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : apid (number) , country (text) | routes : dst_apid (number) , rid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "Find the name, city, and country of the airport that has the lowest altitude.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , city (text) , country (text) , elevation (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "What is the name, city, and country of the airport with the lowest altitude?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , city (text) , country (text) , elevation (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "Find the name, city, and country of the airport that has the highest latitude.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , city (text) , country (text) , elevation (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "What is the name, city, and country of the airport with the highest elevation?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , city (text) , country (text) , elevation (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "Find the name and city of the airport which is the destination of the most number of routes.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , city (text) , apid (number) | routes : dst_apid (number) , rid (number)", "shrink-score": 0.7916666666666666}
{"db_id": "flight_4", "question": "What is the name and city of the airport that the most routes end at?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , city (text) , apid (number) | routes : dst_apid (number) , rid (number)", "shrink-score": 0.7916666666666666}
{"db_id": "flight_4", "question": "Find the names of the top 10 airlines that operate the most number of routes.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : name (text) , alid (number) | routes : alid (number) , rid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "For the airline ids with the top 10 most routes operated, what are their names?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : name (text) , alid (number) | routes : alid (number) , rid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "Find the name and city of the airport which is the source for the most number of flight routes.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , city (text) , apid (number) | routes : src_apid (number) , rid (number)", "shrink-score": 0.7916666666666666}
{"db_id": "flight_4", "question": "What is the name and city of the airport from most of the routes start?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , city (text) , apid (number) | routes : src_apid (number) , rid (number)", "shrink-score": 0.7916666666666666}
{"db_id": "flight_4", "question": "Find the number of different airports which are the destinations of the American Airlines.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "routes : dst_apid (number) , alid (number) | airlines : alid (number) , name (text)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "What is the number of different different airports that are destinations for American Airlines?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "routes : dst_apid (number) , alid (number) | airlines : alid (number) , name (text)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "Which countries has the most number of airlines?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : country (text) , alid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "What is the name of the country with the most number of home airlines?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : country (text) , alid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "Which countries has the most number of airlines whose active status is 'Y'?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : country (text) , active (text) , alid (number)", "shrink-score": 0.875}
{"db_id": "flight_4", "question": "What are the countries with the most airlines whose active status is Y?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : country (text) , active (text) , alid (number)", "shrink-score": 0.875}
{"db_id": "flight_4", "question": "List all countries and their number of airlines in the descending order of number of airlines.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : country (text) , alid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "How many airlines operate out of each country in descending order?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : country (text) , alid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "How many airports are there per country? Order the countries by decreasing number of airports.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : country (text) , apid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "What is the number of airports per country, ordered from most to least?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : country (text) , apid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "How many airports are there per city in the United States? Order the cities by decreasing number of airports.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : city (text) , country (text) , apid (number)", "shrink-score": 0.875}
{"db_id": "flight_4", "question": "How many airports are there per city in the US ordered from most to least?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : city (text) , country (text) , apid (number)", "shrink-score": 0.875}
{"db_id": "flight_4", "question": "Return the cities with more than 3 airports in the United States.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : city (text) , country (text) , apid (number)", "shrink-score": 0.875}
{"db_id": "flight_4", "question": "What is the number of cities in the United States with more than 3 airports?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : city (text) , country (text) , apid (number)", "shrink-score": 0.875}
{"db_id": "flight_4", "question": "How many cities are there that have more than 3 airports?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : city (text) , apid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "What is the count of cities with more than 3 airports?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : city (text) , apid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "List the cities which have more than one airport and number of airports.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : city (text) , apid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "What are the names of all cities with more than one airport and how many airports do they have?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : city (text) , apid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "List the cities which have more than 2 airports sorted by the number of airports.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : city (text) , apid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "What are the cities that have more than 2 airports sorted by number of airports?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : city (text) , apid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "Find the number of routes for each source airport and the airport name.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , apid (number) | routes : src_apid (number) , rid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "For each airport name, how many routes start at that airport?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , apid (number) | routes : src_apid (number) , rid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "Find the number of routes and airport name for each source airport, order the results by decreasing number of routes.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , apid (number) | routes : src_apid (number) , rid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "For each  airport name, how many routes start at that airport, ordered from most to least?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , apid (number) | routes : src_apid (number) , rid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "Find the average elevation of all airports for each country.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : elevation (number) , country (text)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "For each country, what is the average elevation of that country's airports?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : elevation (number) , country (text)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "Find the cities which have exactly two airports.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : city (text) , apid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "What are the cities with exactly two airports?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : city (text) , apid (number)", "shrink-score": 0.9166666666666666}
{"db_id": "flight_4", "question": "For each country and airline name, how many routes are there?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : country (text) , name (text) , alid (number) | routes : alid (number) , rid (number)", "shrink-score": 0.7916666666666666}
{"db_id": "flight_4", "question": "What is the total number of routes for each country and airline in that country?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : country (text) , name (text) , alid (number) | routes : alid (number) , rid (number)", "shrink-score": 0.7916666666666666}
{"db_id": "flight_4", "question": "Find the number of routes with destination airports in Italy.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "routes : dst_apid (number) , rid (number) | airports : apid (number) , country (text)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "What is the number of routes whose destinations are Italian airports?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "routes : dst_apid (number) , rid (number) | airports : apid (number) , country (text)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "Return the number of routes with destination airport in Italy operated by the airline with name 'American Airlines'.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "routes : dst_apid (number) , alid (number) , rid (number) | airports : apid (number) , country (text) , name (text) | airlines : alid (number) , country (text) , name (text)", "shrink-score": 0.625}
{"db_id": "flight_4", "question": "What is the number of routes operated by the airline American Airlines whose destinations are in Italy?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "routes : dst_apid (number) , alid (number) , rid (number) | airports : apid (number) , country (text) , name (text) | airlines : alid (number) , country (text) , name (text)", "shrink-score": 0.625}
{"db_id": "flight_4", "question": "Find the number of routes that have destination John F Kennedy International Airport.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : apid (number) , name (text) | routes : dst_apid (number) , rid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "What is the number of routes that end at John F Kennedy International Airport?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : apid (number) , name (text) | routes : dst_apid (number) , rid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "Find the number of routes from the United States to Canada.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "routes : dst_apid (number) , src_apid (number) , rid (number) | airports : apid (number) , country (text)", "shrink-score": 0.7916666666666666}
{"db_id": "flight_4", "question": "How many routes go from the United States to Canada?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "routes : dst_apid (number) , src_apid (number) , rid (number) | airports : apid (number) , country (text)", "shrink-score": 0.7916666666666666}
{"db_id": "flight_4", "question": "Find the id of routes whose source and destination airports are in the United States.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "routes : rid (number) , dst_apid (number) , src_apid (number) | airports : apid (number) , country (text)", "shrink-score": 0.7916666666666666}
{"db_id": "flight_4", "question": "What is the id of the routes whose source and destination airports are in the United States?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "routes : rid (number) , dst_apid (number) , src_apid (number) | airports : apid (number) , country (text)", "shrink-score": 0.7916666666666666}
{"db_id": "flight_4", "question": "Find the name of airline which runs the most number of routes.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : name (text) , alid (number) | routes : alid (number) , rid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "What is the name of the airline with the most routes?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airlines : name (text) , alid (number) | routes : alid (number) , rid (number)", "shrink-score": 0.8333333333333334}
{"db_id": "flight_4", "question": "Find the busiest source airport that runs most number of routes in China.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , apid (number) , country (text) | routes : src_apid (number) , rid (number)", "shrink-score": 0.7916666666666666}
{"db_id": "flight_4", "question": "What is the name of the airport with the most number of routes that start in China?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , apid (number) , country (text) | routes : src_apid (number) , rid (number)", "shrink-score": 0.7916666666666666}
{"db_id": "flight_4", "question": "Find the busiest destination airport that runs most number of routes in China.", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , apid (number) , country (text) | routes : dst_apid (number) , rid (number)", "shrink-score": 0.7916666666666666}
{"db_id": "flight_4", "question": "What is the name of the airport that is the destination of the most number of routes that start in China?", "schema": "routes : rid (number) , dst_apid (number) , dst_ap (text) , src_apid (number) , src_ap (text) , alid (number) , airline (text) , codeshare (text) | airports : apid (number) , name (text) , city (text) , country (text) , x (number) , y (number) , elevation (number) , iata (text) , icao (text) | airlines : alid (number) , name (text) , iata (text) , icao (text) , callsign (text) , country (text) , active (text)", "summarized-schema": "airports : name (text) , apid (number) , country (text) | routes : dst_apid (number) , rid (number)", "shrink-score": 0.7916666666666666}
{"db_id": "tracking_orders", "question": "What is the id of the most recent order?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : order_id (number) , date_order_placed (time)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "Find the id of the order made most recently.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : order_id (number) , date_order_placed (time)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "what are the order id and customer id of the oldest order?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : order_id (number) , customer_id (number) , date_order_placed (time)", "shrink-score": 0.8888888888888888}
{"db_id": "tracking_orders", "question": "Find the order id and customer id associated with the oldest order.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : order_id (number) , customer_id (number) , date_order_placed (time)", "shrink-score": 0.8888888888888888}
{"db_id": "tracking_orders", "question": "Find the id of the order whose shipment tracking number is \"3452\".", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "shipments : order_id (number) , shipment_tracking_number (text)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "Which order's shipment tracking number is \"3452\"? Give me the id of the order.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "shipments : order_id (number) , shipment_tracking_number (text)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "Find the ids of all the order items whose product id is 11.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "order_items : order_item_id (number) , product_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "Find all the order items whose product id is 11. What are the order item ids?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "order_items : order_item_id (number) , product_id (number)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "List the name of all the distinct customers who have orders with status \"Packing\".", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_status (text)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "Which customers have orders with status \"Packing\"? Give me the customer names.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_status (text)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "Find the details of all the distinct customers who have orders with status \"On Road\".", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | orders : customer_id (number) , order_status (text)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "What are the distinct customers who have orders with status \"On Road\"? Give me the customer details?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_details (text) , customer_id (number) | orders : customer_id (number) , order_status (text)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "What is the name of the customer who has the most orders?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "Which customer made the most orders? Find the customer name.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "What is the customer id of the customer who has the most orders?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_id (number) | orders : customer_id (number) , order_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "tracking_orders", "question": "Find the id of the customer who made the most orders.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_id (number) | orders : customer_id (number) , order_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "tracking_orders", "question": "Give me a list of id and status of orders which belong to the customer named \"Jeramie\".", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : order_id (number) , order_status (text) , customer_id (number) | customers : customer_id (number) , customer_name (text)", "shrink-score": 0.8148148148148148}
{"db_id": "tracking_orders", "question": "Which orders are made by the customer named \"Jeramie\"? Give me the order ids and status.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : order_id (number) , order_status (text) , customer_id (number) | customers : customer_id (number) , customer_name (text)", "shrink-score": 0.8148148148148148}
{"db_id": "tracking_orders", "question": "Find the dates of orders which belong to the customer named \"Jeramie\".", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : date_order_placed (time) , customer_id (number) | customers : customer_id (number) , customer_name (text)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "What are the dates of the orders made by the customer named \"Jeramie\"?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : date_order_placed (time) , customer_id (number) | customers : customer_id (number) , customer_name (text)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "Give me the names of customers who have placed orders between 2009-01-01 and 2010-01-01.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , date_order_placed (time)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "Which customers made orders between 2009-01-01 and 2010-01-01? Find their names.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , date_order_placed (time)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "Give me a list of distinct product ids from orders placed between 1975-01-01 and 1976-01-01?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "order_items : product_id (number) , order_id (number) | orders : order_id (number) , date_order_placed (time)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "What are the distinct ids of products ordered between 1975-01-01 and 1976-01-01??", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "order_items : product_id (number) , order_id (number) | orders : order_id (number) , date_order_placed (time)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "Find the names of the customers who have order status both \"On Road\" and \"Shipped\".", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_status (text)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "Which customers have both \"On Road\" and \"Shipped\" as order status? List the customer names.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_status (text)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "Find the id of the customers who have order status both \"On Road\" and \"Shipped\".", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_id (number) | orders : customer_id (number) , order_status (text)", "shrink-score": 0.8888888888888888}
{"db_id": "tracking_orders", "question": "Which customers have both \"On Road\" and \"Shipped\" as order status? List the customer ids.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_id (number) | orders : customer_id (number) , order_status (text)", "shrink-score": 0.8888888888888888}
{"db_id": "tracking_orders", "question": "When was the order placed whose shipment tracking number is 3452? Give me the date.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : date_order_placed (time) , order_id (number) | shipments : order_id (number) , shipment_tracking_number (text)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "On which day was the order placed whose shipment tracking number is 3452?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : date_order_placed (time) , order_id (number) | shipments : order_id (number) , shipment_tracking_number (text)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "What is the placement date of the order whose invoice number is 10?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : date_order_placed (time) , order_id (number) | shipments : order_id (number) , invoice_number (number)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "On what day was the order with invoice number 10 placed?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : date_order_placed (time) , order_id (number) | shipments : order_id (number) , invoice_number (number)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "List the count and id of each product in all the orders.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "products : product_id (number) | order_items : product_id (number) , order_id (number) , order_item_id (number) | orders : order_id (number)", "shrink-score": 0.8148148148148148}
{"db_id": "tracking_orders", "question": "For each product, return its id and the number of times it was ordered.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "products : product_id (number) | order_items : product_id (number) , order_id (number) , order_item_id (number) | orders : order_id (number)", "shrink-score": 0.8148148148148148}
{"db_id": "tracking_orders", "question": "List the name and count of each product in all orders.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "products : product_name (text) , product_id (number) | orders : order_id (number) | order_items : order_id (number) , product_id (number) , order_item_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "tracking_orders", "question": "For each product, show its name and the number of times it was ordered.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "products : product_name (text) , product_id (number) | orders : order_id (number) | order_items : order_id (number) , product_id (number) , order_item_id (number)", "shrink-score": 0.7777777777777778}
{"db_id": "tracking_orders", "question": "Find the ids of orders which are shipped after 2000-01-01.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "shipments : order_id (number) , shipment_date (time)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "Which orders have shipment after 2000-01-01? Give me the order ids.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "shipments : order_id (number) , shipment_date (time)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "Find the id of the order which is shipped most recently.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "shipments : order_id (number) , shipment_date (time)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "Which order has the most recent shipment? Give me the order id.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "shipments : order_id (number) , shipment_date (time)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "List the names of all distinct products in alphabetical order.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "products : product_name (text)", "shrink-score": 0.9629629629629629}
{"db_id": "tracking_orders", "question": "Sort all the distinct products in alphabetical order.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "products : product_name (text)", "shrink-score": 0.9629629629629629}
{"db_id": "tracking_orders", "question": "List the ids of all distinct orders ordered by placed date.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : order_id (number) , date_order_placed (time)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "What are ids of the all distinct orders, sorted by placement date?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : order_id (number) , date_order_placed (time)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "What is the id of the order which has the most items?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : order_id (number) | order_items : order_id (number) , order_item_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "tracking_orders", "question": "Which order deals with the most items? Return the order id.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "orders : order_id (number) | order_items : order_id (number) , order_item_id (number)", "shrink-score": 0.8888888888888888}
{"db_id": "tracking_orders", "question": "What is the name of the customer who has the largest number of orders?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "Find the name of the customer who made the most orders.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "Find the invoice numbers which are created before 1989-09-03 or after 2007-12-25.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "invoices : invoice_number (number) , invoice_date (time)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "What are the invoice numbers created before 1989-09-03 or after 2007-12-25?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "invoices : invoice_number (number) , invoice_date (time)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "Find the distinct details of invoices which are created before 1989-09-03 or after 2007-12-25.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "invoices : invoice_details (text) , invoice_date (time)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "What are the distinct details of invoices created before 1989-09-03 or after 2007-12-25?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "invoices : invoice_details (text) , invoice_date (time)", "shrink-score": 0.9259259259259259}
{"db_id": "tracking_orders", "question": "For each customer who has at least two orders, find the customer name and number of orders made.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "Which customers have made at least two orders? Give me each customer name and number of orders made.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "Find the name of the customers who have at most two orders.", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "What are the names of the customers who have made two or less orders?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_id (number)", "shrink-score": 0.8518518518518519}
{"db_id": "tracking_orders", "question": "List the names of the customers who have once bought product \"food\".", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_id (number) | order_items : order_id (number) , product_id (number) , order_item_id (number) | products : product_id (number) , product_name (text)", "shrink-score": 0.6666666666666666}
{"db_id": "tracking_orders", "question": "What are the names of the customers who bought product \"food\" at least once?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_id (number) | order_items : order_id (number) , product_id (number) , order_item_id (number) | products : product_id (number) , product_name (text)", "shrink-score": 0.6666666666666666}
{"db_id": "tracking_orders", "question": "List the names of customers who have once canceled the purchase of the product \"food\" (the item status is \"Cancel\").", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_id (number) | order_items : order_id (number) , product_id (number) , order_item_status (text) , order_item_id (number) | products : product_id (number) , product_name (text)", "shrink-score": 0.6296296296296297}
{"db_id": "tracking_orders", "question": "Which customers have ever canceled the purchase of the product \"food\" (the item status is \"Cancel\")?", "schema": "customers : customer_id (number) , customer_name (text) , customer_details (text) | invoices : invoice_number (number) , invoice_date (time) , invoice_details (text) | orders : order_id (number) , customer_id (number) , order_status (text) , date_order_placed (time) , order_details (text) | products : product_id (number) , product_name (text) , product_details (text) | order_items : order_item_id (number) , product_id (number) , order_id (number) , order_item_status (text) , order_item_details (text) | shipments : shipment_id (number) , order_id (number) , invoice_number (number) , shipment_tracking_number (text) , shipment_date (time) , other_shipment_details (text) | shipment_items : shipment_id (number) , order_item_id (number)", "summarized-schema": "customers : customer_name (text) , customer_id (number) | orders : customer_id (number) , order_id (number) | order_items : order_id (number) , product_id (number) , order_item_status (text) , order_item_id (number) | products : product_id (number) , product_name (text)", "shrink-score": 0.6296296296296297}
{"db_id": "architecture", "question": "How many architects are female?", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "architect : gender (text) , id (text)", "shrink-score": 0.8823529411764706}
{"db_id": "architecture", "question": "List the name, nationality and id of all male architects ordered by their names lexicographically.", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "architect : name (text) , nationality (text) , id (text) , gender (text)", "shrink-score": 0.7647058823529411}
{"db_id": "architecture", "question": "What is the maximum length in meters for the bridges and what are the architects' names?", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "bridge : length_meters (number) , name (text) , architect_id (number) , id (number) | architect : name (text) , id (text)", "shrink-score": 0.6470588235294118}
{"db_id": "architecture", "question": "What is the average length in feet of the bridges?", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "bridge : length_feet (number)", "shrink-score": 0.9411764705882353}
{"db_id": "architecture", "question": "What are the names and year of construction for the mills of 'Grondzeiler' type?", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "mill : name (text) , built_year (number) , type (text)", "shrink-score": 0.8235294117647058}
{"db_id": "architecture", "question": "What are the distinct names and nationalities of the architects who have ever built a mill?", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "architect : name (text) , nationality (text) , id (text) | mill : name (text) , id (number) , architect_id (number)", "shrink-score": 0.6470588235294118}
{"db_id": "architecture", "question": "What are the names of the mills which are not located in 'Donceel'?", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "mill : name (text) , location (text)", "shrink-score": 0.8823529411764706}
{"db_id": "architecture", "question": "What are the distinct types of mills that are built by American or Canadian architects?", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "mill : type (text) , architect_id (number) , id (number) | architect : id (text) , nationality (text)", "shrink-score": 0.7058823529411765}
{"db_id": "architecture", "question": "What are the ids and names of the architects who built at least 3 bridges ?", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "architect : id (text) , name (text) | bridge : id (number) , name (text) , architect_id (number) , id (text)", "shrink-score": 0.6470588235294118}
{"db_id": "architecture", "question": "What is the id, name and nationality of the architect who built most mills?", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "architect : id (text) , name (text) , nationality (text) | mill : id (number) , name (text) , architect_id (number) , id (text)", "shrink-score": 0.5882352941176471}
{"db_id": "architecture", "question": "What are the ids, names and genders of the architects who built two bridges or one mill?", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "architect : id (text) , name (text) , gender (text) | bridge : id (number) , name (text) , architect_id (number) , id (text) | mill : id (number) , name (text) , architect_id (number) , id (text)", "shrink-score": 0.35294117647058826}
{"db_id": "architecture", "question": "What is the location of the bridge named 'Kolob Arch' or 'Rainbow Bridge'?", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "bridge : location (text) , name (text)", "shrink-score": 0.8823529411764706}
{"db_id": "architecture", "question": "Which of the mill names contains the french word 'Moulin'?", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "mill : name (text)", "shrink-score": 0.9411764705882353}
{"db_id": "architecture", "question": "What are the distinct name of the mills built by the architects who have also built a bridge longer than 80 meters?", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "architect : name (text) , id (text) | bridge : name (text) , architect_id (number) , id (number) , length_meters (number) | mill : name (text) , architect_id (number) , id (number)", "shrink-score": 0.47058823529411764}
{"db_id": "architecture", "question": "What is the most common mill type, and how many are there?", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "mill : type (text) , id (text)", "shrink-score": 0.8823529411764706}
{"db_id": "architecture", "question": "How many architects haven't built a mill before year 1850?", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "architect : id (text) | mill : id (number) , architect_id (number) , built_year (number) , id (text)", "shrink-score": 0.7058823529411765}
{"db_id": "architecture", "question": "show the name of all bridges that was designed by american archtect, and sort the result by the bridge feet length.", "schema": "architect : id (text) , name (text) , nationality (text) , gender (text) | bridge : architect_id (number) , id (number) , name (text) , location (text) , length_meters (number) , length_feet (number) | mill : architect_id (number) , id (number) , location (text) , name (text) , type (text) , built_year (number) , notes (text)", "summarized-schema": "architect : name (text) , id (text) , nationality (text) | bridge : name (text) , architect_id (number) , id (number) , length_feet (number)", "shrink-score": 0.5882352941176471}
{"db_id": "culture_company", "question": "How many book clubs are there?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : book_club_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "culture_company", "question": "Count the number of book clubs.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : book_club_id (number)", "shrink-score": 0.9473684210526315}
{"db_id": "culture_company", "question": "show the titles, and authors or editors for all books made after the year 1989.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : book_title (text) , author_or_editor (text) , year (number)", "shrink-score": 0.8421052631578947}
{"db_id": "culture_company", "question": "What are the titles and authors or editors that correspond to books made after 1989?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : book_title (text) , author_or_editor (text) , year (number)", "shrink-score": 0.8421052631578947}
{"db_id": "culture_company", "question": "Show all distinct publishers for books.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : publisher (text)", "shrink-score": 0.9473684210526315}
{"db_id": "culture_company", "question": "What are all the different book publishers?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : publisher (text)", "shrink-score": 0.9473684210526315}
{"db_id": "culture_company", "question": "Show the years, book titles, and publishers for all books, in descending order by year.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : year (number) , book_title (text) , publisher (text)", "shrink-score": 0.8421052631578947}
{"db_id": "culture_company", "question": "What are the years, titles, and publishers for all books, ordered by year descending?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : year (number) , book_title (text) , publisher (text)", "shrink-score": 0.8421052631578947}
{"db_id": "culture_company", "question": "Show all publishers and the number of books for each publisher.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : publisher (text) , book_club_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "How many books are there for each publisher?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : publisher (text) , book_club_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "What is the publisher with most number of books?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : publisher (text) , book_club_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "Return the publisher that has published the most books.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : publisher (text) , book_club_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "Show all book categories and the number of books in each category.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : category (text) , book_club_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "How many books fall into each category?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : category (text) , book_club_id (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "List categories that have at least two books after year 1989.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : category (text) , year (number) , book_club_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "culture_company", "question": "What categories have two or more corresponding books that were made after 1989?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : category (text) , year (number) , book_club_id (number)", "shrink-score": 0.8421052631578947}
{"db_id": "culture_company", "question": "Show publishers with a book published in 1989 and a book in 1990.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : publisher (text) , year (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "What are the publishers who have published a book in both 1989 and 1990?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : publisher (text) , year (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "Show all publishers which do not have a book in 1989.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : publisher (text) , year (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "Which publishers did not publish a book in 1989?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "book_club : publisher (text) , year (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "Show all movie titles, years, and directors, ordered by budget.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "movie : title (text) , year (number) , director (text) , budget_million (number)", "shrink-score": 0.7894736842105263}
{"db_id": "culture_company", "question": "What are the titles, years, and directors of all movies, ordered by budget in millions?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "movie : title (text) , year (number) , director (text) , budget_million (number)", "shrink-score": 0.7894736842105263}
{"db_id": "culture_company", "question": "How many movie directors are there?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "movie : director (text)", "shrink-score": 0.9473684210526315}
{"db_id": "culture_company", "question": "Count the number of different directors.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "movie : director (text)", "shrink-score": 0.9473684210526315}
{"db_id": "culture_company", "question": "What is the title and director for the movie with highest worldwide gross in the year 2000 or before?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "movie : title (text) , director (text) , year (number) , gross_worldwide (number)", "shrink-score": 0.7894736842105263}
{"db_id": "culture_company", "question": "Return the title and director of the movie released in the year 2000 or earlier that had the highest worldwide gross.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "movie : title (text) , director (text) , year (number) , gross_worldwide (number)", "shrink-score": 0.7894736842105263}
{"db_id": "culture_company", "question": "Show all director names who have a movie in both year 1999 and 2000.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "movie : director (text) , year (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "Which directors had a movie both in the year 1999 and 2000?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "movie : director (text) , year (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "Show all director names who have a movie in the year 1999 or 2000.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "movie : director (text) , year (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "Which directors had a movie in either 1999 or 2000?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "movie : director (text) , year (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "What is the average, maximum, and minimum budget for all movies before 2000.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "movie : budget_million (number) , year (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "Return the average, maximum, and minimum budgets in millions for movies made before the year 2000.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "movie : budget_million (number) , year (number)", "shrink-score": 0.8947368421052632}
{"db_id": "culture_company", "question": "List all company names with a book published by Alyson.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "culture_company : company_name (text) , book_club_id (text) | book_club : book_club_id (number) , publisher (text)", "shrink-score": 0.7894736842105263}
{"db_id": "culture_company", "question": "What are all the company names that have a book published by Alyson?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "culture_company : company_name (text) , book_club_id (text) | book_club : book_club_id (number) , publisher (text)", "shrink-score": 0.7894736842105263}
{"db_id": "culture_company", "question": "Show the movie titles and book titles for all companies in China.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "movie : title (text) , movie_id (number) | book_club : book_title (text) , book_club_id (number) | culture_company : movie_id (text) , book_club_id (text) , incorporated_in (text)", "shrink-score": 0.631578947368421}
{"db_id": "culture_company", "question": "What are the titles of movies and books corresponding to companies incorporated in China?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "movie : title (text) , movie_id (number) | book_club : book_title (text) , book_club_id (number) | culture_company : movie_id (text) , book_club_id (text) , incorporated_in (text)", "shrink-score": 0.631578947368421}
{"db_id": "culture_company", "question": "Show all company names with a movie directed in year 1999.", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "culture_company : company_name (text) , movie_id (text) | movie : movie_id (number) , year (number)", "shrink-score": 0.7894736842105263}
{"db_id": "culture_company", "question": "What are all company names that have a corresponding movie directed in the year 1999?", "schema": "book_club : book_club_id (number) , year (number) , author_or_editor (text) , book_title (text) , publisher (text) , category (text) , result (text) | movie : movie_id (number) , title (text) , year (number) , director (text) , budget_million (number) , gross_worldwide (number) | culture_company : company_name (text) , type (text) , incorporated_in (text) , group_equity_shareholding (number) , book_club_id (text) , movie_id (text)", "summarized-schema": "culture_company : company_name (text) , movie_id (text) | movie : movie_id (number) , year (number)", "shrink-score": 0.7894736842105263}