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Dataset Card for "quoref"

Table of Contents

Dataset Description

Dataset Summary

Quoref is a QA dataset which tests the coreferential reasoning capability of reading comprehension systems. In this span-selection benchmark containing 24K questions over 4.7K paragraphs from Wikipedia, a system must resolve hard coreferences before selecting the appropriate span(s) in the paragraphs for answering questions.

Supported Tasks

More Information Needed

Languages

More Information Needed

Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

default

  • Size of downloaded dataset files: 4.84 MB
  • Size of the generated dataset: 47.51 MB
  • Total amount of disk used: 52.36 MB

An example of 'validation' looks as follows.

This example was too long and was cropped:

{
    "answers": {
        "answer_start": [1633],
        "text": ["Frankie"]
    },
    "context": "\"Frankie Bono, a mentally disturbed hitman from Cleveland, comes back to his hometown in New York City during Christmas week to ...",
    "id": "bfc3b34d6b7e73c0bd82a009db12e9ce196b53e6",
    "question": "What is the first name of the person who has until New Year's Eve to perform a hit?",
    "title": "Blast of Silence",
    "url": "https://en.wikipedia.org/wiki/Blast_of_Silence"
}

Data Fields

The data fields are the same among all splits.

default

  • id: a string feature.
  • question: a string feature.
  • context: a string feature.
  • title: a string feature.
  • url: a string feature.
  • answers: a dictionary feature containing:
    • answer_start: a int32 feature.
    • text: a string feature.

Data Splits Sample Size

name train validation
default 19399 2418

Dataset Creation

Curation Rationale

More Information Needed

Source Data

More Information Needed

Annotations

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

Citation Information

@article{allenai:quoref,
      author    = {Pradeep Dasigi and Nelson F. Liu and Ana Marasovic and Noah A. Smith and  Matt Gardner},
      title     = {Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning},
      journal   = {arXiv:1908.05803v2 },
      year      = {2019},
}

Contributions

Thanks to @lewtun, @patrickvonplaten, @thomwolf for adding this dataset.