|
--- |
|
license: mit |
|
dataset_info: |
|
features: |
|
- name: id |
|
dtype: int64 |
|
- name: English |
|
dtype: string |
|
- name: Uzbek |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 450765 |
|
num_examples: 1428 |
|
download_size: 298131 |
|
dataset_size: 450765 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
task_categories: |
|
- translation |
|
- question-answering |
|
- text2text-generation |
|
language: |
|
- uz |
|
- en |
|
pretty_name: Fleurs Uzbek |
|
size_categories: |
|
- 1K<n<10K |
|
--- |
|
|
|
This is a clean copy of [google/fleurs](https://huggingface.co/datasets/google/fleurs) dataset that has translation of text data in 100s of languages with speech. |
|
|
|
The primary goal of this dataset is to use it in fine-tuning phase of an LLM so that it could better translate English to Uzbek. |
|
|
|
You should add one more column called 'system instruction' and add some command like below: |
|
|
|
"Ushbu matnni ingliz tilidan o'zbek tiliga tarjima qiling." |
|
|
|
Prompt: English text |
|
|
|
Response: Uzbek text |
