| --- |
| 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 |
