---
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