README.md

---
configs:
- config_name: default
  data_files:
  - split: original
    path: data/original-*
  - split: lat
    path: data/lat-*
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: original
    num_bytes: 19244856855
    num_examples: 39712
  - name: lat
    num_bytes: 13705512346
    num_examples: 39712
  download_size: 16984559355
  dataset_size: 32950369201
annotations_creators:
- no-annotation
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
multilinguality:
- monolingual
language:
- uz
size_categories:
- 10M<n<100M
pretty_name: UzBooks
license: apache-2.0
tags:
- uz
- books
---

# Dataset Card for BookCorpus

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [https://tahrirchi.uz/grammatika-tekshiruvi](https://tahrirchi.uz/grammatika-tekshiruvi)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 16.98 GB
- **Size of the generated dataset:** 32.95 GB
- **Total amount of disk used:** 49.93 GB

### Dataset Summary

In an effort to democratize research on low-resource languages, we release UzBooks dataset, a cleaned book corpus consisting of nearly 40000 books in Uzbek Language divided into two branches: "original" and "lat," representing the OCRed (Latin and Cyrillic) and fully Latin versions of the texts, respectively. 

Please refer to our [blogpost](https://tahrirchi.uz/grammatika-tekshiruvi) and paper (Coming soon!) for further details.

To load and use dataset, run this script:

```python
from datasets import load_dataset

uz_books=load_dataset("tahrirchi/uz-books")
```

## Dataset Structure

### Data Instances

#### plain_text

- **Size of downloaded dataset files:** 16.98 GB
- **Size of the generated dataset:** 32.95 GB
- **Total amount of disk used:** 49.93 GB

An example of 'train' looks as follows.
```
{
    "text": "Hamsa\nAlisher Navoiy ..."
}
```

### Data Fields

The data fields are the same among all splits.

#### plain_text
- `text`: a `string` feature that contains text of the books.

### Data Splits

| name            |         |
|-----------------|--------:|
| original        | 39712   |
| lat             | 39712   |

## Dataset Creation

The books have been crawled from various internet sources and preprocessed using Optical Character Recognition techniques in [Tesseract OCR Engine](https://github.com/tesseract-ocr/tesseract). The latin version is created by converting the original dataset with highly curated scripts in order to put more emphasis on the research and development of the field.


## Citation

Please cite this model using the following format:

```
@online{Mamasaidov2023UzBooks,
    author    = {Mukhammadsaid Mamasaidov and Abror Shopulatov},
    title     = {UzBooks dataset},
    year      = {2023},
    url       = {https://huggingface.co./datasets/tahrirchi/uz-books},
    note      = {Accessed: 2023-10-28}, % change this date
    urldate   = {2023-10-28} % change this date
}
```

## Gratitude

We are thankful to these awesome organizations and people for helping to make it happen:

 - [Ilya Gusev](https://github.com/IlyaGusev/): for advise throughout the process  
 - [David Dale](https://daviddale.ru): for advise throughout the process

## Contacts

We believe that this work will enable and inspire all enthusiasts around the world to open the hidden beauty of low-resource languages, in particular Uzbek. 

For further development and issues about the dataset, please use [email protected] or [email protected] to contact.