README.md

metadata

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 Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://tahrirchi.uz/grammatika-tekshiruvi
• Repository: More Information Needed
• Paper: More Information Needed
• Point of Contact: More Information Needed
• 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 and paper (Coming soon!) for further details.

To load and use dataset, run this script:

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. 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 thankfull for these awesome organizations and people for help to make it happen:

• Ilya Gusev: for advise throughout the process
• David Dale: 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.