Hugging Face's logo

Datasets:
yasalma
/
tt-books-cyrillic

Modalities:
Text
Formats:
parquet
Languages:
Tatar
Size:
< 1K
Tags:
tt
tatar
books
monocorpus
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files Community
2
tt-books-cyrillic / README.md
gaydmi's picture
gaydmi
Update README.md
c98ac90 verified
preview code
|
raw
history blame contribute delete
2.27 kB
metadata
license: mit
language:
  - tt
tags:
  - tt
  - tatar
  - books
  - monocorpus
pretty_name: Collection of books in Tatar language in Cyrillic script

Tatar Books Collection (Cyrillic) 📚

This dataset, hosted by Yasalma, is a curated collection of 497 Tatar books in Parquet format. The texts are in Cyrillic script, making this dataset ideal for linguistic research, language modeling, and other NLP applications in the Tatar language.

Dataset Details

  • Language: Tatar (Cyrillic script)
  • Format: Two Parquet files
    • Original text
    • Markdown-formatted text
  • Columns:
    • train-00000-of-00001.parquet:
      • file_name: The original name of each book’s file
      • text: The full content of each book in raw text
    • lib-books.parquet:
      • text: The full content of each book in Markdown format
  • Important Note: The books in the two files do not overlap; they are entirely distinct collections.
  • Total Number of Books: 497
  • Total Size: 180 MB
  • License: MIT

Structure

The dataset is organized as follows:

  • train-00000-of-00001.parquet: Each row represents an individual Tatar book, with columns for the book’s filename (file_name) and its content in raw text (text).
  • lib-books.parquet: Each row represents an individual Tatar book, with single column in Markdown format(text).

All links to images have been removed from the Markdown text to ensure compatibility and simplify processing.

Potential Use Cases

  • Language Modeling: Train language models specifically for Tatar in Cyrillic script.
  • Markdown Processing: Use Markdown-formatted text for specific NLP applications, such as HTML rendering or structured content analysis.
  • Machine Translation: Use the dataset for translation tasks.
  • Linguistic Research: Study linguistic structures, grammar, and vocabulary in Tatar.

Usage

To load the dataset using Hugging Face’s datasets library:

from datasets import load_dataset

dataset = load_dataset("neurotatarlar/tt-books-cyrillic")

Contributions and Acknowledgements

This dataset is maintained by the Yasalma team. Contributions, feedback, and suggestions are welcome to improve and expand the dataset.