tahrirchi/uz-books-v2

Dataset Card for UzBooks V2

Dataset Summary

UzBooks V2 is an improved version of the UzBooks book corpus for Uzbek language. It contains nearly 40,000 books in two splits:

What's New in V2?

• —OCR Engine Upgrade: Switched from Tesseract → Google Cloud Vision OCR
• —Cleaner Text: Google OCR produces far fewer recognition errors, especially for mixed-script content
• —Same Structure & Size: Maintains compatibility with v1 — same splits, same number of examples

Usage

from datasets import load_dataset

uz_books2 = load_dataset("tahrirchi/uz-books-v2")

# Access Latin version
print(uz_books2["lat"][0]["text"])

# Access Cyrillic version
print(uz_books2["lat"][0]["text"])

Data Fields

Dataset Creation

Books were collected from various public sources and processed using Google Cloud Vision OCR, which delivers substantially better accuracy than Tesseract for Uzbek text — particularly in handling the coexistence of Latin and Cyrillic scripts. Then, lat and cyr splits were generated using curated transliteration scripts.

Citation

@online{Mamasaidov2024UzBooksV2,
    author    = {Mukhammadsaid Mamasaidov and Abror Shopulatov},
    title     = {UzBooks V2 dataset},
    year      = {2026},
    url       = {https://huggingface.co/datasets/tahrirchi/uz-books-v2}
}

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 questions or issues:

• —m.mamasaidov@tahrirchi.uz
• —a.shopolatov@tahrirchi.uz