The Bashkir Web Corpus is a collection of 71,567 documents and approximately 46.9 million tokens in the Bashkir language (a Turkic language spoken in Bashkortostan, Russia). The corpus was compiled from 16 Bashkir‑language online sources, including news websites, literary magazines, social media, books, and Wikipedia. It is designed for language modeling, text classification, and other NLP tasks for this low‑resource language.

Curated by: BashkirNLPWorld
Language(s) (NLP): Bashkir (ba), Cyrillic script
License: other – see Licensing & Legal Notice below.

Licensing & Legal Notice

This dataset follows the practice established by large web‑crawled corpora such as HPLT and OSCAR:

Original source texts (web pages, articles, posts, books) remain the property of their respective authors and publishers. They are not owned by the BashkirNLPWorld team and are not covered by the CC BY‑SA 4.0 license.
The structured compilation, metadata, and any original annotations created by BashkirNLPWorld are released under the CC BY‑SA 4.0 license.
Users are solely responsible for ensuring their use of the underlying texts complies with applicable copyright law. For commercial use of verbatim excerpts, permission from the original copyright holders may be required.
A notice‑and‑takedown procedure is in place: rights holders can request removal of specific content by contacting the dataset maintainers (see Dataset Card Contact). We commit to responding within 14 business days and removing disputed content in the next release.

Dataset Sources

Repository: https://huggingface.co/datasets/BashkirNLPWorld/bashkir-web-corpus

Uses

Direct Use

The dataset is intended for:

Training language models (BERT, GPT) for Bashkir, especially for low‑resource scenarios
Text classification (topic, genre, sentiment)
Token classification (named entity recognition, part‑of‑speech tagging)
Fill‑mask and other pre‑training tasks
Linguistic analysis of contemporary Bashkir
Building applications for the Bashkir‑speaking community

Out-of-Scope Use

Redistribution of verbatim documents without permission from original copyright holders.
Any use that violates the rights of content creators whose texts are included.
Creation of misleading or harmful content based on the corpus.
Use as a source for factual or real‑time information – the corpus is a static snapshot and may contain errors or outdated content.

Dataset Structure

Data Fields

Field	Type	Description
`title`	string	Document title (available for 99.4% of documents)
`content`	string	Main text content
`category`	string	Topic category (available for 97.8% of documents)
`source`	string	Original source identifier
`text`	string	Combined field: `title + "\n\n" + content` (ready for modeling)

Data Splits

Split	Size	Description
`full`	71,567	Complete corpus
`sample`	1,000	Random subset for testing and development

Source Distribution

Source	Documents	Percentage
bawiki_cyrillic	42,262	59.0%
azatliqorg	7,541	10.5%
yanshishma_articles	2,139	3.0%
shonkar_articles	1,919	2.7%
bashkizi_articles	1,881	2.6%
uchbash_articles	1,881	2.6%
tanburz_articles	1,871	2.6%
henek_articles	1,855	2.6%
amanat_articles	1,801	2.5%
tamasha_articles	1,746	2.4%
ye102.ru_articles	1,717	2.4%
bawikibooks_cyrillic	1,664	2.3%
bashgazet_articles	1,475	2.1%
agideljurn_articles	970	1.4%
bashkir_filtered_books	471	0.7%
akbuzat_all	223	0.3%
posts_with_comments_merged	151	0.2%

Dataset Creation

Curation Rationale

Bashkir is a low‑resource Turkic language with limited digital corpora for NLP. This corpus was assembled to provide a substantial, clean text collection to enable language technology development and linguistic research for the Bashkir‑speaking community.

Source Data

Data Collection and Processing

The corpus was collected from 16 publicly available Bashkir‑language sources. The processing pipeline included:

Web crawling of news portals, literary magazines, social media, books, and Wikipedia.
HTML extraction and cleaning to plain text.
Language filtering to retain only Bashkir Cyrillic texts.
Deduplication and normalization.
Creation of the combined text field.

Who are the source data producers?

The original texts were produced by journalists, writers, bloggers, Wikipedia contributors, and other content creators. The compilation and structuring were performed by BashkirNLPWorld, but the intellectual content remains with the original authors and publishers.

Annotations

No additional manual annotations were added. The category field was derived from the source metadata where available.

Personal and Sensitive Information

The corpus consists of publicly available web content. No intentional collection of personal or sensitive data was performed. Users should be aware that social media posts may contain personal information that was publicly shared.

Bias, Risks, and Limitations

Source imbalance: Wikipedia (bawiki_cyrillic) dominates with 59% of documents, potentially biasing the corpus towards encyclopedic style.
Domain bias: News and literary sources are unevenly represented; some categories may be over‑ or underrepresented.
Temporal coverage: The corpus reflects content available up to the collection date; no publication dates are included.
Web noise: Some formatting artifacts and spam may remain despite cleaning.
Copyright constraints: The underlying texts may be protected; users must respect original rights (see Licensing & Legal Notice).

Recommendations

When training models, consider balancing the source distribution to reduce bias.
Use the source field for filtering or stratification.
For commercial applications, verify the copyright status of specific documents.
Report any issues (e.g., low‑quality texts) via the Hugging Face repository.

Citation

BibTeX (dataset):

@dataset{bashkirnlpworld2026webcorpus,
  title = {Bashkir Web Corpus},
  author = {BashkirNLPWorld},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/BashkirNLPWorld/bashkir-web-corpus}
}

APA (dataset): BashkirNLPWorld. (2026). Bashkir Web Corpus [Data set]. Hugging Face. https://huggingface.co/datasets/BashkirNLPWorld/bashkir-web-corpus

Glossary

Token – a unit of text (word or subword) used in NLP models.
Low‑resource language – a language with limited digital resources and tools.
Corpus – a large collection of texts used for linguistic analysis.

More Information

For questions, contributions, or feedback, please open an issue on the Hugging Face repository.

Dataset Card Authors

BashkirNLPWorld (community)

Dataset Card Contact

For questions, takedown requests, or collaboration, please open an issue on the Hugging Face repository:
https://huggingface.co/datasets/BashkirNLPWorld/bashkir-web-corpus/discussions
📧 Direct email: bashkirnlpworld@gmail.com

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