Datasets:

failed09
/

bashkir-wikipedia-monolingual

license: cc-by-sa-4.0
language:
  - ba
pretty_name: Bashkir Wikipedia Monolingual Corpus
task_categories:
  - text-generation
  - fill-mask
configs:
  - config_name: cleaned
    data_files:
      - split: train
        path: cleaned/data.parquet
  - config_name: precleaned
    data_files:
      - split: train
        path: precleaned/data.parquet
tags:
  - bashkir
  - wikipedia
  - cyrillic
  - low-resource
  - sentence-level
  - text-corpus

Bashkir Wikipedia Monolingual Corpus

Sentence-level Bashkir text extracted from the Bashkir Wikipedia dump bawiki-20260801.

This repository provides two configurations. The default cleaned configuration is recommended for language-model and tokenizer training. The precleaned configuration is an earlier, less filtered sentence extraction provided for alternative preprocessing and research.

Configurations

cleaned

839,629 unique sentences
62,205 represented articles
URLs, MediaWiki markup and service fragments removed
Unicode and punctuation normalized
duplicate sentences removed globally
incomplete sentences and unbalanced brackets filtered

Fields:

title: Bashkir Wikipedia article title
text: cleaned Bashkir sentence
char_len: sentence length in characters

precleaned

1,198,784 sentence rows
earlier sentence-level extraction with lighter filtering
provided for alternative preprocessing and comparison

Fields:

title: Bashkir Wikipedia article title
text: extracted sentence text

This is not the original MediaWiki XML or wikitext dump.

Source and Processing

The data was extracted from the official Bashkir Wikipedia dump dated 2026-08-01. The original XML dump is not included in this repository.

License

The source text is derived from Wikipedia and is distributed under the Creative Commons Attribution-ShareAlike 4.0 International license.

Please preserve Wikipedia attribution when redistributing or publishing derivative datasets.

Loading

from datasets import load_dataset

cleaned = load_dataset("failed09/bashkir-wikipedia-monolingual", "cleaned")
precleaned = load_dataset("failed09/bashkir-wikipedia-monolingual", "precleaned")

Citation

@dataset{failed09_bashkir_wikipedia_monolingual_2026,
  title = {Bashkir Wikipedia Monolingual Corpus},
  author = {failed09},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/failed09/bashkir-wikipedia-monolingual}
}