---
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](https://creativecommons.org/licenses/by-sa/4.0/).

Please preserve Wikipedia attribution when redistributing or publishing
derivative datasets.

## Loading

```python
from datasets import load_dataset

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

## Citation

```bibtex
@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}
}
```