---
license: cc-by-sa-4.0
language:
- ba
- ru
pretty_name: Bashkir-Russian Wikipedia Parallel Corpus
task_categories:
- translation
configs:
- config_name: filtered
  default: true
  data_files:
  - split: train
    path: filtered/data.parquet
- config_name: cleaned
  data_files:
  - split: train
    path: cleaned/data.parquet
- config_name: scored
  data_files:
  - split: train
    path: scored/data.parquet
- config_name: precleaned
  data_files:
  - split: train
    path: precleaned/data.parquet
tags:
- bashkir
- russian
- wikipedia
- cyrillic
- low-resource
- parallel-corpus
- sentence-level
- bitext-mining
---

# Bashkir-Russian Wikipedia Parallel Corpus

> Sentence-level Bashkir-Russian parallel text from Wikipedia, scored and filtered
> for machine translation.

## Overview

Sentence-level Bashkir-Russian parallel dataset extracted from the corresponding
Bashkir and Russian Wikipedia dumps dated `2026-08-01`. Candidate pairs are scored
for semantic alignment with multilingual sentence encoders (Meta LASER3, Google
LaBSE) and the in-domain Bashkir-Russian Pair Scorer. The `filtered` configuration
is the high-precision subset recommended for machine translation; `cleaned`,
`scored` and `precleaned` are provided for custom filtering experiments.

| At a glance | |
| --- | --- |
| Task | Parallel corpus / machine translation |
| Default config | `filtered` |
| Fields | `ba_title`, `ru_title`, `section`, `ba`, `ru`, sentence indices and alignment scores |
| Source | Bashkir and Russian Wikipedia dumps `2026-08-01` |
| License | CC BY-SA 4.0 |

## Contents

### Files and Configurations

| Config | Pairs | Articles | Description |
| --- | ---: | ---: | --- |
| **`filtered`** (recommended) | 66,498 | 31,574 | High-precision subset by two-voice scoring (LASER3 + LaBSE), annotated with `pair_score` |
| `cleaned` | 68,737 | 33,582 | Base alignment with article-level sentence mapping, Wiki markup and service boilerplate removed |
| `scored` | 68,737 | 33,582 | Identical rows to `cleaned`, retaining LASER margin scores and `pair_score` |
| `precleaned` | 84,512 | 40,705 | Broad extraction with relaxed sentence-length heuristics, for custom filtering |

Counts, filter rules and score distributions are the source of truth in
[`META.json`](META.json).

### Fields and Schema

- `ba_title`, `ru_title`: article titles in the two Wikipedias.
- `section`: section category (`lead` or `facts`).
- `ba`, `ru`: aligned sentence pair.
- `ba_sentence_index`, `ru_sentence_index`: sentence positions in the source articles.
- `laser_cos`, `laser_margin`, `laser_margin_xling`: LASER3 cosine and margin scores (Artetxe & Schwenk, 2018).
- `labse_cos`, `labse_margin_xling`: LaBSE cosine and cross-lingual margin (present only in `filtered`).
- `pair_score`: semantic compatibility from the [Bashkir-Russian Pair Scorer](https://huggingface.co/failed09/bashkir-pair-scorer) `medium` model, 0.0–1.0.

### Examples

| Bashkir (ba) | Russian (ru) | `pair_score` |
| --- | --- | ---: |
| Тарих — белем өлкәһе, кешелектең үткән замандағы эшмәкәрлеген, торошон, донъяға ҡарашын, ойошоуын һәм социаль бәйләнештәрен өйрәнә торған гуманитар фән. | История — общий термин, описывающий как события прошлого, так и память о прошлом, нахождение, сбор и интерпретацию сведений об этих событиях. | 0.999 |
| Республика (Йөмһүриәт) … — юғары власть органдары билдәле мөҙҙәткә һайланып ҡуйыла торған дәүләт төҙөлөшө. | Республика (от — «общественное дело») — форма государственного правления, при которой высшая власть принадлежит представительным органам, избираемым населением на определённый срок. | 0.589 |
| 1919 йылдың 20 мартында … Башҡорт Совет Республикаһын иғлан ителә. | 20 марта 1919 года … была образована Башкирская Советская Республика (Малая Башкирия) с временной столицей в с. | 0.511 |

## Method

```text
upstream Wikimedia dumps (bawiki-20260801 & ruwiki-20260801)
  ├── 1. map articles via interlanguage Wikidata links (40,705 paired articles)
  ├── 2. extract candidate sentence pairs within matched articles (84,512 candidate pairs)
  ├── 3. strip MediaWiki markup, templates, tables & citation markers (15,775 dropped)
  ├── 4. cross-lingual alignment scoring: LASER3, Google LaBSE & pair-scorer medium
  ├── 5. two-voice consensus filter: reject if laser_margin < 0.876 AND labse_margin < 0.723 (2,239 dropped)
  └── 6. export zstd Parquet: filtered (66,498 pairs) & cleaned (68,737 pairs)
```

## Quality and Use

Alignment quality is estimated automatically and is not human-verified. At this
scale, encyclopedic texts cover global geography, history and sciences, so some
sentence pairs may be loosely aligned or contain borrowed vocabulary, foreign
names or segmentation artifacts. Review samples before using the dataset in
production or as an evaluation benchmark.

### Limitations

- Alignment scores are model estimates, not human judgments; thresholds were calibrated on this corpus.
- `pair_score` values are not calibrated human probabilities.
- `train` is a distribution convention; no leakage-free evaluation split is provided.
- `precleaned` and `cleaned` are intentionally looser than `filtered`.

## Related Resources

- [Bashkir Wikipedia Monolingual Corpus](https://huggingface.co/datasets/failed09/bashkir-wikipedia-monolingual) —
  sentence-level monolingual Bashkir text from the same dump, for pretraining and language modelling.
- [Bashkir-Russian Pair Scorer](https://huggingface.co/failed09/bashkir-pair-scorer) —
  standalone compatibility model used to produce the `pair_score` column.

## Usage

```bash
pip install datasets
```

```python
from datasets import load_dataset

# Recommended subset for machine translation training
filtered = load_dataset("failed09/bashkir-wikipedia-parallel", "filtered")

# Custom filtering combining pair_score and LASER margin
df = filtered["train"].to_pandas()
strict_subset = df[(df.pair_score >= 0.80) & (df.laser_margin_xling >= 0.95)]
print(f"Strict high-quality subset: {len(strict_subset):,} sentence pairs")
```

## License

Distributed under the [CC BY-SA 4.0 license](https://creativecommons.org/licenses/by-sa/4.0/).
The release contains text extracted from Wikipedia; upstream source licenses and
attribution requirements apply. Preserve Wikipedia and Wikimedia attribution when
redistributing or publishing derivative datasets.

## Citation

```bibtex
@dataset{failed09_bashkir_russian_wikipedia_parallel_2026,
  title = {Bashkir-Russian Wikipedia Parallel Corpus},
  author = {failed09},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/failed09/bashkir-wikipedia-parallel},
  note = {Cleaned sentence-level Bashkir-Russian Wikipedia parallel corpus}
}
```

## Open Bashkir Data and Sources 🐝

This release is part of an open-source effort to support the development,
preservation and practical use of the Bashkir language. Other related models,
datasets and tools are available on the author's Hugging Face profile.

The author does not claim ownership or authorship of the source texts or other
materials used to derive this release; rights and licensing remain with the
original authors, publishers and dataset providers. Source texts are not
redistributed in this repository, so users should follow the licenses and
attribution requirements of the relevant upstream resources.