| ---
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| license: cc-by-sa-4.0
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| language:
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| - ba
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| - ru
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| pretty_name: Bashkir-Russian Wikipedia Parallel Corpus
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| task_categories:
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| - translation
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| configs:
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| - config_name: filtered
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| default: true
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| data_files:
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| - split: train
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| path: filtered/data.parquet
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| - config_name: cleaned
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| data_files:
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| - split: train
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| path: cleaned/data.parquet
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| - config_name: scored
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| data_files:
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| - split: train
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| path: scored/data.parquet
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| - config_name: precleaned
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| data_files:
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| - split: train
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| path: precleaned/data.parquet
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| tags:
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| - bashkir
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| - russian
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| - wikipedia
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| - cyrillic
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| - low-resource
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| - parallel-corpus
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| - sentence-level
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| - bitext-mining
|
| ---
|
|
|
| # Bashkir-Russian Wikipedia Parallel Corpus
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|
|
| > Sentence-level Bashkir-Russian parallel text from Wikipedia, scored and filtered
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| > for machine translation.
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|
|
| ## Overview
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|
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| Sentence-level Bashkir-Russian parallel dataset extracted from the corresponding
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| Bashkir and Russian Wikipedia dumps dated `2026-08-01`. Candidate pairs are scored
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| for semantic alignment with multilingual sentence encoders (Meta LASER3, Google
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| LaBSE) and the in-domain Bashkir-Russian Pair Scorer. The `filtered` configuration
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| is the high-precision subset recommended for machine translation; `cleaned`,
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| `scored` and `precleaned` are provided for custom filtering experiments.
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|
|
| | At a glance | |
|
| | --- | --- |
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| | Task | Parallel corpus / machine translation |
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| | Default config | `filtered` |
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| | Fields | `ba_title`, `ru_title`, `section`, `ba`, `ru`, sentence indices and alignment scores |
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| | Source | Bashkir and Russian Wikipedia dumps `2026-08-01` |
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| | License | CC BY-SA 4.0 |
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|
|
| ## Contents
|
|
|
| ### Files and Configurations
|
|
|
| | Config | Pairs | Articles | Description |
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| | --- | ---: | ---: | --- |
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| | **`filtered`** (recommended) | 66,498 | 31,574 | High-precision subset by two-voice scoring (LASER3 + LaBSE), annotated with `pair_score` |
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| | `cleaned` | 68,737 | 33,582 | Base alignment with article-level sentence mapping, Wiki markup and service boilerplate removed |
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| | `scored` | 68,737 | 33,582 | Identical rows to `cleaned`, retaining LASER margin scores and `pair_score` |
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| | `precleaned` | 84,512 | 40,705 | Broad extraction with relaxed sentence-length heuristics, for custom filtering |
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|
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| Counts, filter rules and score distributions are the source of truth in
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| [`META.json`](META.json).
|
|
|
| ### Fields and Schema
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|
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| - `ba_title`, `ru_title`: article titles in the two Wikipedias.
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| - `section`: section category (`lead` or `facts`).
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| - `ba`, `ru`: aligned sentence pair.
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| - `ba_sentence_index`, `ru_sentence_index`: sentence positions in the source articles.
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| - `laser_cos`, `laser_margin`, `laser_margin_xling`: LASER3 cosine and margin scores (Artetxe & Schwenk, 2018).
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| - `labse_cos`, `labse_margin_xling`: LaBSE cosine and cross-lingual margin (present only in `filtered`).
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| - `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` |
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| | --- | --- | ---: |
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| | 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
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| upstream Wikimedia dumps (bawiki-20260801 & ruwiki-20260801)
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| ├── 1. map articles via interlanguage Wikidata links (40,705 paired articles)
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| ├── 2. extract candidate sentence pairs within matched articles (84,512 candidate pairs)
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| ├── 3. strip MediaWiki markup, templates, tables & citation markers (15,775 dropped)
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| ├── 4. cross-lingual alignment scoring: LASER3, Google LaBSE & pair-scorer medium
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| ├── 5. two-voice consensus filter: reject if laser_margin < 0.876 AND labse_margin < 0.723 (2,239 dropped)
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| └── 6. export zstd Parquet: filtered (66,498 pairs) & cleaned (68,737 pairs)
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| ```
|
|
|
| ## Quality and Use
|
|
|
| Alignment quality is estimated automatically and is not human-verified. At this
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| scale, encyclopedic texts cover global geography, history and sciences, so some
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| sentence pairs may be loosely aligned or contain borrowed vocabulary, foreign
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| names or segmentation artifacts. Review samples before using the dataset in
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| production or as an evaluation benchmark.
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|
|
| ### Limitations
|
|
|
| - Alignment scores are model estimates, not human judgments; thresholds were calibrated on this corpus.
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| - `pair_score` values are not calibrated human probabilities.
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| - `train` is a distribution convention; no leakage-free evaluation split is provided.
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| - `precleaned` and `cleaned` are intentionally looser than `filtered`.
|
|
|
| ## Related Resources
|
|
|
| - [Bashkir Wikipedia Monolingual Corpus](https://huggingface.co/datasets/failed09/bashkir-wikipedia-monolingual) —
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| sentence-level monolingual Bashkir text from the same dump, for pretraining and language modelling.
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| - [Bashkir-Russian Pair Scorer](https://huggingface.co/failed09/bashkir-pair-scorer) —
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| standalone compatibility model used to produce the `pair_score` column.
|
|
|
| ## Usage
|
|
|
| ```bash
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| pip install datasets
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| ```
|
|
|
| ```python
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| from datasets import load_dataset
|
|
|
| # Recommended subset for machine translation training
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| filtered = load_dataset("failed09/bashkir-wikipedia-parallel", "filtered")
|
|
|
| # Custom filtering combining pair_score and LASER margin
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| df = filtered["train"].to_pandas()
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| strict_subset = df[(df.pair_score >= 0.80) & (df.laser_margin_xling >= 0.95)]
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| print(f"Strict high-quality subset: {len(strict_subset):,} sentence pairs")
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| ```
|
|
|
| ## 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
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| attribution requirements apply. Preserve Wikipedia and Wikimedia attribution when
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| redistributing or publishing derivative datasets.
|
|
|
| ## Citation
|
|
|
| ```bibtex
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| @dataset{failed09_bashkir_russian_wikipedia_parallel_2026,
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| title = {Bashkir-Russian Wikipedia Parallel Corpus},
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| author = {failed09},
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| year = {2026},
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| publisher = {Hugging Face},
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| url = {https://huggingface.co/datasets/failed09/bashkir-wikipedia-parallel},
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| note = {Cleaned sentence-level Bashkir-Russian Wikipedia parallel corpus}
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| }
|
| ```
|
|
|
| ## 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.
|
|
|
