Datasets:

failed09
/

bashkir-wikipedia-parallel

@@ -1,176 +1,174 @@
----
-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
-bawiki-20260801 + ruwiki-20260801 → interlanguage article links → sentence mapping
-    → markup sanitization → LASER3 / LaBSE / pair-scorer alignment scoring
-    → two-voice filter → filtered/data.parquet
-```
-- **Extraction:** corresponding Bashkir (`bawiki-20260801`) and Russian (`ruwiki-20260801`) articles linked through interlanguage links.
-- **Sentence mapping:** article-level mapping between Bashkir and Russian sentences.
-- **Text sanitization:** MediaWiki markup, tables, citation markers and broken punctuation stripped.
-- **Multilingual scoring:** pairs scored with LASER3 (`bak_Cyrl.v1` + `laser2`), Google LaBSE and the [Bashkir-Russian Pair Scorer](https://huggingface.co/failed09/bashkir-pair-scorer) `medium`.
-- **Filtering:** `filtered` keeps pairs that pass two-voice scoring (drop when `laser_margin_xling < 0.876` and `labse_margin_xling < 0.723`) and adds `pair_score`.
-## 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) —
-  cleaned monolingual sentences 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.

+---
+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.