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Datasets:
BorisTM
/
bak-rus-parallel

Tasks:
Translation
Modalities:
Tabular
Text
Formats:
parquet
Languages:
Russian
Bashkir
Size:
1M - 10M
Libraries:
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Polars
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metadata 
dataset_info:
  features:
    - name: bak
      dtype: string
    - name: rus
      dtype: string
    - name: static_sim
      dtype: float32
    - name: source
      dtype: string
    - name: length_bak
      dtype: int64
    - name: length_rus
      dtype: int64
  splits:
    - name: train
      num_bytes: 3839636684
      num_examples: 9768889
  download_size: 1915872020
  dataset_size: 3839636684
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - translation
language:
  - ru
  - ba
size_categories:
  - 1M<n<10M

Russian-Bashkir Parallel Corpus

A large-scale parallel corpus for Russian-Bashkir machine translation, containing 9.7M sentence pairs filtered by semantic similarity.

Dataset Details

Usage 

from datasets import load_dataset

dataset = load_dataset("BorisTM/bak-rus-parallel")

Dataset Fields

Field Type Description
rus string Russian sentence
bak string Bashkir sentence
static_sim float32 Semantic similarity score (cosine similarity, 0-1)
source string Data source: "real" or "synth"
length_rus int64 Character length of Russian sentence
length_bak int64 Character length of Bashkir sentence

Dataset Composition

The corpus combines two sources:

Real Data (source="real")

Authentic human-created translations from the following parallel corpora:

Source Description
AigizK/bashkir-russian-parallel-corpora Bashkir-Russian parallel corpus
TIL-MT Corpus Turkic Interlingua parallel corpus (ba-ru)
NLLB (OPUS) NLLB ba-ru parallel corpus from opus.nlpl.eu
Wikimedia (OPUS) Wikimedia ba-ru parallel corpus from opus.nlpl.eu

Synthetic Data (source="synth")

Generated via back-translation using the facebook/nllb-200-distilled-600M model on the following raw Bashkir text corpora:

Source Description
omarkamali/wikipedia-monthly Bashkir Wikipedia (2025-10-01 dump)
HuggingFaceFW/fineweb-2 FineWeb-2 bak_Cyrl split
cis-lmu/Glot500 Glot500 bak_Cyrl split
HPOLT 3.0 High-quality multilingual web text (bak_Cyrl)

Filtering

All sentence pairs are filtered by the following criteria:

  • Semantic similarity > 0.25 (computed using BorisTM/static_rus_bak embeddings)
  • Sentence length: <512 for both languages

Statistics

Source Count
Real ~3.0M pairs
Synthetic ~6.8M pairs
Total 9.7M pairs

License

Please refer to the original source licenses for specific data components.

Citation

If you use this dataset, please cite:

@dataset{bak_rus_parallel,
  title = {Russian-Bashkir Parallel Corpus},
  author = {BorisTM},
  year = {2025},
  url = {https://huggingface.co/datasets/BorisTM/bak-rus-parallel}
}