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English-Tiv Translation Dataset
Cleaned English-Tiv parallel corpus for training victorachede/tiv-translator.
Current Build
- Total accepted pairs: 185,815
- Train: 182,128
- Validation: 1,832
- Test: 1,855
- Fields:
english,tiv,source
Sources
- Existing
victorachede/tiv-translator-datacurated rows michsethowusu/english-tiv_sentence-pairs_mt560, derived from OPUS MT560, licensed CC-BY-4.0
Processing
Rows are Unicode-normalized, lightly quality-filtered, deduplicated by normalized English-Tiv pair, and assigned to deterministic splits by hash. Rebuild with:
node scripts/build_enhanced_dataset.mjs
Usage
from datasets import load_dataset
ds = load_dataset("victorachede/tiv-translator-data")
Notes
The OPUS MT560 source is large and useful, but it appears heavily religious/Bible-register. For best real-world translation quality, keep adding native-speaker verified conversational, education, health, agriculture, civic, and everyday-domain pairs.
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