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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-data curated 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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