Reza2kn/neyshekar-fa-wimp-teacher-labels
Persian word-importance teacher labels (neyshekar v4) Per-token word-importance soft labels for a DHH-oriented semantic-WER (ACE-style) metric. Teacher: google/gemma-4-31b-it (OpenRouter, ModelRun fp4) + 5 Persian few-shot examples. Source text: shekar-ai/neyshekar-v4-persian-asr-fa (text only, deduplicated). Utterances: 26490 ok (3 format-fails dropped). Scale: 0.0–1.0 per whitespace token (0 = filler/function word, 1 = essential content). Provenance: distilled with no human… See the full description on the dataset page: https://huggingface.co/datasets/Reza2kn/neyshekar-fa-wimp-teacher-labels.
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