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aarajbhattarai/unjudged-apple-walnut

Nepali Source-Grounded Instruction Dataset — UNJUDGED Synthetic Nepali instruction-tuning data generated with NVIDIA NeMo Data Designer from authoritative Nepali documents (agriculture manuals, legal texts). Answers are grounded strictly in the source; unanswerable questions get an explicit refusal. Records use chat messages format plus metadata and per-record quality_scores (grounding / correctness / naturalness, 1-5, LLM-as-judge). One data/train-<shard>.jsonl per source… See the full description on the dataset page: https://huggingface.co/datasets/aarajbhattarai/unjudged-apple-walnut.

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Nepali Source-Grounded Instruction Dataset — UNJUDGED

Synthetic Nepali instruction-tuning data generated with NVIDIA NeMo Data Designer from authoritative Nepali documents (agriculture manuals, legal texts). Answers are grounded strictly in the source; unanswerable questions get an explicit refusal. Records use chat messages format plus metadata and per-record quality_scores (grounding / correctness / naturalness, 1-5, LLM-as-judge). One data/train-<shard>.jsonl per source document; shards are overwritten idempotently on re-runs.

Generated dialogues whose LLM-judge call failed (quality_scores are null). Re-judge before any use. Do NOT use as-is for instruction tuning.