Hwilner/false-premise-compliance-eval

False-Premise Compliance (FPC): A Blind Spot in Small Instruction-Tuned LLMs Repo contents: evaluation dataset (60 items), all model responses, manual labels, per-item rationales, statistics, and the evaluation code. Model evaluated: Qwen/Qwen3-1.7B (1.7B params, open weights, Apache-2.0) Dataset: fpc_dataset.json — 30 false-premise questions + 30 topic-matched clean controls Results: labeled_results.json — full responses + per-item labels Eval code: eval_fpc.py… See the full description on the dataset page: https://huggingface.co/datasets/Hwilner/false-premise-compliance-eval.

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