stindardlogic/honest-uncertainty-sft-100k

Honest Uncertainty SFT (100K) 100,000 ShareGPT conversations demonstrating calibrated epistemic humility across 21 scenarios. Each example shows a model correctly expressing what it knows, what it doesn't know, and why -- without being uselessly vague or confidently wrong. Targets the hallucination and overconfidence failure modes that are the #1 complaint in enterprise AI deployments. Motivation LLMs have a systematic bias toward confident-sounding responses… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/honest-uncertainty-sft-100k.

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