MC7ever/OHB-20k

OHB-20k — Open Human Benchmark An open-source, community-driven benchmark measuring broad human-facing competence in language models: not just exam trivia, but the practical, social, civic, and technical reasoning people actually rely on — plus specialist tracks for long-context recall, hallucination detection, and grounded table QA. 20,000 questions / 35,000 points / 21 sections (text core) 9 nested size splits (500 → 20,000) so small and large models alike get a fair, cheap… See the full description on the dataset page: https://huggingface.co/datasets/MC7ever/OHB-20k.

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