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od2961/ModeBench

ModeBench ModeBench measures both correctness and the variety of correct answers produced by language models. Each problem has an executable verifier and a canonical definition of answer identity, so distinct wording alone does not count as a new solution. This release contains three frozen benchmark levels across Graph Coloring, Countdown, Python Factors, MathIR, and PantryPlan. It preserves every original feature, row, and row order. The answer field is a serialized executable… See the full description on the dataset page: https://huggingface.co/datasets/od2961/ModeBench.

Author / organizationod2961
Downloads162 (as reported by Hugging Face)
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Created11 September 2026
Last updated at source16 September 2026
reasoningreinforcement-learningverifiable-rewardsmodebench
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