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nvidia/AceMath-RewardBench

website | paper AceMath-RewardBench Evaluation Dataset Card The AceMath-RewardBench evaluation dataset evaluates capabilities of a math reward model using the best-of-N (N=8) setting for 7 datasets: GSM8K: 1319 questions Math500: 500 questions Minerva Math: 272 questions Gaokao 2023 en: 385 questions OlympiadBench: 675 questions College Math: 2818 questions MMLU STEM: 3018 questions Each example in the dataset contains: A mathematical question 64 solution attempts with varying… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/AceMath-RewardBench.

Author / organizationnvidia
License (as declared)cc-by-nc-4.0
Downloads804 (as reported by Hugging Face)
Likes8
Created14 January 2025
Last updated at source17 January 2025
nvidiaAceMathmathpytorch
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