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mlfoundations-dev/e1_math_all_r1_3k_eval_5554

mlfoundations-dev/e1_math_all_r1_3k_eval_5554 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces HLE HMMT AIME25 LiveCodeBenchv5 Accuracy 23.0 66.0 81.2 31.7 47.7 44.9 25.6 6.6 9.1 13.6 10.3 19.7 17.9 AIME24 Average Accuracy: 23.00% ± 1.45% Number of Runs: 10 Run Accuracy Questions Solved Total Questions… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/e1_math_all_r1_3k_eval_5554.

Author / organizationmlfoundations-dev
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Created25 May 2025
Last updated at source25 May 2025
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  • 17 Oct 2026 Description: mlfoundations-dev/e1_math_all_r1_3k_eval_5554 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces HLE HMMT AIME25 LiveCodeBenchv5 Acc → mlfoundations-dev/e1_math_all_r1_3k_eval_5554 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces HLE HMMT AIME25 LiveCodeBenchv5 Acc

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