mlfoundations-dev/openthoughts3_code_100k_eval_2e29
mlfoundations-dev/openthoughts3_code_100k_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Accuracy 30.3 73.5 81.0 39.5 52.2 43.1 53.5 21.6 23.5 23.0 11.7 37.8 AIME24 Average Accuracy: 30.33% ± 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/openthoughts3_code_100k_eval_2e29.
| Author / organization | mlfoundations-dev |
|---|---|
| Downloads | 291 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 12 May 2025 |
| Last updated at source | 9 June 2025 |
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- 17 Oct 2026 Description: mlfoundations-dev/openthoughts3_code_100k_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Ac → mlfoundations-dev/openthoughts3_code_100k_eval_2e29 Precomputed model outputs for evaluation. Evaluation Results Summary Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces AIME25 HLE LiveCodeBenchv5 Ac
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