datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
a1_code_coder_stat_eval_636d
mlfoundations-dev/a1_code_coder_stat_eval_636d
Precomputed model outputs for evaluation.
Evaluation Results
Summary
Metric
AIME24
AMC23
MATH500
MMLUPro
JEEBench
GPQADiamond
LiveCodeBench
CodeElo
CodeForces
Accuracy
14.3
59.2
75.6
32.0
40.1
42.3
21.5
10.5
10.2
AIME24
Average Accuracy: 14.33% ± 1.25%
Number of Runs: 10
Run
Accuracy
Questions Solved
Total Questions
1
10.00%
3
30
2
16.67%
5
30
3
20.00%
6
30
4
16.67%
5… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/a1_code_coder_stat_eval_636d.a1_code_coder_statcoder_stat