README.md

mlfoundations-dev/a1_math_allenai_math_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	15.7	50.3	73.2	26.2	31.5	36.7	7.2	2.6	5.0

AIME24

• Average Accuracy: 15.67% ± 1.06%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	13.33%	4	30
2	16.67%	5	30
3	20.00%	6	30
4	23.33%	7	30
5	13.33%	4	30
6	16.67%	5	30
7	13.33%	4	30
8	13.33%	4	30
9	13.33%	4	30
10	13.33%	4	30

AMC23

• Average Accuracy: 50.25% ± 1.30%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	52.50%	21	40
2	45.00%	18	40
3	52.50%	21	40
4	45.00%	18	40
5	57.50%	23	40
6	47.50%	19	40
7	45.00%	18	40
8	52.50%	21	40
9	52.50%	21	40
10	52.50%	21	40

MATH500

• Accuracy: 73.20%

  Accuracy	Questions Solved	Total Questions
  73.20%	366	500

MMLUPro

• Average Accuracy: 26.20% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	26.20%	131	500

JEEBench

• Average Accuracy: 31.49% ± 0.59%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	32.52%	167.5	515
2	31.84%	164.0	515
3	30.10%	155.0	515

GPQADiamond

• Average Accuracy: 36.70% ± 2.02%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	31.82%	63	198
2	39.90%	79	198
3	38.38%	76	198

LiveCodeBench

• Average Accuracy: 7.18% ± 0.73%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	6.26%	32	511
2	8.61%	44	511
3	6.65%	34	511

CodeElo

• Average Accuracy: 2.64% ± 0.34%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	2.30%	9	391
2	2.30%	9	391
3	3.32%	13	391

CodeForces

• Average Accuracy: 5.00% ± 0.07%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	4.86%	22	453
2	5.08%	23	453
3	5.08%	23	453