README.md

mlfoundations-dev/a1_code_codeforces_python_submissions_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	12.3	44.8	60.8	30.6	35.9	39.4	31.7	11.3	14.9

AIME24

• Average Accuracy: 12.33% ± 1.70%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	10.00%	3	30
2	6.67%	2	30
3	13.33%	4	30
4	20.00%	6	30
5	13.33%	4	30
6	3.33%	1	30
7	20.00%	6	30
8	16.67%	5	30
9	13.33%	4	30
10	6.67%	2	30

AMC23

• Average Accuracy: 44.75% ± 1.89%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	40.00%	16	40
2	60.00%	24	40
3	47.50%	19	40
4	40.00%	16	40
5	42.50%	17	40
6	42.50%	17	40
7	47.50%	19	40
8	37.50%	15	40
9	45.00%	18	40
10	45.00%	18	40

MATH500

• Accuracy: 60.80%

  Accuracy	Questions Solved	Total Questions
  60.80%	304	500

MMLUPro

• Average Accuracy: 30.60% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	30.60%	153	500

JEEBench

• Average Accuracy: 35.94% ± 0.31%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	36.21%	186.5	515
2	35.19%	181.25	515
3	36.41%	187.5	515

GPQADiamond

• Average Accuracy: 39.39% ± 2.18%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	38.38%	76	198
2	44.44%	88	198
3	35.35%	70	198

LiveCodeBench

• Average Accuracy: 31.70% ± 0.74%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	31.51%	161	511
2	33.07%	169	511
3	30.53%	156	511

CodeElo

• Average Accuracy: 11.34% ± 0.60%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	10.74%	42	391
2	10.74%	42	391
3	12.53%	49	391

CodeForces

• Average Accuracy: 14.86% ± 0.87%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	16.56%	75	453
2	13.69%	62	453
3	14.35%	65	453