README.md

mlfoundations-dev/a1_code_rosetta_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	15.7	58.5	74.6	28.6	42.2	44.4	29.8	5.5	8.8

AIME24

• Average Accuracy: 15.67% ± 0.82%
• Number of Runs: 10

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

AMC23

• Average Accuracy: 58.50% ± 1.18%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	57.50%	23	40
2	57.50%	23	40
3	65.00%	26	40
4	55.00%	22	40
5	65.00%	26	40
6	57.50%	23	40
7	57.50%	23	40
8	52.50%	21	40
9	60.00%	24	40
10	57.50%	23	40

MATH500

• Accuracy: 74.60%

  Accuracy	Questions Solved	Total Questions
  74.60%	373	500

MMLUPro

• Average Accuracy: 28.60% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	28.60%	143	500

JEEBench

• Average Accuracy: 42.22% ± 0.95%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	42.04%	216.5	515
2	44.32%	228.25	515
3	40.29%	207.5	515

GPQADiamond

• Average Accuracy: 44.44% ± 1.65%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	46.46%	92	198
2	46.46%	92	198
3	40.40%	80	198

LiveCodeBench

• Average Accuracy: 29.81% ± 0.94%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	31.12%	159	511
2	30.33%	155	511
3	27.98%	143	511

CodeElo

• Average Accuracy: 5.54% ± 0.23%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	5.63%	22	391
2	5.88%	23	391
3	5.12%	20	391

CodeForces

• Average Accuracy: 8.83% ± 0.38%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	8.17%	37	453
2	8.83%	40	453
3	9.49%	43	453