README.md

mlfoundations-dev/a1_code_primeintellect_real_world_swe_eval_636d

Precomputed model outputs for evaluation.

Evaluation Results

Summary

Metric	AIME24	AMC23	MATH500	MMLUPro	JEEBench	GPQADiamond	LiveCodeBench	CodeElo	CodeForces
Accuracy	12.3	52.2	72.4	24.4	36.3	38.6	15.9	7.8	8.4

AIME24

• Average Accuracy: 12.33% ± 1.42%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	23.33%	7	30
2	10.00%	3	30
3	10.00%	3	30
4	16.67%	5	30
5	13.33%	4	30
6	10.00%	3	30
7	10.00%	3	30
8	6.67%	2	30
9	10.00%	3	30
10	13.33%	4	30

AMC23

• Average Accuracy: 52.25% ± 2.22%
• Number of Runs: 10

Run	Accuracy	Questions Solved	Total Questions
1	52.50%	21	40
2	50.00%	20	40
3	52.50%	21	40
4	45.00%	18	40
5	40.00%	16	40
6	65.00%	26	40
7	55.00%	22	40
8	50.00%	20	40
9	50.00%	20	40
10	62.50%	25	40

MATH500

• Accuracy: 72.40%

  Accuracy	Questions Solved	Total Questions
  72.40%	362	500

MMLUPro

• Average Accuracy: 24.40% ± 0.00%
• Number of Runs: 1

Run	Accuracy	Questions Solved	Total Questions
1	24.40%	122	500

JEEBench

• Average Accuracy: 36.31% ± 1.42%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	33.20%	171.0	515
2	36.50%	188.0	515
3	39.22%	202.0	515

GPQADiamond

• Average Accuracy: 38.55% ± 0.14%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	38.38%	76	198
2	38.38%	76	198
3	38.89%	77	198

LiveCodeBench

• Average Accuracy: 15.92% ± 0.56%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	15.46%	79	511
2	17.03%	87	511
3	15.26%	78	511

CodeElo

• Average Accuracy: 7.84% ± 0.37%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	7.93%	31	391
2	7.16%	28	391
3	8.44%	33	391

CodeForces

• Average Accuracy: 8.39% ± 0.34%
• Number of Runs: 3

Run	Accuracy	Questions Solved	Total Questions
1	7.95%	36	453
2	8.17%	37	453
3	9.05%	41	453