mlfoundations-dev/

c1_code_nod_4s_3k_eval_636d

Precomputed model outputs for evaluation.

	Evaluation Results




	
	Summary




	

Metric AIME24 AMC23 MATH500 MMLUPro JEEBench GPQADiamond LiveCodeBench CodeElo CodeForces

Accuracy 9.0 33.8 69.8 27.8 17.2 33.8 34.4 10.9 12.8

Average Accuracy: 9.00% ± 2.67% Number of Runs: 10

Run Accuracy Questions Solved Total Questions

1 10.00% 3 30

2 0.00% 0 30

3 0.00% 0 30

4 10.00% 3 30

5… See the full description on the dataset page: https://huggingface.co/datasets/mlfoundations-dev/c1_code_nod_4s_3k_eval_636d.