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 |