There are 10 examples not solved by any model.
Solving some of these can be a good signal that your model is indeed better than leading models if these are good problems.
130, 139, 140, 145, 28, 32, 4, 51, 83, 86
| example_link | model | min_pass1_of_model |
|---|
These are 10 problems with the lowest correlation with the overall evaluation (i.e. better models tend to do worse on these. )
| example_link | pass1_of_ex | tau |
|---|---|---|
| 21 | 0.014 | -0.134 |
| 154 | 0.125 | -0.034 |
| 163 | 0.001 | 0.013 |
| 22 | 0.052 | 0.073 |
| 127 | 0.121 | 0.176 |
| 132 | 0.001 | 0.234 |
| 48 | 0.310 | 0.287 |
| 55 | 0.271 | 0.302 |
| 35 | 0.787 | 0.312 |
| 54 | 0.404 | 0.325 |
Histogram of problems by the accuracy on each problem.
Histogram of problems by the minimum win rate to solve each problem.