Datasets:
Add ArithMark-3 and PIQA decontamination checks (all clean) with scripts and reports
7426416 verified | # Decontamination | |
| - `decontam_13gram.py`: 13-gram check of every question against ARC-Easy/Challenge, HellaSwag, SciQ, OpenBookQA and WinoGrande evaluation splits. Log: `report_13gram_other_benchmarks.txt`; 0 rows flagged (the flagged-rows file it writes was empty). PIQA failed to load in this pass (see the log), hence `piqa.py`. | |
| - `piqa.py`: questions + traces vs all PIQA validation and test items (the `baber/piqa` copy lm-eval uses): 13/10/8-gram overlap. Output: `piqa_report.txt` (0, 0, 0). | |
| - `check.py`: questions + traces vs all 1,000 ArithMark-3 items: exact match, 13/10/8-gram overlap, and a loose numeric check (every number of the item appears in the question and the final answer equals the item's answer). Output: `report.txt`. | |
| - `strict.py`: of the loose numeric matches, keeps pairs with the identical set of numbers and the same answer, ranked by content-word overlap. Output: `strict_report.txt`. | |
| Paths in the scripts point at the authors' machine; change them to your local copies of the data. | |