Datasets:
Add ArithMark-3 and PIQA decontamination checks (all clean) with scripts and reports
7426416 verified |
Download decontamination/README.md from slmconsortium/OpenThink: direct link, hf CLI and curl.
- Browser
- Download file 1.02 kB
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https://huggingface.co/datasets/slmconsortium/OpenThink/resolve/main/decontamination/README.md
- Command line
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hf download hf://datasets/slmconsortium/OpenThink/decontamination/README.md
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curl -L -o README.md https://huggingface.co/datasets/slmconsortium/OpenThink/resolve/main/decontamination/README.md
1.02 kB
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), hencepiqa.py.piqa.py: questions + traces vs all PIQA validation and test items (thebaber/piqacopy 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.