[Feature] Support DROP exact-match and F1 metrics - #2616
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Motivation
The OpenAI-derived DROP evaluator currently reports only fuzzy substring accuracy. For example, it treats
Denveras fully correct forDenver Broncos, although the standard DROP exact-match score is 0 and F1 is 66.67.Adding the official metrics makes OpenCompass results comparable with other published DROP evaluations while retaining the existing accuracy output.
Closes #948.
Modification
accuracyresult and addexact_matchandf1aggregates and per-example detailsThe simple-evals DROP data stores each pipe-delimited reference as an alternative single-span answer, so this implements the equivalent single-span path of the official metric without adding a SciPy dependency for multi-span alignment.
BC-breaking (Optional)
No. The existing
accuracykey andcorrectdetail field are unchanged; the new metrics are additive.Use cases (Optional)
Users can report standard DROP EM/F1 directly from the existing
drop_openai_simple_evalsconfiguration and compare OpenCompass runs with published model results.Checklist
Before PR:
After PR: