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fix(eval): improve rubric text normalization for judge-garbled output - #6080
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@surajksharma07 PR is up per your suggestion in #6072. Includes the NFKC normalization, smart-char mapping, and uniqueness guard on the substring fallback. 46 tests pass (44 existing + 2 new). |
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/adk-pr-analyze |
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Hi @tottenjordan , Thank you for your contribution! We appreciate you taking the time to submit this pull request. Please fix formatting errors. |
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@googlebot I signed it. |
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Replace _normalize_text's simple lower().strip() with NFKC unicode normalization, smart-quote/dash translation, and markdown artifact stripping. Add substring fallback with uniqueness guard to convert_auto_rater_response_to_score for cases where normalization alone isn't sufficient. Fixes google#6072
Address reviewer feedback on google#6072: - Guard `if not rubric and normalized_rubric_text:` prevents empty judge Property: lines from matching every rubric via substring - Guard `if ct and` prevents empty rubric keys from matching - Add logger.debug when substring fallback rescues a match to track judge drift in eval logs - Add test_empty_property_text_does_not_match test case
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This work is already done in a separate PR. |
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Summary
Fixes #6072
_normalize_textcurrently only does.lower().strip(), so judge-model garbling (markdown bullets, smart quotes, bold formatting, extra whitespace) causes exact rubric match failures. Rubric scores get silently dropped with only a warning log.Changes:
_normalize_textwith NFKC unicode normalization, smart-quote/dash translation, and markdown artifact strippingconvert_auto_rater_response_to_score— accepts a match only when exactly one rubric candidate matches, preventing ambiguous cross-matchingGarbling patterns handled:
- The response correctly uses toolsthe response correctly uses tools* **The response correctly uses tools**the response correctly uses tools"The response correctly uses tools"(smart quotes)the response correctly uses tools— The response correctly uses tools(em dash)the response correctly uses tools– The response correctly uses tools(en dash)the response correctly uses tools• The response correctly uses tools(unicode bullet)the response correctly uses toolsThe response correctly uses tools(double spaces)the response correctly uses toolsThe response… uses tools(ellipsis)the response... uses toolsréponse(accented chars)réponse(preserved)Per @surajksharma07's suggestion in #6072: uses NFKC normalization instead of ascii-ignore (preserves non-English rubrics), and adds uniqueness guard on the substring fallback.
Validation
test_rubric_based_evaluator.pygepa-run-8fb68a8f52-20260611-115752) with 4 rubric-based criteria, gemini-2.5-pro judge — zero "not found in rubrics" warnings across all generationsTest plan
pytest tests/unittests/evaluation/test_rubric_based_evaluator.py -v— all 46 passTestNormalizeTextcovers all garbling patterns from issueTestSubstringFallbackUniquenessGuardverifies unique match accepted, ambiguous match rejected