Add Gemini 2.5 support and robust answer key handling#8
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codelion wants to merge 3 commits intosnap-research:mainfrom
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Add Gemini 2.5 support and robust answer key handling#8codelion wants to merge 3 commits intosnap-research:mainfrom
codelion wants to merge 3 commits intosnap-research:mainfrom
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Updated Gemini integration to use the new google-genai SDK and support Gemini 2.5 models. Refactored answer extraction logic across evaluation, Claude, GPT, Gemini, and HF utils to handle both 'answer' and 'adversarial_answer' keys, improving robustness to missing fields. Cleaned up requirements.txt, added .gitignore, and removed compiled Python cache files.
Introduced a CATEGORY_MAPPING dictionary in evaluate_qa.py, evaluation.py, and evaluation_stats.py to map category numbers to descriptive names. Enhanced output and result dictionaries to include category names and detailed statistics, improving interpretability of QA evaluation results and reporting.
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This also fixes #6 |
Added checks to convert non-string answer values to strings in the process_output function. This prevents errors when processing outputs that may not be strings.
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Gemini-2.5-FlashOverall accuracy: 0.728 Category | Name | Count | Correct | AccuracyGemini-2.5-Flash-LiteOverall accuracy: 0.490 Category | Name | Count | Correct | AccuracyThese are the results with the Gemini 2.5 models. |
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Model： Gemini-2.5-Flash， this is my eval score
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Updated Gemini integration to use the new google-genai SDK and support Gemini 2.5 models. Refactored answer extraction logic across evaluation, Claude, GPT, Gemini, and HF utils to handle both 'answer' and 'adversarial_answer' keys, improving robustness to missing fields. Cleaned up requirements.txt, added .gitignore, and removed compiled Python cache files.
Will fix #6 #5 #3 #2