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Summary of Changes
Hello @zhewang2001, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request introduces the full implementation of the evaluate_phtest function within the eval/phtest.py file. This function is designed to evaluate model generations against the "purpcode/PHTest" dataset, specifically measuring and reporting rejection rates for both "harmless" and "controversial" answers.
Highlights
- PHTest Evaluation Implementation: I've implemented the
evaluate_phtestfunction to assess model performance on the "purpcode/PHTest" dataset. - Dataset Loading: The function now loads the "purpcode/PHTest" dataset to retrieve task IDs and their associated harmfulness labels.
- Rejection Rate Calculation: I've added logic to calculate and display the rejection rates for "harmless" and "controversial" answers, as well as an overall total rejection rate, using results from
evaluate_secqa_answersandis_bad_answer.
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Code Review
This pull request implements the evaluation logic for PHTest. The code correctly loads the dataset and calculates rejection rates for harmless and controversial prompts. However, there are a few areas for improvement. I've identified a critical issue that could cause a crash due to division by zero, and I've also included some suggestions to improve code robustness and maintainability.
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Pull Request Overview
This PR implements the PHTest evaluation functionality by replacing a placeholder function with a complete implementation that evaluates model responses for harmful content using the PHTest dataset.
- Implements the
evaluate_phtestfunction to assess harmfulness rejection rates - Adds dataset loading and processing logic for PHTest harmfulness categorization
- Integrates with existing security evaluation infrastructure through
evaluate_secqa_answers
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