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yuma-hirakawa

PROFILE

Yuma-hirakawa

Worked on the sbintuitions/flexeval repository to enhance evaluation metrics for multiple-choice question tasks. Developed and integrated F1-based evaluation metrics, including both macro and micro F1 scores, with clarified metric naming and robust unit tests to ensure accuracy and maintainability. Refactored the evaluate_multiple_choice function for improved clarity, corrected variable usage, and updated output fields. Improved logging formatting and expanded test coverage to verify the presence of expected metric keys. Updated dependencies, notably scikit-learn to version 1.6.1, to maintain compatibility. Leveraged Python, data science techniques, and testing best practices to deliver maintainable, well-documented, and reliable feature enhancements.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

9Total
Bugs
0
Commits
9
Features
2
Lines of code
579
Activity Months1

Work History

June 2025

9 Commits • 2 Features

Jun 1, 2025

June 2025 performance summary for sbintuitions/flexeval highlighting feature delivery, bug fixes, and impact. Implemented F1-based evaluation metrics for MCQ evaluation, refactored code for clarity, improved logging, added tests to verify metric keys, and updated dependencies for compatibility.

Activity

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Quality Metrics

Correctness97.8%
Maintainability100.0%
Architecture97.8%
Performance97.8%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Code FormattingCode RefactoringData ScienceDebuggingDependency ManagementEvaluation MetricsLoggingMachine LearningPython PackagingTestingUnit Testing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

sbintuitions/flexeval

Jun 2025 Jun 2025
1 Month active

Languages Used

Python

Technical Skills

Code FormattingCode RefactoringData ScienceDebuggingDependency ManagementEvaluation Metrics