During May 2025, Musa Baloyi enhanced the evaluation pipeline for the IBM/unitxt repository by introducing precision and recall metrics to the Schema Linking Task. Using Python and leveraging data analysis and machine learning skills, Musa engineered these metrics to provide more granular insights into model performance, supporting targeted tuning and benchmarking. The implementation focused on maintainability, featuring clean, testable code and thorough documentation to ensure clarity for future contributors. No bugs were reported or fixed during this period, and all changes were isolated to the evaluation components, reflecting a focused and methodical approach to improving model assessment within the project.