Worked on improving dataset reliability for the huggingface/peft repository by addressing issues in example code that relied on outdated data. Focused on stabilizing both Python scripts and Jupyter Notebook demos by explicitly pinning dataset loading to the 'main' revision, ensuring that all examples consistently used the latest stable version. This targeted fix eliminated errors in demos, tutorials, and tests caused by dataset version mismatches. Demonstrated proficiency in dataset handling and example development, with careful attention to code-level changes and commit traceability. The work enhanced the reliability of educational materials and contributed to a smoother workflow for users and reviewers.