Worked on the huggingface/lerobot repository to enhance data-loading reliability and cache verification efficiency. Addressed performance bottlenecks by optimizing the retrieval of episode indices, applying a unique operation on the episode_index column to reduce overhead during cache verification. Improved dataset management by introducing a validity check for dataset revision, preventing errors during loading or downloading and increasing robustness in production environments. Leveraged Python to implement these changes, focusing on caching, error handling, and optimization. The work resulted in faster dataset access and a lower error rate, demonstrating a thoughtful approach to both performance and reliability in data handling workflows.