Dataset Curation

The process of selecting, filtering, cleaning, and organizing demonstration data for robot learning. Curation removes low-quality episodes (failed attempts, operator errors), balances task and object diversity, augments underrepresented cases, and structures data for efficient training. High-quality curated datasets dramatically outperform equivalent-size uncurated ones.