... been building Calibra, an open-source dataset observability and coreset optimization tool for robot learning. It checks things like timestamps, duplicate/frozen frames, blurry cameras, jerky motion, action-state divergence, quality, and behavioral coverage. The interesting part is the optimization side: across several public robotics datasets, we've found that quality-aware selection can preserve model performance while using substantially less training data than the full dataset or random selection. I recently had someone try it on their real robotics dataset ... ... inspect the episodes Calibra