endoard/grab_cup_2cam_v5

Superseded by grab_cup_2cam_v6. Same goal — removing the static pauses that make a trained policy freeze mid-task — but v5 cuts them by splitting 145 episodes into 498 shorter ones. That triples the action chunks that run off an episode end and are filled with a repeated last action, which openpi trains on as real: 2.4% -> 9.5% of the loss. v6 drops the same frames in place, leaving the episodes intact and that figure at 2.8%. Use v6. grab_cup_2cam_v5 — SO-101, two cameras… See the full description on the dataset page: https://huggingface.co/datasets/endoard/grab_cup_2cam_v5.

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