robotensor/robotwin-aloha-clean

RoboTwin ICIL Aloha Clean Training data for RoboTwin-ICIL, a one-demonstration in-context imitation learning benchmark, in robotwin-icil-hdf5-multiview-v1 format. Contents 50 tasks x 50 trajectories = 2,500 aloha-agilex trajectories, all of them training data. Each episode has an HDF5 trajectory, three aligned 320x240 H.264 videos (head, left wrist, right wrist) and an instruction JSON. The HDF5 holds joint commands, actions, end-effector poses, camera calibration… See the full description on the dataset page: https://huggingface.co/datasets/robotensor/robotwin-aloha-clean.

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