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0121_gearmesh_teleop_aug_2000
/home/shuo/.cache/huggingface/lerobot/0121_gearmesh_teleop_aug_2000
task_index gear_mesh 0
null
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null
null
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[]
10
0121_nutthread_teleop_aug_2000
/home/shuo/.cache/huggingface/lerobot/0121_nutthread_teleop_aug_2000
task_index gear_mesh 0
null
{ "observation.state": { "min": "[ 0.29610214 -0.22155188 0.00928816 -0.05808281 0.77398705 -0.632532\n -0.05035634 0. -0.09044845 -0.13223644 -0.05587521 -0.49977875\n -0.3091898 -1.8603337 ]", "max": "[0.47568086 0.0867549 0.13170591 0.04305074 0.9999993 0.27761367\n 0.04826248 0.39880952 0.08...
{ "codebase_version": "v3.0", "robot_type": "xarm", "total_episodes": 2000, "total_frames": 786308, "total_tasks": 1, "chunks_size": 1000, "data_files_size_in_mb": 100, "video_files_size_in_mb": 200, "fps": 15, "splits": { "train": "0:2000" }, "data_path": "data/chunk-{chunk_index:03d}/file-...
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{ "episode_index": [ 1999 ], "tasks": [ [ "gear_mesh" ] ], "length": [ 414 ], "data/chunk_index": [ 0 ], "data/file_index": [ 1 ], "dataset_from_index": [ 785894 ], "dataset_to_index": [ 786308 ], "stats/action/min": [ "[ 0.375505 -0.19700827 0....
[]
10
0121_peginsert_teleop_aug_2000
/home/shuo/.cache/huggingface/lerobot/0121_peginsert_teleop_aug_2000
task_index gear_mesh 0
null
{ "observation.state": { "min": "[ 0.2834762 -0.14622664 0.02682373 -0.12823594 0.9884889 -0.09908803\n -0.14057824 0. -0.05548669 -0.10661928 -0.06390861 -0.3587433\n -0.3525084 -0.27447733]", "max": "[0.45719755 0.08806431 0.13214421 0.11149003 0.99999976 0.1398283\n 0.0674132 0.9464286 0.10...
{ "codebase_version": "v3.0", "robot_type": "xarm", "total_episodes": 2000, "total_frames": 426688, "total_tasks": 1, "chunks_size": 1000, "data_files_size_in_mb": 100, "video_files_size_in_mb": 200, "fps": 15, "splits": { "train": "0:2000" }, "data_path": "data/chunk-{chunk_index:03d}/file-...
null
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{ "episode_index": [ 1999 ], "tasks": [ [ "gear_mesh" ] ], "length": [ 206 ], "data/chunk_index": [ 0 ], "data/file_index": [ 0 ], "dataset_from_index": [ 426482 ], "dataset_to_index": [ 426688 ], "stats/action/min": [ "[ 0.37087697 -0.09327577 0....
[]
10

Residual Copilot — Data

Teleoperation demonstration data for Residual Shared Autonomy. Used by the kNN pilot for nearest-neighbor action retrieval and for sampling episode initial states during environment resets.

Contents

teleop/
├── gearmesh_train_data.npy               # GearMesh teleop trajectories
├── peginsert_train_data.npy              # PegInsert teleop trajectories
├── nutthread_train_data.npy              # NutThread teleop trajectories
├── *_train_data_aug.npy                  # Augmented versions (with noise/perturbations)
└── *_train_data_aug_meta.json            # Augmentation metadata

Each .npy file is a dictionary keyed by episode ID. Each episode contains obs.fingertip_pos, obs.fingertip_quat, obs.fingertip_pos_rel_fixed, obs.fingertip_pos_rel_held, and action trajectories.

For DiffusionPolicy BC training, use the separate LeRobot-format datasets instead (e.g., shashuo0104/0126_gearmesh_expert_2000).

Usage

Data is auto-downloaded at runtime via resolve_hf(). See the main repo for setup instructions.

Related

Repo Type Contents
residual_copilot_assets dataset Robot URDF/USD and object meshes
residual_copilot_models model BC pilot + RL residual copilot checkpoints
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