Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
video
video
5.9
5.9
label
class label
2 classes
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
0observation.images.ego_opposite
End of preview. Expand in Data Studio

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Shadow Bottle Grasp 100 (Two Cameras)

LeRobot v2.1 dataset for Shadow-hand grasping of core_bottle_22249179e88b0502846564a8a219239b.

Contents

  • Episodes: 100
  • Frames per episode: 177
  • Total frames: 17,700
  • Frequency: 30 Hz
  • Task: Grasp this bottle and lift it up.
  • Object scales: 0.08, 0.10, 0.12, 0.15
  • Object position augmentation: approximately +/-5 cm in world x/y

Features

  • observation.state: 52D
    • measured wrist 6D
    • measured Shadow finger joints 22D
    • measured-state z_gesture 24D
  • action: 52D
    • target wrist 6D
    • target Shadow finger joints 22D
    • target-action z_gesture 24D
  • observation.images.ego_opposite: H.264, 320x240, 30 Hz
  • observation.images.wrist: H.264, 320x240, 30 Hz

The wrist camera is attached to wrist_rz_link and moves with the hand. Episode ordering and object pose metadata are recorded in episode_manifest.csv.

Validation

  • 100 parquet files and 200 videos are present.
  • State and action values are finite.
  • The first 28 action dimensions exactly match the source trajectories.
  • The 24D action latent differs from the reference cache by at most 1.23e-5.
Downloads last month
141