Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
video
video
30.6
63.4
label
class label
3 classes
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
0observation.images.front
End of preview. Expand in Data Studio

FurnitureBench Lamp Delta LeRobot Dataset

This dataset is a LeRobot v2.1 conversion of the FurnitureBench lamp task used by the Robo_Continual_Learning project.

Contents

  • Task: assemble a lamp with a lamp base, lamp bulb, and lamp hood.
  • Robot: Franka.
  • Episodes: 200.
  • Frames: 142,466.
  • FPS: 15.
  • Cameras: front, rear, and wrist RGB videos at 256 x 256.
  • State: 37D raw robot state.
  • Action: 8D delta end-effector action plus gripper command.

The folder follows the standard LeRobot layout:

meta/
data/chunk-000/
videos/chunk-000/

The action fields are:

eef_delta_pos_x, eef_delta_pos_y, eef_delta_pos_z,
eef_delta_quat_x, eef_delta_quat_y, eef_delta_quat_z, eef_delta_quat_w,
gripper

Source

The data was converted from FurnitureBench lamp trajectories into LeRobot format for offline imitation learning and offline-to-online robot fine-tuning experiments.

Downloads last month
123