Search is not available for this dataset
video video 30.1 36 | label class label 2
classes |
|---|---|
020260925_182240_88fe4bd3 | |
020260925_182240_88fe4bd3 | |
020260925_182240_88fe4bd3 | |
120260925_182910_413ba05c | |
120260925_182910_413ba05c | |
120260925_182910_413ba05c |
Bottle Straw
Two YAM robot teleoperation recordings in the original
yam-abc-reproduce raw episode format (schema version 1).
The original folder names, metadata, arrays, and videos are preserved.
| Folder | Episode | Control frames | Control rate |
|---|---|---|---|
bottle_straw_01 |
20260925_182240_88fe4bd3 |
902 | 30 Hz |
bottle_straw_02 |
20260925_182910_413ba05c |
1080 | 30 Hz |
Total: 2 episodes and 1,982 control frames.
Each episode contains:
metadata.json: recording configuration and frame count.left-images-rgb.mp4,right-images-rgb.mp4, andtop-images-rgb.mp4: RGB camera recordings, configured at 640 x 480 and 30 FPS.*-joint_pos.npyand*-gripper_pos.npy: recorded arm observations.action-*-joint.npyandaction-*-gripper.npy: recorded arm actions.*-timestamp.npy: camera timestamps.write_complete.flag: recording completion marker.
Both arms have six joints and a gripper. NumPy arrays can be loaded with
numpy.load(path, allow_pickle=False) and videos with an MP4-compatible decoder.
These files retain the raw recording format; they have not been converted to
LeRobot or another training dataset format.
- Downloads last month
- 67