Search is not available for this dataset
observation_vector list | action list | timestamp float32 0 63.5 | frame_index int64 0 1.9k | episode_index int64 0 4 | index int64 0 9.05k | task_index int64 0 0 |
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End of preview. Expand in Data Studio
block-stack
Recorded trajectories (no simulator) packaged as LeRobot splits for world-model training.
Generated with quickdraw (data.processors).
Observation / action
- observation_vector (17): the recorded state
- observation.images.scene_left (144×192×3, video): recorded camera stream, stored as MP4, aligned 1:1 with the vector frames
- observation.images.scene_right (144×192×3, video): recorded camera stream, stored as MP4, aligned 1:1 with the vector frames
- observation.images.gripper_right_bottom (144×192×3, video): recorded camera stream, stored as MP4, aligned 1:1 with the vector frames
- observation.images.gripper_right_top (144×192×3, video): recorded camera stream, stored as MP4, aligned 1:1 with the vector frames
- action (5): the recorded actions, at 30 Hz
Splits
| split | episodes | steps/ep (mean) | frames |
|---|---|---|---|
train |
43 | 4019 | 172835 |
val |
2 | 17400 | 34799 |
eval_purple_play |
5 | 1810 | 9048 |
eval_purple_stack |
6 | 887 | 5323 |
Normalization statistics are computed on train only and applied to every split.
How this dataset was produced
See PROCESSING.md for the full account: source streams and rates, exactly which fields were kept and dropped and why, the resampling and synchronisation procedure, the train/val split rule, and the verification that images align with state rows.
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