WetLabRoboData/diffusion-septum-scratch
Robotics • 0.3B • Updated • 17
Datasets:
160 episodes · 10 fps · 2 cameras · 256×144 h264
septum
Teleoperation demonstrations for the septum task, part of the WetLabRoboData / ChemLab imitation-learning benchmark (UR3e bimanual arm, 3 cameras, GELLO teleop).
| Field | Value |
|---|---|
| Category | short-horizon |
| Train episodes | 160 |
| Mean episode length | 19.1 s |
| Robot | UR3e bimanual |
| Cameras | front, left_wrist_top, right_wrist_top |
| Teleop | GELLO |
| Format | LeRobot v3 |
Related
Scratch policy:
WetLabRoboData/diffusion-septum-scratchFull task-collection landing page: WetLabRoboData collections
Load
from lerobot.datasets import LeRobotDataset
ds = LeRobotDataset("WetLabRoboData/lerobot-data-septum")
Provenance
Reorganized from WetLabRoboData/lerobot-data-septum_insert_reactor on 2026-10-04. The original
raw mirror (data + checkpoints + eval all in one repo) is preserved in the
old/ subfolder of that source repo for traceability.
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Models trained or fine-tuned on WetLabRoboData/lerobot-data-septum