WetLabRoboData/lerobot-data-long_horizon1
ur3e_bimanual • Updated • 47 episodes
How to use WetLabRoboData/diffusion-long_horizon1-scratch with LeRobot:
LeRobot diffusion policy for the long_horizon1 task.
| Field | Value |
|---|---|
| Policy family | diffusion (LeRobot) |
| Variant | Scratch (trained only on this task's data) |
| Training dataset | WetLabRoboData/lerobot-data-long_horizon1 |
| Target task | long_horizon1 | | Eval episodes | 20 | | Eval successes | 0 / 20 | | Robot | UR3e bimanual (3 cameras) |
Rollout videos + per-episode outcomes: WetLabRoboData/eval-diffusion-long_horizon1-scratch.
from lerobot.policies.diffusion.modeling_diffusion import DiffusionPolicy
policy = DiffusionPolicy.from_pretrained("WetLabRoboData/diffusion-long_horizon1-scratch")
Reorganized from WetLabRoboData/lerobot-data-smrithi-longhorizon1 on 2026-10-04. The archived
training outputs (checkpoints, train_config.json, wandb/) are preserved in
the old/ subfolder of that source repo for traceability.