Long Horizon3
Collection
Dataset + policies + eval for the **long_horizon3** task (WetLabRoboData / ChemLab imitation-learning benchmark). • 5 items • Updated
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# https://github.com/huggingface/huggingface.jsdiffusion-long_horizon3-scratch
LeRobot diffusion policy for the long_horizon3 task.
| Field | Value |
|---|---|
| Policy family | diffusion (LeRobot) |
| Variant | Scratch (trained only on this task's data) |
| Training dataset | WetLabRoboData/lerobot-data-long_horizon3 |
| Target task | long_horizon3 | | Eval episodes | 19 | | Eval successes | 0 / 19 | | Robot | UR3e bimanual (3 cameras) |
Evaluation
Rollout videos + per-episode outcomes: WetLabRoboData/eval-diffusion-long_horizon3-scratch.
Load and deploy
from lerobot.policies.diffusion.modeling_diffusion import DiffusionPolicy
policy = DiffusionPolicy.from_pretrained("WetLabRoboData/diffusion-long_horizon3-scratch")
Provenance
Reorganized from WetLabRoboData/lerobot-data-longhorizon3_renumbered_success 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.
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