dexsuite/reach_franka_allegro_mg
This dataset was created using LeRobot. Dataset Description Machine-generated DexSuite data for reach with the Franka arm and the allegro end-effector: 200 successful rollouts of the paper's low-dimensional (state) diffusion policy checkpoint trained on the 50 human demonstrations (checkpoint model_epoch_350_reach_franka_allegro_success_0.98.pth; 200 successes in 313 attempts, success rate 0.64; env seed = base seed + attempt index). All episodes are successful, recorded… See the full description on the dataset page: https://huggingface.co/datasets/dexsuite/reach_franka_allegro_mg.
This dataset was created using LeRobot.
<a class="flex" href="https://huggingface.co/spaces/lerobot/visualizedataset?path=dexsuite/reachfrankaallegromg"> <img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg"/> <img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl-dark.svg"/> </a>
Dataset Description
Machine-generated DexSuite data for reach with the Franka arm and the allegro end-effector: 200 successful rollouts of the paper's low-dimensional (state) diffusion policy checkpoint trained on the 50 human demonstrations (checkpoint model_epoch_350_reach_franka_allegro_success_0.98.pth; 200 successes in 313 attempts, success rate 0.64; env seed = base seed + attempt index). All episodes are successful, recorded at 20 Hz with a static front camera and a wrist camera (224x224 RGB video), proprioception and ground-truth object state, under DexSuite's shared observation/action interface (actions are OSC pose offsets from the episode-start end-effector pose plus gripper/hand joint targets). As in every DexSuite set, frame t stores the observation before action t; the success flag on the last frame refers to the transition it triggers, so the terminal state itself is not stored. Reach episodes were recorded to a 3 cm target radius (the benchmark evaluates at 5 cm) so demonstrations keep a margin.
- Homepage: https://huggingface.co/dexsuite
- Paper: DexSuite (RA-L 2026 submission)
- License: apache-2.0
Dataset Structure
meta/info.json:
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BibTeX:
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