Datasets:
license: mit
StellaVLA — RoboDojo trajectories
robodojo_lerobot.tar 120 GB unpack in place -> robodojo_lerobot_v30/
Byte-identical copy of the joint variant of the RoboDojo LeRobot v3.0 export, kept next to the StellaVLA results so the trajectories and their annotations are guaranteed to line up. Contents of the tar:
| path | size | notes |
|---|---|---|
robodojo_lerobot_v30/meta/ |
54 MB | includes the modality.json upstream does not ship |
robodojo_lerobot_v30/data/ |
262 MB | 14-D joint state + action parquet |
robodojo_lerobot_v30/videos/observation.images.cam_high/ |
48 GB | head camera — what the CoT is grounded in |
robodojo_lerobot_v30/videos/observation.images.cam_left_wrist/ |
32 GB | |
robodojo_lerobot_v30/videos/observation.images.cam_right_wrist/ |
33 GB |
3500 episodes / 35 tasks / 1,859,602 frames, 25 fps, ARX X5 bimanual, 480x640.
State and action are 14-D: [left_arm(6), left_gripper, right_arm(6), right_gripper].
Annotations (per-episode grounding chain-of-thought for exactly these episodes) are
robodojo/robodojo_cot.tar in siyuhsu/StellaVLA-Data.
Upstream: RoboDojo-Benchmark/RoboDojo
data/RoboDojo_lerobot_v30_video — unmodified. Benchmark: https://robodojo-benchmark.com (arXiv:2607.04434).
Do not substitute
RoboDojo_ee_lerobot_v30_video. That variant is 16-D end-effector state and its episodes are split differently (ep1000 is 363 frames there vs 513 here), so its videos do not line up with the annotations frame for frame.