---
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`](https://huggingface.co/datasets/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.

Code: https://github.com/siyuhsu/StellaVLA