Myungkyu/banana-challenge-data
banana challenge — LeRobot dataset Teleoperated demonstrations of "Place the banana into the basket" on an OpenArm + Inspire Hand platform (right arm and hand only). task Place the banana into the basket (single instruction) episodes / frames 54 / 16,202 fps 30 cameras ego_left, ego_right — 640×360 RGB, stereo ego view state / action 13-D absolute joint: 7 arm (openarm_right_joint1..7) + 6 hand (right_hand_{thumb_1,thumb_2,index_1,middle_1,ring_1… See the full description on the dataset page: https://huggingface.co/datasets/Myungkyu/banana-challenge-data.
banana challenge — LeRobot dataset
Teleoperated demonstrations of "Place the banana into the basket" on an OpenArm + Inspire Hand platform (right arm and hand only).
Layout
Two LeRobot generations of the same recording, built from the same raw bags:
- `v2.1/` — LeRobot v2.1. Carries
meta/modality.json,episodes.jsonl,stats.json. Consumed by RLDX-1 / GR00T-style stacks, which read v2.1 only. - `v3.0/` — LeRobot v3.0, derived from
v2.1/with the official converter and quantile statistics recomputed. Consumed bylerobot's pi0.5 training.
Frames, videos and joint values are identical across the two; only the metadata format differs.
Notes
- Actions are absolute joint targets, not deltas.
- Normalization uses q01/q99 quantile statistics, present in both generations'
stats.json. The official v2.1→v3.0 converter drops them, so they were recomputed after conversion. - The head/neck joints were held fixed during collection (
openarm_head_pitch≈ 1.0 rad,openarm_head_yaw= 0.0 rad) and are not part of the 13-D vector. The left arm was not used.
Models trained on this dataset: `Myungkyu/banana-challenge-ckpts`
