Datasets:
G1 + Inspire — "place the red ball in the box" (GR00T N1.7 / G1_INSPIRE)
Teleoperated Unitree G1 (29-DoF) + Inspire RH56DFTP hands manipulation data,
converted to the GR00T-flavored LeRobot v2.1 format for fine-tuning GR00T N1.7
as a custom NEW_EMBODIMENT (here called G1_INSPIRE).
Summary
- Task: "place the red ball in the box" (single task)
- Episodes / frames: 85 / 40,878 @ 60 fps (~11 min); 76 successful / 9 failed (
successflag inmeta/episodes.jsonl) - Camera: onboard Intel RealSense D435 ego-view (
observation.images.ego_view, 424×240, h264) - observation.state: 63-dim · action: 30-dim · observation.tactile: 34-dim (see index below)
Data fields & vector index
observation.state (float32[63]) — proprioception (+ pooled tactile)
| idx | group | per-element (in order) | unit |
|---|---|---|---|
| 0–6 | left_arm |
shoulder_pitch, shoulder_roll, shoulder_yaw, elbow, wrist_roll, wrist_pitch, wrist_yaw | rad (absolute joint angle) |
| 7–13 | right_arm |
shoulder_pitch, shoulder_roll, shoulder_yaw, elbow, wrist_roll, wrist_pitch, wrist_yaw | rad |
| 14–19 | left_hand |
pinky, ring, middle, index, thumb_pitch, thumb_yaw | rad (Inspire RH56DFTP) |
| 20–25 | right_hand |
pinky, ring, middle, index, thumb_pitch, thumb_yaw | rad |
| 26–28 | waist |
yaw, roll, pitch | rad |
| 29–45 | tactile_left |
17 hand regions (see region list) | log1p(pooled) |
| 46–62 | tactile_right |
17 hand regions | log1p(pooled) |
The baseline meta/modality.json uses only 0:29 (tactile-free); the tactile meta/modality.tactile.json uses 0:63.
action (float32[30]) — GR00T prediction target
| idx | group | per-element (in order) | unit | representation |
|---|---|---|---|---|
| 0–6 | left_arm |
shoulder_pitch … wrist_yaw (7) | rad | relative (Δ from current state) |
| 7–13 | right_arm |
shoulder_pitch … wrist_yaw (7) | rad | relative |
| 14–19 | left_hand |
pinky, ring, middle, index, thumb_pitch, thumb_yaw | rad | absolute |
| 20–25 | right_hand |
pinky, ring, middle, index, thumb_pitch, thumb_yaw | rad | absolute |
| 26 | base_height |
commanded base height | m | absolute |
| 27 | navigate_command[0] = vx |
base linear velocity, local frame | m/s | absolute |
| 28 | navigate_command[1] = vy |
base linear velocity, local frame | m/s | absolute |
| 29 | navigate_command[2] = yaw_rate |
base yaw rate | rad/s | absolute |
Lower body: GR00T does not output leg joints — it emits a base velocity (navigate_command) + base_height, which the WBC turns into leg motion.
observation.tactile (float32[34]) — pooled tactile, also embedded in state[29:63]
Per hand, 17 regions in this order (per-region max-pool of the raw taxels, then log1p):
little_tip, little_nail, little_pad, ring_tip, ring_nail, ring_pad, middle_tip, middle_nail, middle_pad, index_tip, index_nail, index_pad, thumb_tip, thumb_nail, thumb_middle, thumb_pad, palm
→ dims 0–16 = left hand, 17–33 = right hand.
Other parquet columns
| column | dtype | meaning |
|---|---|---|
timestamp |
float32 | seconds from episode start (frame_index / 60) |
frame_index |
int64 | 0…T−1 within the episode |
episode_index |
int64 | 0…84 |
index |
int64 | global frame index, 0…40877 |
task_index |
int64 | 0 (single task) |
annotation.human.task_description |
int64 | task id → text via meta/tasks.jsonl ("place the red ball in the box") |
meta/
info.json— schema (codebase_version v2.1, fps 60, robot_type unitree_g1, per-feature shapes/names,author: MLeggiero).episodes.jsonl— per episode:episode_index, tasks, length, success (bool), source(original session/episode).tasks.jsonl—{task_index: 0, task: "place the red ball in the box"}.stats.json— per-feature mean/std/min/max/q01/q99 (GR00T normalization).modality.json(baseline) /modality.tactile.json(tactile) — GR00T modality slices.
Sidecars (raw, not referenced by the baseline modality config)
tactile/episode_0000NN.npz→left,right: (T, 1062) uint16 raw taxels (0…~65535). The 1062 split into the 17 regions above with grid shapes: tip 3×3 (9), nail 12×8 (96), pad 10×8 (80) for little/ring/middle/index; thumb = tip 3×3 (9) + nail 12×8 (96) + middle 3×3 (9) + pad 12×8 (96); palm 8×14 (112). (Σ = 1062.)depth/episode_0000NN.npz→depth: (T, 240, 424) uint16, depth in millimeters.
Units & conventions
Arm/waist/hand angles in radians; hands are Inspire RH56DFTP DoFs mapped from raw 0–1000
registers to radians via the joint limits. base_height in meters, navigate_command in
m/s & rad/s (robot-local frame). Tactile in observation.* is log1p of per-region max-pooled
raw taxels; the tactile/ sidecar holds the un-pooled uint16 taxels.
Fine-tuning (GR00T N1.7)
python gr00t/experiment/launch_finetune.py \
--base-model-path nvidia/GR00T-N1.7-3B \
--dataset-path <this dataset> \
--embodiment-tag NEW_EMBODIMENT \
--modality-config-path g1_inspire_modality_config.py \
--num-gpus 1 --global-batch-size 4
Provenance & license
Author: MLeggiero. Data collected by MLeggiero on a Unitree G1 + Inspire RH56DFTP
teleoperation rig, using the open-source collection stack from the YanjieZe repository
(tooling credit only). Set the license above appropriately before making this dataset public.
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