Rokoko → Unitree G1 + Dex3
This dataset was created using LeRobot from saved Rokoko suit/Smart Gloves teleoperation episodes in MuJoCo.
3 episodes · 3783 frames · 30 FPS · 2 cameras
Robot: Rokoko_G1_Dex3_FullBody. Dataset format: v3.0. Exporter runtime: LeRobot 0.4.1.
Tasks
- Transfer box from Table A to Table B
Observation and action semantics
observation.state: Actual simulated/displayed kinematic G1 joint state at source snapshot; not hardware feedback.action: Associated published Rokoko-retargeted G1 target; not measured hardware command execution.- Joint positions are radians. Root position is metres; root quaternion is
(w, x, y, z). - These are simulation demonstrations, not physical robot feedback or verified hardware trajectories.
Cameras
| Feature | Resolution | Encoding | FPS |
|---|---|---|---|
observation.images.front |
480 × 360 | av1, yuv420p | 30 |
observation.images.side |
480 × 360 | av1, yuv420p | 30 |
front is the robot-mounted camera; side is the external environment camera. Browser video decoding support depends on the browser and the listed codec.
Sampling
Timestamp-aware causal whole-snapshot hold, fixed FPS; no joint/pose/image interpolation; pause segments split.
Original RGB JPEG snapshots encoded as video at export FPS; temporal upsampling does not create new images.
Source timestamps and source frame IDs remain available as custom features; the complete resampling map is in provenance/resampling.jsonl.
Feature schema
| Feature | Type | Shape |
|---|---|---|
observation.state |
float32 | [43] |
action |
float32 | [43] |
observation.root_position |
float32 | [3] |
observation.root_quaternion |
float32 | [4] |
observation.target_root_position |
float32 | [3] |
observation.target_root_quaternion |
float32 | [4] |
observation.full_body_state |
float32 | [43] |
observation.full_body_target |
float32 | [43] |
observation.box_pose |
float32 | [7] |
observation.grasp_state |
float32 | [3] |
observation.glove_curl |
float32 | [2] |
observation.solver |
float32 | [4] |
observation.solver_valid |
float32 | [4] |
observation.tracking |
float32 | [2] |
source.timestamp |
float64 | [1] |
source.capture_monotonic |
float64 | [1] |
source.frame_index |
int64 | [1] |
source.raw_index |
int64 | [1] |
observation.human_positions |
float32 | [189] |
observation.filtered_positions |
float32 | [189] |
observation.human_rotations |
float32 | [567] |
observation.filtered_rotations |
float32 | [567] |
observation.images.front |
video | [360, 480, 3] |
observation.images.side |
video | [360, 480, 3] |
timestamp |
float32 | [1] |
frame_index |
int64 | [1] |
episode_index |
int64 | [1] |
index |
int64 | [1] |
task_index |
int64 | [1] |
Complete metadata and dimension names: meta/info.json.
Joint ordering
Version: g1_29_dex3_14_mjcf_v1.
The same index ordering applies to observation.state and action.
| Index | Feature name | Source joint | Units |
|---|---|---|---|
| 0 | left_hip_pitch_joint |
left_hip_pitch_joint |
radians |
| 1 | left_hip_roll_joint |
left_hip_roll_joint |
radians |
| 2 | left_hip_yaw_joint |
left_hip_yaw_joint |
radians |
| 3 | left_knee_joint |
left_knee_joint |
radians |
| 4 | left_ankle_pitch_joint |
left_ankle_pitch_joint |
radians |
| 5 | left_ankle_roll_joint |
left_ankle_roll_joint |
radians |
| 6 | right_hip_pitch_joint |
right_hip_pitch_joint |
radians |
| 7 | right_hip_roll_joint |
right_hip_roll_joint |
radians |
| 8 | right_hip_yaw_joint |
right_hip_yaw_joint |
radians |
| 9 | right_knee_joint |
right_knee_joint |
radians |
| 10 | right_ankle_pitch_joint |
right_ankle_pitch_joint |
radians |
| 11 | right_ankle_roll_joint |
right_ankle_roll_joint |
radians |
| 12 | waist_yaw_joint |
waist_yaw_joint |
radians |
| 13 | waist_roll_joint |
waist_roll_joint |
radians |
| 14 | waist_pitch_joint |
waist_pitch_joint |
radians |
| 15 | left_shoulder_pitch_joint |
left_shoulder_pitch_joint |
radians |
| 16 | left_shoulder_roll_joint |
left_shoulder_roll_joint |
radians |
| 17 | left_shoulder_yaw_joint |
left_shoulder_yaw_joint |
radians |
| 18 | left_elbow_joint |
left_elbow_joint |
radians |
| 19 | left_wrist_roll_joint |
left_wrist_roll_joint |
radians |
| 20 | left_wrist_pitch_joint |
left_wrist_pitch_joint |
radians |
| 21 | left_wrist_yaw_joint |
left_wrist_yaw_joint |
radians |
| 22 | left_hand_thumb_0_joint |
left_hand_thumb_0_joint |
radians |
| 23 | left_hand_thumb_1_joint |
left_hand_thumb_1_joint |
radians |
| 24 | left_hand_thumb_2_joint |
left_hand_thumb_2_joint |
radians |
| 25 | left_hand_middle_0_joint |
left_hand_middle_0_joint |
radians |
| 26 | left_hand_middle_1_joint |
left_hand_middle_1_joint |
radians |
| 27 | left_hand_index_0_joint |
left_hand_index_0_joint |
radians |
| 28 | left_hand_index_1_joint |
left_hand_index_1_joint |
radians |
| 29 | right_shoulder_pitch_joint |
right_shoulder_pitch_joint |
radians |
| 30 | right_shoulder_roll_joint |
right_shoulder_roll_joint |
radians |
| 31 | right_shoulder_yaw_joint |
right_shoulder_yaw_joint |
radians |
| 32 | right_elbow_joint |
right_elbow_joint |
radians |
| 33 | right_wrist_roll_joint |
right_wrist_roll_joint |
radians |
| 34 | right_wrist_pitch_joint |
right_wrist_pitch_joint |
radians |
| 35 | right_wrist_yaw_joint |
right_wrist_yaw_joint |
radians |
| 36 | right_hand_thumb_0_joint |
right_hand_thumb_0_joint |
radians |
| 37 | right_hand_thumb_1_joint |
right_hand_thumb_1_joint |
radians |
| 38 | right_hand_thumb_2_joint |
right_hand_thumb_2_joint |
radians |
| 39 | right_hand_middle_0_joint |
right_hand_middle_0_joint |
radians |
| 40 | right_hand_middle_1_joint |
right_hand_middle_1_joint |
radians |
| 41 | right_hand_index_0_joint |
right_hand_index_0_joint |
radians |
| 42 | right_hand_index_1_joint |
right_hand_index_1_joint |
radians |
Machine-readable mapping: meta/robot_joint_mapping.json.
Dataset structure
README.md
meta/info.json
meta/stats.json
meta/tasks.parquet
meta/episodes/chunk-*/file-*.parquet
data/chunk-*/file-*.parquet
videos/observation.images.{front,side}/chunk-*/file-*.mp4
provenance/export.json
provenance/resampling.jsonl
validation.json
Human skeleton/glove data, root transforms, box/grasp/task state and solver diagnostics are additional features. Source episode status, session references and calibration metadata are retained in provenance. Missing solver metrics use a validity mask.
Limitations and source quality
Acceptance denotes a collection decision, not a guarantee of task success or robot safety. Temporal upsampling does not add camera observations. Collision diagnostics describe the source solver; they do not certify physical robot execution.
- accepted/episode_000000_attempt_000: first-frame object/grasp/success state is not reset; source preserved as collected.
Visualization
Use the official LeRobot visualizer and enter the uploaded dataset repository ID. All files must be uploaded at the dataset repository root.
License
Not specified. The dataset owner must choose a license before licensed redistribution.
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