TRICOS.AI DeskOrganizationV1
A 600-episode desktop manipulation dataset recorded from human demonstrations, in LeRobot v3.0 format.
Published by TRICOS.AI, an embodied-AI data infrastructure company.
Overview
| Property | Value |
|---|---|
| Episodes | 600 |
| Tasks | 12 language-conditioned tasks (6 objects x left/right box), 50 each |
| Frames | 199,675 |
| Frame rate | 60 Hz |
| Vision | Stereo pair, 1920 x 1200, calibrated and undistorted |
| State | Head pose, both wrist poses (position + quaternion), gripper state |
| Format | LeRobot v3.0 |
Tasks
Twelve instructions pair six object categories (tissue, clear tape, glue stick,
pen, bowl, desktop items) with a left or right box. The instruction text is
stored in Chinese and is the task label in meta/tasks.parquet.
Structure
DeskOrganizationV1/
βββ data/chunk-000 .. chunk-005/file-000 .. file-099.parquet # one per episode
βββ videos/
β βββ observation.images.stereo_left/chunk-000 .. chunk-005/*.mp4
β βββ observation.images.stereo_right/chunk-000 .. chunk-005/*.mp4
βββ meta/
β βββ info.json # version, fps, totals, chunks_size
β βββ tasks.parquet # 12 language instructions
β βββ stats.json # per-feature statistics
β βββ camera.json # per-episode left-camera intrinsics
β βββ episodes/ # per-episode length, file locations, timestamps
βββ VIDEO_ROTATION.md
βββ README.md
βββ LICENSE
Each chunk directory groups 100 episodes; inside it each episode has its own parquet and its own video file per camera.
Features
| Feature | Dim | Description |
|---|---|---|
observation.images.stereo_left |
video | Left RGB stream, 1920x1200 |
observation.images.stereo_right |
video | Right RGB stream, 1920x1200 |
observation.head_pose |
7 | Head pose (xyz + quaternion xyzw) |
observation.left_hand_pose |
7 | Left wrist pose |
observation.right_hand_pose |
7 | Right wrist pose |
observation.state |
21 | Head + both wrists, concatenated |
observation.gripper |
2 | Gripper state: 1 = grasping, 0 = open, NaN = unknown |
timestamp |
1 | Time within the episode (seconds) |
frame_index |
1 | Frame index within the episode |
episode_index / index / task_index |
1 | Episode, global row and task indices |
Pose convention: positions in metres, quaternions in xyzw order, one shared world frame that is not gravity-aligned.
Pose origin
observation.head_pose is the left camera's optical-centre pose.
The two *_hand_pose columns are not measured at the IMU: they are the
pose of the wrist AprilTag centre, in the canonical tag frame (tag +z points
away from the hand). The tracker used for this dataset mounts the 20 mm tag on
the outer face of the enclosure, 17.5 mm above the hand-side surface:
p_hand = p_tag + R_tag * (0, 0, -17.51) mm
For the IMU-origin transform, contact TRICOS.AI.
Usage
from lerobot.datasets.lerobot_dataset import LeRobotDataset
ds = LeRobotDataset("DeskOrganizationV1", root="DeskOrganizationV1")
frame = ds[0]
Video orientation. The camera is mounted upside down. Using the videos as stored needs no change. For 2D policies the left eye is the recommended RGB input. If you rotate the videos 180 degrees, or change their resolution, apply the matching transforms to the poses β see VIDEO_ROTATION.md.
Quality
- Every frame is checked against the source capture; every video segment is decoded and timestamp-checked.
- Vision, poses and gripper state are aligned per frame.
- Images are calibrated and undistorted.
- Gripper states were reviewed and confirmed for all 600 episodes.
Privacy & Consent
All demonstrations were collected with informed consent for public release. The camera is mounted overhead and is not aimed at the operator's face. If you believe a recording should not be public, contact us and we will remove it.
License
Released under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). Commercial licensing: contact TRICOS.AI.
Citation
@misc{tricos_deskorganizationv1,
title = {TRICOS.AI DeskOrganizationV1: A Desktop Manipulation Demonstration Dataset},
author = {{TRICOS.AI}},
year = {2026},
howpublished = {Hugging Face Datasets},
note = {600 episodes, 12 language-conditioned tasks, LeRobot v3.0}
}
Contact
TRICOS.AI β embodied-AI data infrastructure.
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