--- pretty_name: UF850 Quest VR Press Buttons Raw language: - en tags: - robotics - teleoperation - xarm - quest-vr - realsense - raw-data size_categories: - 10K First press the blue button, then press the red one, and finally press the orange one The canonical prompt is stored in `episode_meta.json` as `task`. It is intentionally not duplicated in every step-level `data.json`. ## Task layout ![External-camera view of the initial task layout](layout_external.jpg) In this external-camera view, the buttons are arranged orange, red, and blue from left to right. The commanded sequence is blue, then red, then orange (right to left in this view). ## Dataset summary | Item | Value | | --- | ---: | | Episodes | 50 (`episode_000`–`episode_049`) | | Transition steps | 20,659 | | JPEG images | 41,318 (20,659 per camera) | | Nominal transition rate | 10 Hz | | Nominal transition time | 34.43 minutes | | Image size | 1920×1080 | ## Cameras | File | Role | RealSense serial | Capture mode | | --- | --- | --- | --- | | `cam_0.jpg` | wrist | `845112070404` | 1920×1080 YUYV @ 30 FPS | | `cam_1.jpg` | external | `215222078407` | 1920×1080 YUYV @ 30 FPS | ## File layout To keep the Hub repository reliable and easy to download, each episode is distributed as one uncompressed tar archive. The archive is only a container: the JPEG and JSON file bytes inside are unchanged from the validated raw capture. ```text README.md layout_external.jpg SHA256SUMS episodes/ episode_000.tar episode_001.tar ... ``` Extract an episode with, for example: ```bash tar -xf episodes/episode_000.tar ``` Each archive expands to the original capture layout: ```text episode_NNN/ episode_meta.json step_00000/ cam_0.jpg cam_1.jpg data.json step_00001/ ... ``` Each step contains the synchronized observation and camera pair at time `t`, plus the raw robot-state difference to the following sample: ```text action[t] = state[t + 1] - state[t] ``` Actions are not divided by `dt`. ### `data.json` - `observations.ee_pos`: `[x, y, z, roll, pitch, yaw]` - `observations.joint_pos`: six joint angles - `observations.gripper_pos`: raw xArm gripper position - `action.delta_ee_pos`: next-minus-current TCP delta - `action.delta_joint_pos`: next-minus-current joint delta - `action.delta_gripper`: next-minus-current gripper delta - `meta`: schema version, step number, sampling time, real `dt`, camera timestamps/frame numbers/skew, frame age, state-read duration, and wrapped Euler-angle delta Units are millimetres for TCP XYZ, degrees for TCP Euler angles and joint angles, and the raw xArm scale (nominally 0–850) for the gripper. Delta fields use the corresponding source units. ### `episode_meta.json` Episode metadata records the task prompt, start/end times, termination reason, camera identities, collection configuration snapshot, step count, and error statistics. ## Validation and raw-data notes - All 50 published episodes were checked for contiguous numbering, required files, full 1920×1080 JPEG decoding, finite JSON values, next-current action alignment, camera synchronization, frame ordering, and episode metadata consistency. - One original capture was excluded before publication because it began at the preceding orange-button endpoint and included a return/gripper-reset segment before the intended task. The remaining original episodes were renumbered contiguously; their images, step JSON, observations, and actions were not modified. - Published `episode_005` and `episode_013` have episode metadata reconstructed from preserved step records from an earlier cleanup. Published `episode_034` and `episode_040` were reconstructed during this publication cleanup using preserved step timestamps, finalized-file times, the shared task, and the common collection configuration. - Static prefixes and tails are retained because this is a raw dataset. In particular, `episode_013` contains an approximately 17.8-second static segment after the useful motion. - Raw Euler deltas retain the legacy direct-subtraction behavior, including wrap-boundary values near ±360°. A wrapped rotation delta is also available in each step's metadata.