You need to agree to share your Hugging Face information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

MemWAM: Unitree R1 teleoperation recordings

Teleoperated manipulation episodes recorded on a Unitree R1 with its head camera (egocentric view), joint state and Piper grippers.

Task Groups Episodes Duration Sample images Raw frames
r1_order_retrieval 20 × 7 140 52 min 31,242 46,106
r1_sorting 20 × 2 40 32 min 18,808 27,755
r1_hidden_color 20 × 6 120 52 min 30,605 45,187

Every image is provided twice: as recorded (fisheye) and undistorted (pinhole).

Repository layout

packed/
  <task>/<task>_000-019.tar     one uncompressed tar per task (groups 000-019)
  index.json                    per tar: groups, episodes, file counts, bytes, sha256
calibration/
  cam_param.txt                 R1 head stereo factory calibration
  undistort_r1.py               script that produced the undistorted images
README.md

Download

# one task
hf download haodotgu/MemWAM --repo-type dataset --include "packed/r1_sorting/*" --local-dir MemWAM
cd MemWAM && tar xf packed/r1_sorting/r1_sorting_000-019.tar

Use --include "packed/*" for everything. Each tar extracts to <task>_group_NNN/episode_N/. Check integrity with the sha256 in packed/index.json.

Episode format

episode_N/
  episode.json            metadata: task, times, frame counts, storage, provenance
  samples.jsonl           10 Hz state rows (also as arrays in samples.npz)
  samples.npz             qpos/qvel (26), quat (4), token_state (64), gripper_* (2), t, camera_ego_t
  images/ego/NNNNNN.png               image matched to each sample row (10 Hz)
  images/ego_undistorted/NNNNNN.png   same, undistorted
  frames/ego/NNNNNNNNN.png            every camera frame received (~15 Hz)
  frames/ego_undistorted/NNNNNNNNN.png same, undistorted
  frames.jsonl            timestamp and frame_id of every raw frame
  controller.json         controller / policy configuration
  inference_meta.json
  undistort.json          calibration and geometry used for the undistorted images

Images are 384×216 RGB PNG (resized with INTER_AREA from the camera's 1280×720 stream). Sample row i uses images/ego/{i:06d}.png; raw frames are indexed by frames.jsonl. Undistorted directories use the same file names. Timestamps are Unix seconds.

Camera and undistortion

The ego image is the R1 head stereo module's right-eye crop: rows 184–903 of the 1280×1088 right sensor. Factory calibration (calibration/cam_param.txt) uses the OpenCV rational model (k1 k2 p1 p2 k3 k4 k5 k6); the left/right extrinsics give a 58.9 mm baseline.

Undistorted images are an ideal pinhole projection at 384×216 with fx = fy = 114 px, principal point (191.5, 107.5), FOV 118.6° × 86.9°. Areas outside the camera's view are black. The exact matrices are in each episode's undistort.json.

Downloads last month
427