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metadata
pretty_name: taco_play_train_augmented
license: cc-by-4.0
tags:
  - robotics
  - lerobot
  - oxe-auge
  - dataset
task_categories:
  - robotics
oxe_aug:
  codebase_version: v3.0
  robots:
    - google_robot
    - images
    - jaco
    - kinova3
    - kuka_iiwa
    - sawyer
    - ur5e
    - widowX
    - xarm7
  fps: 15
  total_episodes: 3242
  total_frames: 213972
  total_videos: null
configs:
  - config_name: default
    data_files:
      - split: train
        path:
          - data/chunk-*/file-*.parquet

taco_play_train_augmented

Overview

  • Codebase version: v3.0
  • Robots: google_robot, images, jaco, kinova3, kuka_iiwa, sawyer, ur5e, widowX, xarm7
  • FPS: 15
  • Episodes: 3,242
  • Frames: 213,972
  • Splits:
    • train: 0:3242

Data Layout

data_path : data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
video_path: videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4

Features

Feature dtype shape description
observation.images.google_robot video 150×200×3 Augmented image for google_robot robot
observation.images.image video 150×200×3 Source robot's image from original dataset
observation.images.jaco video 150×200×3 Augmented image for jaco robot
observation.images.kinova3 video 150×200×3 Augmented image for kinova3 robot
observation.images.kuka_iiwa video 150×200×3 Augmented image for kuka_iiwa robot
observation.images.sawyer video 150×200×3 Augmented image for sawyer robot
observation.images.ur5e video 150×200×3 Augmented image for ur5e robot
observation.images.widowX video 150×200×3 Augmented image for widowX robot
observation.images.xarm7 video 150×200×3 Augmented image for xarm7 robot
episode_index int64 1 Index of the current episode within the dataset.
frame_index int64 1 Index of the current frame within its episode.
index int64 1 Global frame index across the whole dataset.
natural_language_instruction string 1 Natural language command describing the task
observation.ee_pose float32 7 Source robot's eef position
observation.google_robot.base_orientation float32 1 Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.google_robot.base_position float32 3 Base translation applied so the trajectory remains achievable
observation.google_robot.ee_error float32 7 The eef difference between the augmented google_robot robot and the original robot
observation.google_robot.ee_pose float32 7 The eef position of google_robot robot
observation.google_robot.joints float32 8 The joint position of google_robot robot
observation.jaco.base_orientation float32 1 Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.jaco.base_position float32 3 Base translation applied so the trajectory remains achievable
observation.jaco.ee_error float32 7 The eef difference between the augmented jaco robot and the original robot
observation.jaco.ee_pose float32 7 The eef position of jaco robot
observation.jaco.joints float32 7 The joint position of jaco robot
observation.joints float32 8 Joint angle of source robot
observation.kinova3.base_orientation float32 1 Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.kinova3.base_position float32 3 Base translation applied so the trajectory remains achievable
observation.kinova3.ee_error float32 7 The eef difference between the augmented kinova3 robot and the original robot
observation.kinova3.ee_pose float32 7 The eef position of kinova3 robot
observation.kinova3.joints float32 8 The joint position of kinova3 robot
observation.kuka_iiwa.base_orientation float32 1 Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.kuka_iiwa.base_position float32 3 Base translation applied so the trajectory remains achievable
observation.kuka_iiwa.ee_error float32 7 The eef difference between the augmented kuka_iiwa robot and the original robot
observation.kuka_iiwa.ee_pose float32 7 The eef position of kuka_iiwa robot
observation.kuka_iiwa.joints float32 8 The joint position of kuka_iiwa robot
observation.sawyer.base_orientation float32 1 Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.sawyer.base_position float32 3 Base translation applied so the trajectory remains achievable
observation.sawyer.ee_error float32 7 The eef difference between the augmented sawyer robot and the original robot
observation.sawyer.ee_pose float32 7 The eef position of sawyer robot
observation.sawyer.joints float32 8 The joint position of sawyer robot
observation.state float32 15 Copy of the state field in source robot's RLDS dataset
observation.ur5e.base_orientation float32 1 Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.ur5e.base_position float32 3 Base translation applied so the trajectory remains achievable
observation.ur5e.ee_error float32 7 The eef difference between the augmented ur5e robot and the original robot
observation.ur5e.ee_pose float32 7 The eef position of ur5e robot
observation.ur5e.joints float32 7 The joint position of ur5e robot
observation.widowX.base_orientation float32 1 Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.widowX.base_position float32 3 Base translation applied so the trajectory remains achievable
observation.widowX.ee_error float32 7 The eef difference between the augmented widowX robot and the original robot
observation.widowX.ee_pose float32 7 The eef position of widowX robot
observation.widowX.joints float32 7 The joint position of widowX robot
observation.xarm7.base_orientation float32 1 Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.xarm7.base_position float32 3 Base translation applied so the trajectory remains achievable
observation.xarm7.ee_error float32 7 The eef difference between the augmented xarm7 robot and the original robot
observation.xarm7.ee_pose float32 7 The eef position of xarm7 robot
observation.xarm7.joints float32 8 The joint position of xarm7 robot
task_index int64 1 Integer ID of the high-level task this episode/frame belongs to.
timestamp float32 1 Time stamp of the current frame within the episode (in second).

Website

Paper

  • Not available.

Citation Policy

If you use OXE-AugE datasets, please cite both our dataset and the upstream datasets.

Upstream Dataset Citation (original dataset)

@inproceedings{rosete2022tacorl,
    author = {Erick Rosete-Beas and Oier Mees and Gabriel Kalweit and Joschka Boedecker and Wolfram Burgard},
    title = {Latent Plans for Task Agnostic Offline Reinforcement Learning},
    journal = {Proceedings of the 6th Conference on Robot Learning (CoRL)},
    year = {2022}
}
@inproceedings{mees23hulc2,
    title={Grounding  Language  with  Visual  Affordances  over  Unstructured  Data},
    author={Oier Mees and Jessica Borja-Diaz and Wolfram Burgard},
    booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
    year={2023},
    address = {London, UK}
}

OXE-AugE Dataset Citation (ours)

@misc{
  ji2025oxeaug,
  title  = {OXE-AugE: A Large-Scale Robot Augmentation of OXE for Scaling Cross-Embodiment Policy Learning},
  author = {Ji, Guanhua and Polavaram, Harsha and Chen, Lawrence Yunliang and Bajamahal, Sandeep and Ma, Zehan and Adebola, Simeon and Xu, Chenfeng and Goldberg, Ken},
  year   = {2025},
  note   = {Manuscript}
}