CoolFace
Datasetpublic

oxe-auge/language_table_train_115000_120000_augmented

language_table_train_115000_120000_augmented Overview Codebase version: v3.0 Robots: google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e FPS: 10 Episodes: 5,000 Frames: 79,828 Splits: train: 0:5000 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… See the full description on the dataset page: https://huggingface.co/datasets/oxe-auge/language_table_train_115000_120000_augmented.

sourceHugging Facecc-by-4.0updated 10mo agoView on Hugging Face
0likes1.8kdownloads
Dataset Card

languagetabletrain115000120000_augmented

Overview

  • Codebase version: v3.0
  • Robots: googlerobot, images, jaco, kinova3, kukaiiwa, panda, sawyer, ur5e
  • FPS: 10
  • Episodes: 5,000
  • Frames: 79,828
  • Splits:
  • train: 0:5000

Data Layout

text
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

Featuredtypeshapedescription
observation.images.google_robotvideo360×640×3Augmented image for google_robot robot
observation.images.imagevideo360×640×3Source robot's image from original dataset
observation.images.jacovideo360×640×3Augmented image for jaco robot
observation.images.kinova3video360×640×3Augmented image for kinova3 robot
observation.images.kuka_iiwavideo360×640×3Augmented image for kuka_iiwa robot
observation.images.pandavideo360×640×3Augmented image for panda robot
observation.images.sawyervideo360×640×3Augmented image for sawyer robot
observation.images.ur5evideo360×640×3Augmented image for ur5e robot
episode_indexint641Index of the current episode within the dataset.
frame_indexint641Index of the current frame within its episode.
indexint641Global frame index across the whole dataset.
natural_language_instructionint32512Natural language command describing the task
observation.ee_posefloat327Source robot's eef position
observation.google_robot.base_orientationfloat321Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.google_robot.base_positionfloat323Base translation applied so the trajectory remains achievable
observation.google_robot.ee_errorfloat327The eef difference between the augmented google_robot robot and the original robot
observation.google_robot.ee_posefloat327The eef position of google_robot robot
observation.google_robot.jointsfloat328The joint position of google_robot robot
observation.jaco.base_orientationfloat321Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.jaco.base_positionfloat323Base translation applied so the trajectory remains achievable
observation.jaco.ee_errorfloat327The eef difference between the augmented jaco robot and the original robot
observation.jaco.ee_posefloat327The eef position of jaco robot
observation.jaco.jointsfloat327The joint position of jaco robot
observation.jointsfloat328Joint angle of source robot
observation.kinova3.base_orientationfloat321Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.kinova3.base_positionfloat323Base translation applied so the trajectory remains achievable
observation.kinova3.ee_errorfloat327The eef difference between the augmented kinova3 robot and the original robot
observation.kinova3.ee_posefloat327The eef position of kinova3 robot
observation.kinova3.jointsfloat328The joint position of kinova3 robot
observation.kuka_iiwa.base_orientationfloat321Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.kuka_iiwa.base_positionfloat323Base translation applied so the trajectory remains achievable
observation.kuka_iiwa.ee_errorfloat327The eef difference between the augmented kuka_iiwa robot and the original robot
observation.kuka_iiwa.ee_posefloat327The eef position of kuka_iiwa robot
observation.kuka_iiwa.jointsfloat328The joint position of kuka_iiwa robot
observation.panda.base_orientationfloat321Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.panda.base_positionfloat323Base translation applied so the trajectory remains achievable
observation.panda.ee_errorfloat327The eef difference between the augmented panda robot and the original robot
observation.panda.ee_posefloat327The eef position of panda robot
observation.panda.jointsfloat328The joint position of panda robot
observation.sawyer.base_orientationfloat321Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.sawyer.base_positionfloat323Base translation applied so the trajectory remains achievable
observation.sawyer.ee_errorfloat327The eef difference between the augmented sawyer robot and the original robot
observation.sawyer.ee_posefloat327The eef position of sawyer robot
observation.sawyer.jointsfloat328The joint position of sawyer robot
observation.statefloat322Copy of the state field in source robot's RLDS dataset
observation.ur5e.base_orientationfloat321Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.ur5e.base_positionfloat323Base translation applied so the trajectory remains achievable
observation.ur5e.ee_errorfloat327The eef difference between the augmented ur5e robot and the original robot
observation.ur5e.ee_posefloat327The eef position of ur5e robot
observation.ur5e.jointsfloat327The joint position of ur5e robot
task_indexint641Integer ID of the high-level task this episode/frame belongs to.
timestampfloat321Time stamp of the current frame within the episode (in second).

Website

Paper

Citation Policy

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

Upstream Dataset Citation (original dataset)

bibtex
@article{lynch2022interactive,
  title   = {Interactive Language: Talking to Robots in Real Time},
  author  = {Corey Lynch and Ayzaan Wahid and Jonathan Tompson and Tianli Ding and James Betker and Robert Baruch and Travis Armstrong and Pete Florence},
  journal = {arXiv preprint arXiv:2210.06407},
  year    = {2022},
  url     = {https://arxiv.org/abs/2210.06407}
}

OXE-AugE Dataset Citation (ours)

bibtex
@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}
}