viola_test_augmented

Overview

• Codebase version: v3.0
• Robots: google_robot, images, jaco, kinova3, kuka_iiwa, sawyer, ur5e, widowX, xarm7
• FPS: 20
• Episodes: 15
• Frames: 7,411
• Splits:
  • train: 0:15

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	224×224×3	Augmented image for google_robot robot
observation.images.image	video	224×224×3	Source robot's image from original dataset
observation.images.jaco	video	224×224×3	Augmented image for jaco robot
observation.images.kinova3	video	224×224×3	Augmented image for kinova3 robot
observation.images.kuka_iiwa	video	224×224×3	Augmented image for kuka_iiwa robot
observation.images.sawyer	video	224×224×3	Augmented image for sawyer robot
observation.images.ur5e	video	224×224×3	Augmented image for ur5e robot
observation.images.widowX	video	224×224×3	Augmented image for widowX robot
observation.images.xarm7	video	224×224×3	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	16	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

• Website page: https://oxe-auge.github.io/
• Project repository: https://github.com/GuanhuaJi/oxe-auge

Paper

• https://proceedings.mlr.press/v205/zhu23a.html

Citation Policy

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

Upstream Dataset Citation (original dataset)

@inproceedings{zhu2023viola,
  title     = {VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors},
  author    = {Zhu, Yifeng and Joshi, Abhishek and Stone, Peter and Zhu, Yuke},
  booktitle = {Proceedings of The 6th Conference on Robot Learning},
  series    = {Proceedings of Machine Learning Research},
  volume    = {205},
  pages     = {1199--1210},
  year      = {2023},
  publisher = {PMLR},
  url       = {https://proceedings.mlr.press/v205/zhu23a.html}
}

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}
}