TOTO Augmented
Collection
10 items
•
Updated
Datasets:
observation.widowX.joints
listlengths 7
7
| observation.widowX.ee_pose
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7
| observation.widowX.base_position
listlengths 3
3
| observation.widowX.base_orientation
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0
| observation.widowX.ee_error
listlengths 7
7
| observation.sawyer.joints
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8
| observation.sawyer.ee_pose
listlengths 7
7
| observation.sawyer.base_position
listlengths 3
3
| observation.sawyer.base_orientation
float32 0
0
| observation.sawyer.ee_error
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7
| observation.ur5e.joints
listlengths 7
7
| observation.ur5e.ee_pose
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| observation.ur5e.base_position
listlengths 3
3
| observation.ur5e.base_orientation
float32 0
0
| observation.ur5e.ee_error
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7
| observation.google_robot.joints
listlengths 8
8
| observation.google_robot.ee_pose
listlengths 7
7
| observation.google_robot.base_position
listlengths 3
3
| observation.google_robot.base_orientation
float32 0
0
| observation.google_robot.ee_error
listlengths 7
7
| observation.jaco.joints
listlengths 7
7
| observation.jaco.ee_pose
listlengths 7
7
| observation.jaco.base_position
listlengths 3
3
| observation.jaco.base_orientation
float32 0
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| observation.jaco.ee_error
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7
| observation.kinova3.joints
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8
| observation.kinova3.ee_pose
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7
| observation.kinova3.base_position
listlengths 3
3
| observation.kinova3.base_orientation
float32 0
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| observation.kinova3.ee_error
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7
| observation.kuka_iiwa.joints
listlengths 8
8
| observation.kuka_iiwa.ee_pose
listlengths 7
7
| observation.kuka_iiwa.base_position
listlengths 3
3
| observation.kuka_iiwa.base_orientation
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| observation.kuka_iiwa.ee_error
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| observation.xarm7.joints
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8
| observation.xarm7.ee_pose
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| observation.xarm7.base_position
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3
| observation.xarm7.base_orientation
float32 0
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| observation.xarm7.ee_error
listlengths 7
7
| natural_language_instruction
stringclasses 1
value | observation.state
listlengths 7
7
| observation.joints
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8
| observation.ee_pose
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7
| timestamp
float32 0
18.8
| frame_index
int64 0
565
| episode_index
int64 0
99
| index
int64 0
30.7k
| task_index
int64 0
0
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End of preview. Expand
in Data Studio
toto_train_100_200_augmented
Overview
- Codebase version:
v3.0 - Robots: google_robot, images, jaco, kinova3, kuka_iiwa, sawyer, ur5e, widowX, xarm7
- FPS: 30
- Episodes: 100
- Frames: 30,694
- Splits:
train:0:100
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 |
480×640×3 |
Augmented image for google_robot robot |
observation.images.image |
video |
480×640×3 |
Source robot's image from original dataset |
observation.images.jaco |
video |
480×640×3 |
Augmented image for jaco robot |
observation.images.kinova3 |
video |
480×640×3 |
Augmented image for kinova3 robot |
observation.images.kuka_iiwa |
video |
480×640×3 |
Augmented image for kuka_iiwa robot |
observation.images.sawyer |
video |
480×640×3 |
Augmented image for sawyer robot |
observation.images.ur5e |
video |
480×640×3 |
Augmented image for ur5e robot |
observation.images.widowX |
video |
480×640×3 |
Augmented image for widowX robot |
observation.images.xarm7 |
video |
480×640×3 |
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 |
7 |
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
- 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{zhou2023train,
author={Zhou, Gaoyue and Dean, Victoria and Srirama, Mohan Kumar and Rajeswaran, Aravind and Pari, Jyothish and Hatch, Kyle and Jain, Aryan and Yu, Tianhe and Abbeel, Pieter and Pinto, Lerrel and Finn, Chelsea and Gupta, Abhinav},
booktitle={2023 IEEE International Conference on Robotics and Automation (ICRA)},
title={Train Offline, Test Online: A Real Robot Learning Benchmark},
year={2023},
}
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}
}
- Downloads last month
- 19
Size of downloaded dataset files:
30.8 MB
Size of the auto-converted Parquet files:
30.8 MB
Number of rows:
30,694