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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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11
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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place green jalapeno chip bag into top drawer
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End of preview. Expand in Data Studio

fractal20220817_data_train_85000_87212_augmented

Overview

  • Codebase version: v3.0
  • Robots: images, jaco, kinova3, kuka_iiwa, panda, sawyer, ur5e, xarm7
  • FPS: 3
  • Episodes: 2,212
  • Frames: 95,758
  • Splits:
    • train: 0:2212

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.image video 256×320×3 Source robot's image from original dataset
observation.images.jaco video 256×320×3 Augmented image for jaco robot
observation.images.kinova3 video 256×320×3 Augmented image for kinova3 robot
observation.images.kuka_iiwa video 256×320×3 Augmented image for kuka_iiwa robot
observation.images.panda video 256×320×3 Augmented image for panda robot
observation.images.sawyer video 256×320×3 Augmented image for sawyer robot
observation.images.ur5e video 256×320×3 Augmented image for ur5e robot
observation.images.xarm7 video 256×320×3 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.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.panda.base_orientation float32 1 Rotation along z-axis CCW to make the robot not blocking the camera (mostly 0)
observation.panda.base_position float32 3 Base translation applied so the trajectory remains achievable
observation.panda.ee_error float32 7 The eef difference between the augmented panda robot and the original robot
observation.panda.ee_pose float32 7 The eef position of panda robot
observation.panda.joints float32 8 The joint position of panda 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.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

Citation Policy

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

Upstream Dataset Citation (original dataset)

@misc{googleblog_rt1_2022,
  author       = {Keerthana Gopalakrishnan and Kanishka Rao},
  title        = {RT-1: Robotics Transformer for real-world control at scale},
  howpublished = {Google Research Blog},
  year         = {2022},
  month        = {December},
  url          = {https://research.google/blog/rt-1-robotics-transformer-for-real-world-control-at-scale/}
}

OXE-AugE Dataset Citation (ours)

@misc{
  ji2025oxeauge,
  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},
  journal={arXiv preprint arXiv:2512.13100},
  year={2025}
}
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