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CLVR Jaco Play Dataset

The CLVR Jaco Play Dataset focuses on the tele‑operation robotics domain. Released in 2023 by research teams from the University of Southern California and KAIST, it provides 1,085 tele‑operated Jaco 2 robot segments with accompanying language annotations. The dataset is valuable for researchers and developers working on robot tele‑operation, natural language processing, and human‑computer interaction.

Updated 4/25/2023
github

Description

CLVR Jaco Play Dataset Overview

Basic Information

  • Name: CLVR Jaco Play Dataset
  • Number of Segments: 1,085 remote‑operated robot segments
  • Content: Language annotations
  • Data Collection Frequency: 10 Hz

Data Download

Data Structure

  • Observations:
    • front_cam_ob: Observation from a third‑person camera
    • mount_cam_ob: Observation from a fixed camera
    • ee_cartesian_pos_ob: End‑effector Cartesian position (first 3 elements are position, last 4 are orientation as a quaternion)
    • ee_cartesian_vel_ob: End‑effector Cartesian velocity (first 3 elements are positional velocity, last 3 are angular velocity in roll‑pitch‑yaw format)
    • joint_pos_ob: Joint positions of the Jaco arm (only the last 2 elements correspond to the gripper joint)
  • Action Data:
    • First 3 elements are Cartesian increments
    • 4th element is a label: 0 (open gripper), 1 (no gripper movement), 2 (close gripper)
  • Termination Flag: 1 at the end of each skill
  • Prompt: Natural language description of the goal
  • Reward: 1 at the end of each skill

Citation

bibtex @software{dass2023jacoplay, author = {Dass, Shivin and Yapeter, Jullian and Zhang, Jesse and Zhang, Jiahui and Pertsch, Karl and Nikolaidis, Stefanos and Lim, Joseph J.}, title = {CLVR Jaco Play Dataset}, url = {https://github.com/clvrai/clvr_jaco_play_dataset}, version = {1.0.0}, year = {2023} }

License

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Topics

Robot Teleoperation
Natural Language Processing

Source

Organization: github

Created: 4/25/2023

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