Datasets:

ember-lab-berkeley
/

robocasa365-target-atomic

license: mit
task_categories:
  - robotics
tags:
  - LeRobot
  - robocasa
  - robocasa365
configs:
  - config_name: default
    data_files: data/*/*.parquet

Target (Human) — atomic-seen

Human teleoperation data for 18 atomic tasks (500 demos/task) recorded in 10 held-out target kitchens. All tasks are also represented in the pretraining datasets ('atomic-seen').

Part of the RoboCasa365 collection. Flat LeRobot v3.0 mirror of RoboCasa365 — standard layout, drop-in loadable.

Stats

Episodes: 9,126
Frames: 2,231,347 (20 fps → 31 h)
Tasks: 231 (natural-language phrasings; underlying RoboCasa task classes: 18)
Cameras: 3 × 256×256 h264 video (robot0_agentview_left / _right / _eye_in_hand)
Robot: PandaOmron (Panda 7-DoF arm + Omron mobile base + torso lift)

Loading

from lerobot.datasets.lerobot_dataset import LeRobotDataset
ds = LeRobotDataset("ember-lab-berkeley/robocasa365-target-atomic")

Feature schema (shared across all 6 robocasa365 repos)

observation.state: float64[16] — base_pos(3) + base_quat(4) + eef_pos_rel(3) + eef_quat_rel(4) + gripper_qpos(2)
action: float64[12] — base_motion(4) + control_mode(1) + eef_delta_pos(3) + eef_delta_aa(3) + gripper(1)
- control_mode convention: -1 = arm active (eef delta + gripper drive), +1 = base active (base_motion drives). Source of truth: robosuite.controllers.composite.HybridMobileBase.
observation.images.robot0_agentview_left / _right / _eye_in_hand: video, 256×256×3

License

MIT, inherited from upstream RoboCasa365.

Citation

RoboCasa365 paper (ICLR 2026)