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metadata
license: apache-2.0
task_categories:
  - robotics
tags:
  - libero
  - lerobot
  - embodied-ai
  - manipulation
pretty_name: RoboCerebra (LeRobot v2.1 Format)
size_categories:
  - 1G<n<10G

RoboCerebra (LeRobot v2.1 Format)

Dataset Description

This dataset is a converted version of RoboCerebra, now formatted for compatibility with the LeRobot ecosystem (v2.1).

While the official RoboCerebra dataset only provides HDF5 files and RLDS conversion methods, this version enables seamless training with VLA models within the LeRobot framework.

  • Original Dataset: RoboCerebra
  • Conversion Tool: any4lerobot
  • Format: LeRobot v2.1
  • Robot: Panda Robot (7-DOF Arm + Gripper)
  • Tasks: 10 long-term memory manipulation tasks.

Dataset Structure

The dataset follows the standard LeRobot v2.1 structure:

  • data/: Contains episode data in Parquet format.
  • meta/: Contains task definitions, statistics, and camera configurations.
  • videos/: (If included) High-quality task execution videos.

Key Observations/Actions

  • observation.images.agentview: 256x256 agent-view camera RGB.
  • observation.images.eye_in_hand: 256x256 wrist-mounted camera RGB.
  • observation.state: Robot joint positions and gripper state.
  • action: 7-DOF delta end-effector pose + gripper action.