VarunGiridhar3/libero40_libero_goal_play

该数据集使用LeRobot创建，是一个机器人学习数据集，专注于panda机器人的操作任务。数据集包含420个episodes，总计125260个frames，覆盖10个不同任务。数据以parquet文件格式存储，视频文件为mp4格式，帧率为10 fps。特征包括动作（7维浮点数组）、状态观测（如末端执行器位置、姿态和夹爪状态）、两个256x256 RGB图像观测、时间戳、帧索引、episode索引、任务索引等。数据集用于训练和评估机器人控制模型，支持强化学习和模仿学习任务。This dataset was created using LeRobot and is a robotics learning dataset focused on manipulation tasks with a panda robot. It contains 420 episodes, totaling 125260 frames, covering 10 different tasks. Data is stored in parquet files, with video files in mp4 format at 10 fps. Features include actions (7-dimensional float arrays), state observations (such as end-effector position, orientation, and gripper states), two 256x256 RGB image observations, timestamps, frame indices, episode indices, task indices, etc. The dataset is designed for training and evaluating robot control models, supporting reinforcement learning and imitation learning tasks.