open-cloth/full-second-bonus-fold

该数据集由LeRobot创建，是一个机器人操作数据集，专门用于训练和评估机器人控制模型。数据集包含机器人的动作指令（如肩部、肘部、腕部和夹爪的位置控制）、观察状态（与动作相同的关节位置）以及来自夹爪摄像头的图像观测（480x640分辨率，RGB格式）。数据以30fps的帧率采集，总共有275个episodes和211,313帧，覆盖单一任务。数据集格式为parquet文件，适用于机器人学习和模仿学习任务，机器人类型为so_follower。

This dataset was created using LeRobot and is a robotics manipulation dataset designed for training and evaluating robot control models. It includes robot actions (e.g., positions for shoulder, elbow, wrist, and gripper joints), observation states (same joint positions as actions), and image observations from a gripper camera (480x640 resolution, RGB format). Data is collected at 30 fps, with a total of 275 episodes and 211,313 frames, covering a single task. The dataset is stored in parquet format and is suitable for robotics learning and imitation learning tasks, with the robot type being so_follower.