open-cloth/so101-full-fold-merged

该数据集由LeRobot创建，用于机器人技术领域，具体涉及机器人跟随任务。数据集包含118个总剧集和105071个总帧数，机器人类型为“so_follower”。数据以.parquet格式存储，视频以.mp4格式存储，帧率为30fps。特征包括动作（包含肩部平移、肩部升降、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置等6个浮点数值）、观察状态（与动作相同的6个浮点数值）、夹爪图像（分辨率为480x640的RGB视频）、时间戳、帧索引、剧集索引、索引和任务索引。数据集适用于机器人控制、模仿学习等研究。

This dataset was created by LeRobot for robotics applications, specifically involving robot following tasks. It contains a total of 118 episodes and 105071 frames, with a robot type of so_follower. Data is stored in .parquet format, and videos are in .mp4 format, with a frame rate of 30fps. Features include action (6 float32 values representing shoulder pan position, shoulder lift position, elbow flex position, wrist flex position, wrist roll position, and gripper position), observation state (same 6 float32 values as action), gripper images (RGB video with resolution 480x640), timestamp, frame index, episode index, index, and task index. The dataset is suitable for research in robot control, imitation learning, and related fields.