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该数据集是一个机器人学数据集，使用LeRobot工具创建，包含49个episodes和11742个frames。数据以parquet格式存储，特征包括：6维动作和状态（对应机器人的肩部平移、肩部升降、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置），以及来自头顶和腕部的视频观测（分辨率为480x640，帧率为30fps，编码为av1）。此外，还包含时间戳、帧索引、episode索引、任务索引等元数据。机器人类型为“so_follower”。数据集主要用于机器人控制任务，如模仿学习或强化学习。This dataset is a robotics dataset created using the LeRobot tool, containing 49 episodes and 11742 frames. The data is stored in parquet format, with features including: 6-dimensional actions and states (corresponding to the robots shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position), as well as video observations from overhead and wrist cameras (with a resolution of 480x640, a frame rate of 30fps, encoded as av1). Additionally, it includes metadata such as timestamps, frame index, episode index, and task index. The robot type is so_follower. The dataset is primarily used for robotics control tasks, such as imitation learning or reinforcement learning.