task1

该数据集是一个机器人学数据集，使用LeRobot框架创建，专门针对so_follower机器人类型。它包含30个episodes，总计21813帧，以parquet文件格式存储，并附带视频文件。数据特征包括机器人的6维动作（如肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部滚动和夹爪位置）和状态观察（相同关节位置），以及前端摄像头图像（分辨率为480x640，30帧/秒，RGB通道）。此外，还包含时间戳、帧索引、episode索引、任务索引等元数据。数据集用于训练和评估机器人控制任务，适用于强化学习或模仿学习场景。

This dataset is a robotics dataset created using LeRobot, specifically for the so_follower robot type. It contains 30 episodes, totaling 21813 frames, stored in parquet file format and accompanied by video files. The data features include the robots 6-dimensional actions (such as shoulder translation, shoulder lift, elbow bend, wrist bend, wrist roll, and gripper position) and state observations (same joint positions), as well as front camera images (resolution 480x640, 30 frames per second, RGB channels). Additionally, it includes metadata such as timestamps, frame indices, episode indices, and task indices. The dataset is used for training and evaluating robot control tasks, suitable for reinforcement learning or imitation learning scenarios.