test1

该数据集是一个机器人学数据集，由LeRobot工具创建，专门用于so_follower类型机器人的任务学习。数据集包含1个任务、1个完整集和633帧数据，以30帧每秒的速率采集。数据以Parquet格式存储，总数据文件大小为100MB，视频文件大小为200MB。特征包括机器人的动作（6个关节位置：肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置）、观测状态（相同6个关节位置）、前端摄像头图像（分辨率为480x640的3通道视频，使用AV1编解码器）、时间戳、帧索引、集索引、索引和任务索引。数据集适用于训练和评估机器人控制算法，强调动作-状态对和视觉观测的集成。

This dataset is a robotics dataset created by the LeRobot tool, specifically designed for task learning of so_follower type robots. It contains 1 task, 1 complete episode, and 633 frames of data, collected at a rate of 30 frames per second. The data is stored in Parquet format, with a total data file size of 100MB and a video file size of 200MB. Features include robot actions (6 joint positions: shoulder translation, shoulder lift, elbow bend, wrist bend, wrist rotation, and gripper position), observation states (same 6 joint positions), front camera images (3-channel video with a resolution of 480x640, using AV1 codec), timestamp, frame index, episode index, index, and task index. The dataset is suitable for training and evaluating robot control algorithms, emphasizing the integration of action-state pairs and visual observations.