MateoTaylor/Testing3

这是一个由LeRobot创建的机器人数据集，包含50个episodes和9489帧数据，适用于机器人控制任务。数据集以parquet格式存储，包含动作（9维浮点数组，表示机器人关节位置和速度）、观测状态（9维浮点数组，与动作相同）、前视摄像头图像（480x640x3视频格式）和腕部摄像头图像（640x480x3视频格式），以及时间戳、帧索引、episode索引等元数据。数据采样率为30fps，总数据文件大小为100MB，视频文件大小为200MB，主要用于机器人学习和仿真。This is a robotics dataset created using LeRobot, containing 50 episodes and 9489 frames, suitable for robot control tasks. The dataset is stored in parquet format and includes actions (9-dimensional float arrays representing robot joint positions and velocities), observation states (9-dimensional float arrays, same as actions), front camera images (480x640x3 video format), wrist camera images (640x480x3 video format), as well as metadata such as timestamps, frame indices, and episode indices. The data is sampled at 30fps, with a total data file size of 100MB and video file size of 200MB, primarily used for robot learning and simulation.