stevenworkspace/eval_take_9

该数据集由LeRobot创建，专注于机器人技术领域，具体针对mobileai_robot类型。数据集包含1个完整episode，总计689帧数据，覆盖1个任务。数据以parquet文件格式存储，视频文件以mp4格式存储，帧率为30fps。特征包括动作数据（16维浮点数组，表示左右关节位置和速度）、观测状态（与动作相同的16维数组），以及来自三个摄像头的图像观测（cam_high、cam_left_wrist、cam_right_wrist），每个图像分辨率为480x640，3通道彩色视频。此外，还包含时间戳、帧索引、episode索引等元数据。数据集用于机器人学习和控制任务，支持训练和评估。

This dataset was created using LeRobot and focuses on robotics, specifically for the mobileai_robot type. It contains 1 total episode with 689 frames, covering 1 task. Data is stored in parquet files, and video files are in mp4 format with a frame rate of 30fps. Features include action data (a 16-dimensional float32 array representing left and right joint positions and velocities), observation state (a similar 16-dimensional array), and image observations from three cameras (cam_high, cam_left_wrist, cam_right_wrist), each with a resolution of 480x640 and 3-channel color video. Additionally, metadata such as timestamp, frame index, and episode index are included. The dataset is intended for robot learning and control tasks, supporting training and evaluation.