eval_taken_3

该数据集是使用LeRobot创建的，专为机器人学习任务设计。它包含一个移动AI机器人的数据，总共有1个训练集，包含1个任务和2777帧数据，帧率为30 FPS。数据以parquet格式存储，视频以MP4格式存储。数据集的特征包括：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维状态）、以及来自三个摄像头的图像观测（cam_high、cam_left_wrist、cam_right_wrist），每个视频分辨率为480x640像素，3通道，使用AV1编解码器。此外，还包括时间戳、帧索引、任务索引等元数据。数据集适用于机器人控制、强化学习和计算机视觉应用。This dataset is created using LeRobot and is specifically designed for robot learning tasks. It contains data from a mobile AI robot, with a total of 1 training set comprising 1 task and 2777 frames at a frame rate of 30 FPS. The data is stored in parquet format, and videos are stored in MP4 format. The dataset features include: action data (a 16-dimensional floating-point array representing left and right joint positions and velocities), observation states (a 16-dimensional state identical to the actions), and image observations from three cameras (cam_high, cam_left_wrist, cam_right_wrist), each video with a resolution of 480x640 pixels, 3 channels, using the AV1 codec. Additionally, metadata such as timestamps, frame indices, and task indices are included. The dataset is suitable for applications in robot control, reinforcement learning, and computer vision.