eval_block_picking_570

该数据集是使用LeRobot创建的，主要用于机器人技术领域。数据集包含2个总片段，945个总帧数，1个总任务和4个总视频。数据集中包含动作、观察状态、图像和时间戳等信息。动作和观察状态的数据类型为float32，形状为6，分别对应机器人的不同关节位置。图像数据包括手腕左侧和侧面的视频，分辨率为480x640，3个通道，帧率为30fps。数据集的结构详细描述了数据的类型、形状和名称，以及视频的详细信息。

This dataset was developed using LeRobot, and is primarily intended for the field of robotics. It contains a total of 2 segments, 945 frames, 1 task, and 4 videos. The dataset includes information such as actions, observation states, images, and timestamps. The actions and observation states are of float32 data type, with a shape of 6, which respectively correspond to the different joint positions of the robot. The image data consists of videos captured from the left wrist and the side of the robot, with a resolution of 480x640, 3 channels, and a frame rate of 30 fps. The structure of the dataset elaborates on the data types, shapes, names, as well as the detailed specifications of the videos.