eval_taken_6

该数据集是一个机器人学数据集，使用LeRobot创建，专门用于MobileAI机器人。它包含一个训练集，总共有1个episode、2787帧和1个任务。数据以parquet文件格式存储，并包含视频文件。特征包括16维的动作和状态向量（如左右关节位置和速度），以及来自三个摄像头（高分辨率摄像头、左腕摄像头、右腕摄像头）的图像观察，每个图像分辨率为480x640像素，每秒30帧。数据集的结构还包括时间戳、帧索引、episode索引和任务索引等元数据，适用于机器人控制和模仿学习任务。This is a robotics dataset developed using LeRobot, specifically tailored for MobileAI robots. It includes a training set with a total of 1 episode, 2787 frames, and 1 task. The data is stored in Parquet file format and contains video files. The features consist of 16-dimensional action and state vectors (such as left and right joint positions and velocities), as well as image observations from three cameras: a high-resolution camera, a left wrist camera, and a right wrist camera. Each image has a resolution of 480×640 pixels and a frame rate of 30 frames per second. The dataset structure also encompasses metadata including timestamps, frame indices, episode indices, and task indices, making it applicable to robotics control and imitation learning tasks.