eval_taken_13

该数据集是一个机器人数据集，使用LeRobot工具创建，专门用于移动AI机器人（mobileai_robot）。数据集包含1个任务、1个episode和2308帧数据，帧率为30fps。数据以parquet文件（总大小100MB）和视频文件（总大小200MB）形式存储，分为训练集（splits: train）。特征包括动作（action）和观察状态（observation.state），均包含16个浮点数值，表示左右机械臂的关节位置（如left_joint_0.pos到right_joint_5.pos）以及速度和角速度（x.vel, theta.vel）。此外，观察部分包含来自三个摄像头的图像数据：cam_high、cam_left_wrist和cam_right_wrist，每个视频分辨率为480x640，3通道，使用av1编解码器。其他元数据包括时间戳、帧索引、episode索引等。数据集适用于机器人学习和控制任务。This is a robotics dataset developed with the LeRobot toolkit, specifically tailored for the mobileai_robot platform. It encompasses 1 task, 1 episode, and 2308 frames of data, operating at a frame rate of 30 fps. The dataset is stored in two formats: Parquet files with a total size of 100 MB, and video files with a total size of 200 MB, with the data split into the training set (splits: train). The features include action and observation.state, both comprising 16 floating-point values that represent the joint positions of the left and right robotic arms (e.g., left_joint_0.pos through right_joint_5.pos), along with linear velocities and angular velocities (x.vel, theta.vel). Additionally, the observation module contains image data from three cameras: cam_high, cam_left_wrist, and cam_right_wrist. Each video stream has a resolution of 480×640, 3 color channels, and utilizes the AV1 codec. Additional metadata includes timestamps, frame indices, episode indices, and other relevant information. This dataset is applicable to robotics learning and control-related tasks.