mcaniot/toppingsV4_task_env

该数据集是使用LeRobot创建的机器人学数据集，包含377个episodes和243,486帧数据，涵盖2个任务。数据以parquet格式存储，视频以mp4格式存储，帧率为30fps。数据集的特征包括观察状态（如机器人右臂的7个电机测量值）、动作（如机器人右臂的7个电机目标值）、图像观察（来自头戴RGB相机，分辨率为480x640，3通道）、时间戳、帧索引、episode索引、任务索引以及环境状态（如任务相关变量）。数据集仅包含训练分割，数据文件总大小为100MB，视频文件总大小为200MB。This dataset is a robotics dataset created using LeRobot, containing 377 episodes and 243,486 frames, covering 2 tasks. The data is stored in parquet format, and videos are stored in mp4 format with a frame rate of 30fps. The dataset features include observation state (e.g., 7 motor measurements for the right arm), action (e.g., 7 motor targets for the right arm), image observation (from a head-mounted RGB camera with a resolution of 480x640, 3 channels), timestamp, frame index, episode index, task index, and environment state (e.g., task-related variables). The dataset only includes a training split, with a total data file size of 100MB and a total video file size of 200MB.