projet3-eval1-bowl1-v1

该数据集是一个用于机器人控制的数据集，基于LeRobot平台创建。它包含40个episodes，总计18875帧，覆盖5个不同的任务。数据采集以30fps的帧率进行，存储为parquet格式文件，数据集总大小为100MB，视频文件大小为200MB。数据集特征包括：动作（一个6维浮点数组，表示机器人关节位置）、观测状态（另一个6维浮点数组，表示机器人关节位置）、手腕摄像头图像（分辨率为480x640x3的视频数据）、时间戳、帧索引、episode索引、索引和任务索引。该数据集适用于机器人学习和控制任务，特别针对so_follower类型的机器人，可用于训练和评估机器人控制算法。

This dataset is a robot control dataset created using LeRobot. It contains 40 episodes, with a total of 18875 frames, involving 5 tasks. Data is collected at a frame rate of 30fps, stored in parquet format files, with a total dataset size of 100MB and video file size of 200MB. The features of the dataset include actions (a 6-dimensional floating-point array representing robot joint positions), observation states (a 6-dimensional floating-point array representing robot joint positions), wrist camera images (video data with a resolution of 480x640x3), timestamps, frame indices, episode indices, indices, and task indices. The dataset is suitable for robot learning and control tasks, particularly for so_follower type robots.