robot-learning/ex2_all

该数据集是使用LeRobot创建的机器人技术数据集，专门用于机器人学习任务。数据集包含158个episodes，总计124,205帧，涉及2个不同的任务。机器人类型为so_follower。数据以parquet文件格式存储，视频文件为mp4格式，帧率为30fps，分辨率为480x640。数据集的特征包括动作（action，包含6个关节位置）、观测状态（observation.state，同样包含6个关节位置）、前摄像头图像（observation.images.front，为RGB视频）、时间戳（timestamp）、帧索引（frame_index）、episode索引（episode_index）、索引（index）和任务索引（task_index）。数据集仅包含训练集（train split），数据文件总大小为100MB，视频文件总大小为200MB。该数据集适用于机器人控制、强化学习或模仿学习等应用场景。This dataset is a robotics dataset created using LeRobot, designed for robot learning tasks. It contains 158 episodes, totaling 124,205 frames, and involves 2 distinct tasks. The robot type is so_follower. Data is stored in parquet file format, with video files in mp4 format, a frame rate of 30fps, and a resolution of 480x640. Dataset features include action (with 6 joint positions), observation state (also with 6 joint positions), front camera images (observation.images.front, as RGB video), timestamp, frame index, episode index, index, and task index. The dataset only includes a training set (train split), with a total data file size of 100MB and a total video file size of 200MB. This dataset is suitable for applications such as robot control, reinforcement learning, or imitation learning.