RobotLearningProject/fullmerge_allDataDagger2

这是一个由LeRobot创建的数据集，专注于机器人学习任务，特别是针对“so_follower”机器人类型。数据集包含309个episodes，总计110605帧，涉及2个任务。数据以parquet格式存储，视频文件以mp4格式存储，帧率为30fps。特征包括动作（6个浮点值，对应机器人的关节位置）、观测状态（6个浮点值，同样对应关节位置）、来自前置摄像头的图像观测（分辨率为720x1280，3通道彩色视频），以及时间戳、帧索引、episode索引、索引和任务索引等元数据。数据集适用于训练和评估机器人控制算法，支持强化学习或模仿学习任务。

This dataset was created using LeRobot and focuses on robotics learning tasks, specifically for the so_follower robot type. It contains 309 episodes, with a total of 110605 frames, covering 2 tasks. The data is stored in parquet format, and video files are in mp4 format with a frame rate of 30fps. Features include actions (6 float values corresponding to robot joint positions), observation states (6 float values also for joint positions), image observations from a front camera (resolution 720x1280, 3-channel color video), and metadata such as timestamp, frame index, episode index, index, and task index. The dataset is suitable for training and evaluating robot control algorithms, supporting tasks like reinforcement learning or imitation learning.