test_dataset_Samer_50Eps_12.05

这是一个使用LeRobot创建的机器人数据集，专门用于机器人学习任务。数据集基于UR5e Schunk机器人平台，包含1个episode、225帧和1个任务。数据以parquet格式存储，总数据大小为100MB，视频大小为200MB，帧率为15fps。数据集特征包括：前视和侧视图像（视频格式，分辨率480x640，3通道，使用AV1编解码器）、观察状态（7维浮点数，表示x、y、z位置、u、v、w姿态和夹爪状态）、动作（7维浮点数，与观察状态维度相同）、时间戳、帧索引、episode索引、索引和任务索引。数据分割为训练集（从0到1）。该数据集适用于机器人控制、模仿学习或强化学习等研究。

This is a robot dataset created using LeRobot, specifically designed for robot learning tasks. The dataset is based on the UR5e Schunk robot platform and includes 1 episode, 225 frames, and 1 task. Data is stored in parquet format, with a total data size of 100MB, video size of 200MB, and a frame rate of 15fps. Dataset features include: front and side view images (video format, resolution 480x640, 3 channels, using AV1 codec), observation states (7-dimensional floating-point numbers representing x, y, z positions, u, v, w attitudes, and gripper state), actions (7-dimensional floating-point numbers, same dimension as observation states), timestamps, frame index, episode index, index, and task index. The data is split into a training set (from 0 to 1). This dataset is suitable for research in robot control, imitation learning, or reinforcement learning.