dataset-3_20260601_143041

这是一个使用LeRobot创建的机器人学数据集，专为机器人任务设计。数据集包含15个总集数，总计5604个帧，数据以parquet格式存储。数据特征包括动作（6个浮点值，表示机械臂的关节位置：肩部平移、肩部升降、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置）、观察状态（与动作相同的6个浮点值，表示机械臂的当前关节位置），以及两个视频观察：顶部摄像头和腕部摄像头，每个视频分辨率为480x640，帧率为30fps，采用h264编码。此外，数据集还包括时间戳、帧索引、集索引、索引和任务索引等字段。机器人类型为so_follower，所有数据被划分为训练集。数据集总数据文件大小为100MB，视频文件大小为200MB，适用于机器人控制、模仿学习或强化学习等应用场景。

This is a robotics dataset created using LeRobot, specifically designed for robot tasks. The dataset contains 15 total episodes, with a total of 5604 frames, stored in parquet format. Data features include actions (6 floating-point values representing the joint positions of the robotic arm: shoulder translation, shoulder lift, elbow bend, wrist bend, wrist rotation, and gripper position), observation states (the same 6 floating-point values as actions, indicating the current joint positions of the robotic arm), and two video observations: a top camera and a wrist camera, each with a resolution of 480x640, a frame rate of 30fps, and encoded in h264. Additionally, the dataset includes fields such as timestamps, frame index, episode index, index, and task index. The robot type is so_follower, and all data is divided into the training set. The total data file size is 100MB, and the video file size is 200MB, making it suitable for applications such as robot control, imitation learning, or reinforcement learning.