H2Ozone/green

该数据集是一个机器人数据集，专门用于so_follower类型机器人，由LeRobot工具创建。数据集包含100个episodes，总计29332帧，数据以parquet文件格式存储，并附带视频文件。数据集结构包括动作特征（如肩部、肘部、腕部和夹爪的位置）、观测状态特征（与动作特征相同）、以及来自侧面和顶部视角的图像观测（视频格式，分辨率480x640，3通道，帧率30fps）。此外，还包含时间戳、帧索引、episode索引等元数据。数据集适用于机器人控制、模仿学习或强化学习任务，支持多模态输入（状态和视觉数据）。

This dataset is a robotics dataset specifically designed for so_follower type robots, created using the LeRobot tool. It contains 100 episodes with a total of 29,332 frames, stored in parquet file format and accompanied by video files. The dataset structure includes action features (such as positions of shoulder, elbow, wrist, and gripper), observation state features (same as action features), and image observations from side and top views (in video format with 480x640 resolution, 3 channels, and 30 fps frame rate). Additionally, it includes metadata such as timestamps, frame indices, and episode indices. The dataset is suitable for robotics control, imitation learning, or reinforcement learning tasks, supporting multimodal inputs (state and visual data).