yellow_pencill_20260618_203327

该数据集是一个机器人学数据集，使用LeRobot创建，专门用于机器人控制和学习任务。数据集包含30个总片段和9174个总帧，以parquet文件格式组织。特征包括6维浮点型动作和观察状态（对应肩部平移、肩部提升、肘部弯曲、手腕弯曲、手腕滚动和夹爪位置），以及工作空间相机图像（视频格式，分辨率为480x640，3通道，30帧/秒）。此外，还包含时间戳、帧索引、片段索引、索引和任务索引等元数据。机器人类型为so_follower，数据集总大小约为300MB（数据文件100MB，视频文件200MB）。数据用于训练和测试机器人控制模型，支持强化学习或模仿学习应用。This dataset is a robotics dataset created using LeRobot, specifically designed for robot control and learning tasks. It contains a total of 30 episodes and 9174 frames, organized in parquet file format. The features include 6-dimensional floating-point actions and observation states (corresponding to shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist roll, and gripper position), as well as workspace camera images (in video format, with a resolution of 480x640, 3 channels, and 30 frames per second). Additionally, it includes metadata such as timestamps, frame index, episode index, index, and task index. The robot type is so_follower, and the total dataset size is approximately 300MB (100MB for data files and 200MB for video files). The data is used for training and testing robot control models, supporting applications in reinforcement learning or imitation learning.