gsethia08/part4-setup_cleanup_table

这是一个用于机器人手部操作的数据集，由LeRobot创建。数据集包含537个片段，总计451,335帧，涵盖24个不同任务，数据以30帧/秒的速率采集。主要特征包括：来自摄像头的视频观察（分辨率为1080x1920，RGB格式）、手部状态信息（如左右手腕和手指的坐标和旋转数据）、相机外参和内参、动作数据（48维向量）、语言指令（字符串类型）、时间戳、帧索引、片段索引等。数据集适用于机器人学习任务，如模仿学习或强化学习，旨在支持手部操作的视觉和状态控制研究。This dataset is designed for robotic hand manipulation and was created by LeRobot. It includes 537 episodes, totaling 451,335 frames, covering 24 distinct tasks, with data collected at 30 frames per second. Key features consist of: video observations from a camera (resolution 1080x1920, RGB format), hand state information (e.g., coordinates and rotations for left and right wrists and fingers), camera extrinsics and intrinsics, action data (48-dimensional vector), language instructions (string type), timestamps, frame indices, episode indices, and more. The dataset is suitable for robotic learning tasks, such as imitation learning or reinforcement learning, aiming to support research on visual and state-based control for hand manipulation.