SortPaper_20260513_162720

该数据集由LeRobot创建，专用于机器人学任务，特别是分拣操作（SortPaper）。它包含一个总时长为790帧的单个episode，帧率为30fps。数据集特征包括动作（action）和观测（observation），其中动作和状态观测均包含6个浮点数值，分别对应机械臂的关节位置：肩部平移、肩部抬升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置。观测部分还包括来自前部和顶部摄像头的图像数据，分辨率为480x640，3通道，视频编码为av1。此外，数据集提供时间戳、帧索引、episode索引等元数据。机器人类型为so_follower，数据以parquet格式存储，总数据文件大小为100MB，视频文件大小为200MB。该数据集适用于机器人控制、模仿学习或强化学习等任务。

This dataset is created by LeRobot for robotics tasks, specifically for sorting operations (SortPaper). It contains a single episode with a total duration of 790 frames at a frame rate of 30fps. Features include actions and observations, where both actions and state observations consist of 6 floating-point values corresponding to the joint positions of the robotic arm: shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position. Observations also include image data from front and top cameras, with a resolution of 480x640, 3 channels, and video encoding in av1. Additionally, the dataset provides metadata such as timestamps, frame indices, and episode indices. The robot type is so_follower, and the data is stored in parquet format, with a total data file size of 100MB and video file size of 200MB. This dataset is suitable for tasks like robot control, imitation learning, or reinforcement learning.