klvarshaa/so101_arrange_table_50ep_v2_20260526_164131

该数据集由LeRobot创建，专注于机器人技术任务，特别是针对SO101 Arrange Table场景。数据集包含13个总集数和23254个总帧数，记录了机器人（类型为so_follower）的动作和观察状态。动作数据包括肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部滚动和夹爪位置，共6个浮点数值。观察状态包括机器人关节位置（与动作相同）以及从顶部、侧面和腕部摄像头捕获的视频数据，视频分辨率为480x640，帧率为30fps，编码为AV1。数据集还包含时间戳、帧索引、集索引、任务索引等元数据。数据以Parquet文件格式存储，总数据文件大小为100MB，视频文件大小为200MB，适用于机器人学习、控制算法训练等应用。This dataset was developed by LeRobot, focusing on robotics tasks, particularly the SO101 Arrange Table scenario. It contains 13 total episodes and 23,254 total frames, recording the actions and observation states of the so_follower-type robot. The action data consists of 6 floating-point values, including shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist roll, and gripper position. The observation states include the robot's joint positions (consistent with the action data) and video footage captured by top, side, and wrist-mounted cameras. The videos have a resolution of 480×640, a frame rate of 30 fps, and are encoded in AV1. Additionally, the dataset includes metadata such as timestamps, frame indices, episode indices, and task indices. The data is stored in Parquet file format, with a total raw data size of 100 MB and a total video file size of 200 MB. This dataset is applicable to applications such as robotics learning and control algorithm training.