遇见数据集

wuc1/bi_so101_flatten-and-fold-the-rag-advantage-labeled-3cam-merged

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Hugging Face2026-05-12 更新2026-05-31 收录
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该数据集是一个机器人学数据集,由LeRobot创建,专注于双臂机器人(bi_so_follower)的操作任务。数据集包含66个总剧集和253,899个总帧,涉及两个不同的任务。特征包括:动作数据(12个浮点数,表示左右机械臂的关节位置,如肩部、肘部、腕部和夹爪的位置)、观察状态(与动作类似的特征)、以及来自三个摄像头的视频观测(left_camera1、left_camera3和right_camera2,每个摄像头提供分辨率为480x640、30fps的RGB视频)。此外,还包括时间戳、帧索引、剧集索引、索引和任务索引等元数据。数据以Parquet格式存储,视频以MP4格式存储,适用于机器人控制、模仿学习或强化学习等应用场景。

This is a robotics dataset created by LeRobot, focusing on manipulation tasks of a dual-arm robot (bi_so_follower). It contains a total of 66 episodes and 253,899 frames, covering two distinct tasks. The dataset's features include: action data (12 floating-point numbers representing the joint positions of the left and right robotic arms, such as the positions of shoulders, elbows, wrists and grippers), observation states (features similar to the action data), and video observations from three cameras (left_camera1, left_camera3 and right_camera2). Each camera provides RGB videos with a resolution of 480×640 and a frame rate of 30fps. Additionally, it includes metadata such as timestamps, frame indices, episode indices, indexes and task indices. The data is stored in Parquet format, while the videos are stored in MP4 format, and it is applicable to application scenarios such as robot control, imitation learning or reinforcement learning.

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