so101_mi_tarea

该数据集是一个机器人领域的数据集，使用LeRobot创建，专门用于跟随者机器人（so_follower）任务。它包含50个完整的情节（episodes），总计30019帧数据。数据以parquet文件格式存储，视频文件为mp4格式。数据集的特征包括：动作数据（6维浮点数，表示肩部平移、肩部升降、肘部弯曲、手腕弯曲、手腕旋转和夹爪位置）、观察状态（与动作相同的6维关节位置）、两个摄像头图像观察（固定摄像头和手眼摄像头，均为480x640分辨率、3通道的RGB视频，帧率为30fps），以及时间戳、帧索引、情节索引、索引和任务索引等元数据。数据分割为训练集（涵盖所有50个情节）。

This dataset is a robotics dataset created using LeRobot, specifically designed for the follower robot (so_follower) task. It contains 50 complete episodes, totaling 30,019 frames of data. The data is stored in parquet file format, with video files in mp4 format. The dataset features include: action data (6-dimensional floating-point numbers representing shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position), observation states (6-dimensional joint positions identical to the actions), two camera image observations (a fixed camera and a hand-eye camera, both with 480x640 resolution, 3-channel RGB video, at 30fps frame rate), as well as metadata such as timestamps, frame indices, episode indices, indices, and task indices. The data is split into a training set (covering all 50 episodes).