test3_20260701_152719

该数据集是一个机器人学数据集，使用LeRobot工具创建，包含5个总片段，共计2253帧数据，涉及一个任务。数据特征由6维浮点动作（包括肩部平移、肩部提升、肘部弯曲、手腕弯曲、手腕滚动和夹爪位置）和6维浮点观测状态（与动作维度相同）组成。观测图像来自手腕摄像头和顶部摄像头捕获的视频，分辨率为480x640，3通道，帧率为30fps，使用av1编解码器。此外，数据集还包含时间戳、帧索引、片段索引、索引和任务索引等元数据。机器人类型为so_follower，数据以parquet文件（总大小100MB）和视频文件（总大小200MB）格式存储，主要用于训练任务。

This dataset is a robotics dataset created using the LeRobot tool. It contains 5 total segments, comprising 2253 frames of data, and involves one task. The data features include 6-dimensional floating-point actions (such as shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist roll, and gripper position) and 6-dimensional floating-point observation states (with the same dimensions as the actions). Observation images consist of videos captured by wrist and top cameras, with a resolution of 480x640, 3 channels, a frame rate of 30fps, and using the av1 codec. Additionally, the dataset includes metadata such as timestamps, frame indices, segment indices, indices, and task indices. The robot type is so_follower, and the data is stored in parquet files (total size 100MB) and video files (total size 200MB), intended for training tasks.