new_setup_test2_20260724_174359

该数据集由LeRobot创建，是一个机器人技术数据集，专门用于机器人控制和学习任务。数据集包含18个回合，总计15812帧数据，采样频率为30fps。数据特征包括：动作（6维浮点数组，表示机器人关节位置，包括肩部平移、肩部抬升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置）、观测状态（6维浮点数组，与动作相同，提供机器人当前状态信息）、两个图像观测（视频格式，分辨率为480x640x3，编码为av1，30fps，提供视觉输入）、时间戳、帧索引、回合索引等。数据集结构以Parquet文件存储，总数据文件大小为100MB，视频文件大小为200MB，机器人类型为so_follower，适用于训练和评估机器人控制模型。This dataset is created by LeRobot and is a robotics dataset specifically designed for robot control and learning tasks. It contains 18 episodes, totaling 15812 frames with a sampling frequency of 30fps. Data features include: actions (a 6-dimensional floating-point array representing robot joint positions, including shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position), observation states (a 6-dimensional floating-point array, identical to actions, providing current robot state information), two image observations (video format with a resolution of 480x640x3, encoded as av1 at 30fps, providing visual input), timestamps, frame indices, episode indices, etc. The dataset is stored in Parquet format, with a total data file size of 100MB and video file size of 200MB. The robot type is so_follower, and it is suitable for training and evaluating robot control models.