AkshitMajorProjectMIR1_trial_20260701_114825

该数据集是一个机器人学习数据集，由LeRobot创建，用于支持机器人控制和模仿学习任务。数据集包含一个episode，总帧数为1797，帧率为30fps。数据特征包括动作（action）和观察（observation）：动作由6个浮点数表示，对应机器人关节位置（如肩部平移、肩部提升、肘部弯曲、手腕弯曲、手腕旋转和夹爪位置）；观察包括状态（state，同样为6个关节位置）和图像（images），图像来自顶部（top）和手腕（wrist）摄像头，分辨率均为480x640，3通道彩色视频，编码为av1。数据集还包含时间戳、帧索引、episode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文件和视频文件格式存储，总数据大小约为100MB，视频文件大小约为200MB。该数据集适用于训练和评估机器人策略模型。

This dataset is a robot learning dataset created by LeRobot to support robot control and imitation learning tasks. It contains one episode with a total of 1797 frames at a frame rate of 30fps. The data features include action and observation: the action is represented by 6 floating-point numbers corresponding to robot joint positions (such as shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position); the observation includes state (also 6 joint positions) and images, with images from top and wrist cameras, each at a resolution of 480x640, 3-channel color video encoded as av1. The dataset also includes metadata such as timestamps, frame index, episode index, index, and task index. The robot type is so_follower, and the data is stored in parquet and video file formats, with a total data size of approximately 100MB and video file size around 200MB. This dataset is suitable for training and evaluating robot policy models.