eval_robustness_e8_no1_2_100k

该数据集是使用LeRobot创建的，主要用于机器人技术领域。数据集包含30个集，共14775帧，60个视频，1个任务。数据集的结构包括动作、观察状态、观察图像（前视图和俯视图）、时间戳、帧索引、集索引、索引和任务索引等特征。动作特征包括6个浮点型数据，分别代表主肩部旋转、主肩部提升、主肘部弯曲、主腕部弯曲、主腕部滚动和主夹持器。观察图像特征包括前视图和俯视图，均为720x1280x3的视频数据，帧率为30fps。

This dataset was created using LeRobot, and is primarily intended for the field of robotics. It contains 30 episodes, with a total of 14775 frames across 60 videos, and focuses on one single task. The dataset structure includes features such as actions, observation states, observation images (front view and top-down view), timestamps, frame indices, episode indices, global indices, and task indices. The action feature consists of 6 floating-point values, which respectively represent main shoulder rotation, main shoulder elevation, main elbow flexion, main wrist flexion, main wrist roll, and main gripper. The observation images include front view and top-down view, both are 720×1280×3 video data with a frame rate of 30 fps.