robustness_e2

该数据集是通过LeRobot创建的，主要用于机器人相关任务。数据集包含59个集，29304帧，1个任务和118个视频。数据以parquet格式存储，视频以mp4格式存储。数据集的特征包括动作、观察状态、前视图和俯视图的图像、时间戳、帧索引、集索引、索引和任务索引。动作和观察状态的数据类型为float32，形状为6；图像的数据类型为视频，形状为720x1280x3。数据集的分割信息显示所有59个集都用于训练。

This dataset was developed using LeRobot and is primarily designed for robotics-related tasks. It contains 59 episodes, 29304 frames, 1 task, and 118 videos. The structured data is stored in Parquet format, while the videos are saved in MP4 format. The features of this dataset include actions, observation states, front-view and top-view images, timestamps, frame indices, episode indices, indices, and task indices. The data types of actions and observation states are float32, with a shape of 6; the images (video frames) have a shape of 720 × 1280 × 3. The dataset split information shows that all 59 episodes are used for training.