oxe-aug/language_table_train_275000_280000_augmented

language_table_train_275000_280000_augmented数据集是OXE-AugE项目的一部分，包含了从275000到280000的增强语言表格训练数据。这个数据集基于v3.0代码库，使用了多种机器人，包括google_robot、images、jaco、kinova3、kuka_iiwa、panda、sawyer和ur5e。数据集以10帧每秒的帧率记录了5000个剧集，共计78942帧。每个剧集包含增强图像、末端执行器位置误差、关节角度等多种特征，并提供了自然语言指令描述任务。

The language_table_train_275000_280000_augmented dataset is part of the OXE-AugE project, containing augmented language table training data from 275000 to 280000. This dataset is based on the v3.0 codebase and uses various robots including google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, and ur5e. The dataset records 5000 episodes at a frame rate of 10 frames per second, totaling 78942 frames. Each episode includes features such as augmented images, end-effector position errors, joint angles, and provides natural language instructions describing the tasks.