oxe-aug/language_table_train_205000_210000_augmented

language_table_train_205000_210000_augmented数据集是基于OXE_aug代码库v3.0版本构建的，包含google_robot、images、jaco、kinova3、kuka_iiwa、panda、sawyer和ur5e等多种机器人的增强图像数据。数据集共有5000个剧集，约79070帧，采用10帧每秒的帧率。每个剧集包含自然语言指令、机器人末端执行器的位置和误差、关节角度等信息，适用于机器人跨体型策略学习等任务。

The language_table_train_205000_210000_augmented dataset is built based on the OXE_aug codebase version v3.0, containing augmented image data for robots such as google_robot, images, jaco, kinova3, kuka_iiwa, panda, sawyer, and ur5e. The dataset includes 5,000 episodes with approximately 79,070 frames, captured at a frame rate of 10 frames per second. Each episode contains natural language commands, end-effector positions and errors, joint angles, and other information, suitable for tasks like cross-embodiment policy learning in robotics.