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该数据集是使用LeRobot创建的机器人学数据集，专门用于轨迹叠加和多episode任务。它包含5289个episodes、862822帧和3076个任务，数据以parquet格式存储，分为6个块，每个块大小为1000。数据集特征包括来自外部和手腕摄像头的图像（分辨率180x320x3）、关节位置（7维）、夹爪位置（1维）、动作（8维）以及时间戳和索引信息。帧率为15fps，所有数据用于训练分割。数据集适用于机器人控制、轨迹学习和视觉任务的研究。

This robotics dataset was created using LeRobot, specifically designed for trajectory stacking and multi-episode tasks. It contains 5289 episodes, 862,822 frames, and 3076 tasks. The data is stored in Parquet format, split into 6 chunks with each chunk sized at 1000. The dataset features include images from external and wrist cameras with a resolution of 180×320×3, 7-dimensional joint positions, 1-dimensional gripper positions, 8-dimensional actions, as well as timestamp and index information. The frame rate is 15 fps, and all data is used for the training split. This dataset is suitable for research on robot control, trajectory learning and visual tasks.