zifuwan/pick_drive_wide

Gello数据集是一个转换成LeRobot v2.1格式的机器人操作演示数据集，与berkeley_autolab_ur5数据集的结构相匹配。该数据集包含了一个任务：拿起硬盘并将其放入灰色盒子中。共有118个剧集，79,141帧，每个剧集包含2个视频类型，总共236个视频。数据集格式为LeRobot v2.1，帧率为10FPS，视频分辨率为640x480像素。每个剧集平均长度为671帧，平均持续时间为67.1秒，成功率为100%。

The Gello Dataset is a set of robotic manipulation demonstrations converted to the LeRobot v2.1 data format, matching the structure of the berkeley_autolab_ur5 dataset. The dataset includes one task: pick up the hard drive and place it in the grey box. There are a total of 118 episodes, 79,141 frames, with 2 video types per episode, totaling 236 videos. The dataset format is LeRobot v2.1, with a frame rate of 10FPS and a video resolution of 640x480 pixels. The average episode length is 671 frames, with an average duration of 67.1 seconds, and a success rate of 100%.