RobotLearningProject/fullmerge_allDataDagger2_blank_stats

该数据集是一个机器人学习数据集，使用LeRobot平台创建。数据集包含311个训练片段，总计115,570帧数据，涵盖2个任务。数据来自so_follower机器人类型，包含机器人的动作状态（6自由度关节位置）和观测状态（关节位置和前端摄像头图像）。前端图像分辨率为1280x720，帧率为30fps。数据集以parquet格式存储，总数据文件大小为100MB，视频文件大小为200MB。This dataset is a robotic learning dataset developed using the LeRobot platform. It consists of 311 training episodes, with a total of 115,570 frames, covering 2 distinct tasks. The data is collected from the so_follower robot type, including the robot's action states (6-degree-of-freedom joint positions) and observation states (joint positions and front-end camera images). The front-end camera images have a resolution of 1280×720 and a frame rate of 30 fps. The dataset is stored in Parquet format, with an overall data file size of 100 MB and a video file size of 200 MB.