tomato-store/data_0524_v2

该数据集使用LeRobot工具创建，是一个机器人领域的数据集，专门用于双机器人（bi_so_follower）操作任务。数据集包含102个完整的情节（episodes），总计95,905帧，涵盖3个不同的任务。数据以30帧每秒（fps）的视频格式记录，并包含机器人动作和状态观察信息。特征包括：12维的动作向量（对应左右机器人的肩部、肘部、腕部和抓手的关节位置），12维的状态观察向量（与动作向量相同），以及来自三个摄像头的图像观察：左前摄像头（分辨率480x640，3通道彩色视频）、右前摄像头（分辨率480x640，3通道彩色视频）和右顶摄像头（分辨率360x640，3通道彩色视频）。此外，数据还包含时间戳、帧索引、情节索引、全局索引和任务索引。数据集以Parquet文件格式存储，总数据文件大小为100MB，视频文件大小为200MB，所有数据均用于训练集（splits: train）。This dataset was created using the LeRobot tool and is a robotics dataset specifically designed for dual-robot (bi_so_follower) manipulation tasks. It contains 102 complete episodes, totaling 95,905 frames, and covers 3 distinct tasks. The data is recorded at 30 frames per second (fps) in video format and includes robot actions and state observations. Features include: a 12-dimensional action vector (corresponding to joint positions of left and right robots shoulders, elbows, wrists, and grippers), a 12-dimensional state observation vector (same as the action vector), and image observations from three cameras: left front camera (resolution 480x640, 3-channel color video), right front camera (resolution 480x640, 3-channel color video), and right top camera (resolution 360x640, 3-channel color video). Additionally, the data includes timestamps, frame indices, episode indices, global indices, and task indices. The dataset is stored in Parquet file format, with a total data file size of 100MB and video file size of 200MB, and all data is used for the training set (splits: train).