Tna001/tactile_test_tube_pyflexitac

该数据集是通过LeRobot工具创建的，主要用于机器人技术领域。数据集包含了64个训练片段，总计75041帧，涉及1个任务。数据以parquet格式存储，视频以mp4格式存储。数据集的特征包括机器人的动作（如肩部、肘部、腕部等的位置）、观察状态（同样包括各个关节的位置）、顶部摄像头捕获的图像（224x224分辨率，30fps）以及主触觉传感器的数据（12x32矩阵）。数据集的总数据文件大小为100MB，视频文件大小为200MB。

This dataset was created using the LeRobot tool and is primarily used in the field of robotics. It includes 64 training episodes, totaling 75,041 frames, and involves 1 task. The data is stored in parquet format, and videos are stored in mp4 format. The dataset features include robot actions (such as positions of shoulders, elbows, wrists, etc.), observation states (also including positions of various joints), images captured by a top camera (224x224 resolution, 30fps), and data from the primary tactile sensor (12x32 matrix). The total size of the data files is 100MB, and the video files are 200MB.