scottyjb/elijaha

该数据集包含多个特征字段，其中包括图像数据、三维浮点数数组以及结构化数据。图像数据包括image和psl两个字段。三维数组数据包括load、pf和disp，分别代表不同形状和类型的浮点数数组。结构化数据字段summary包含了多个序列化的浮点数和整数数组，以及字符串和二维浮点数数组。数据集还有一个字符串类型的标识字段id。数据集被划分为训练集，共有30000个样本。

The dataset includes multiple feature fields, consisting of image data, three-dimensional float arrays, and structured data. The image data includes the image and psl fields. The three-dimensional array data includes load, pf, and disp, which are float arrays of different shapes and types. The structured data field summary contains multiple sequenced float and integer arrays, as well as strings and two-dimensional float arrays. There is also a string type identification field id. The dataset is split into a training set with a total of 30,000 samples.