TDDBench/cifar10

该数据集包含两个主要特征：transform_img和label。transform_img是一个浮点数的三维序列，可能表示图像经过某种变换后的数据；label是一个整数类型，可能表示图像的类别。数据集分为训练集，共有60000个样本，文件大小为761760000字节。数据集的下载大小为184863188字节，实际存储大小与文件大小相同。然而，README中并未提供数据集的具体描述，因此无法给出详细的中文描述。

The dataset includes two main features: transform_img and label. transform_img is a three-dimensional sequence of floating-point numbers, which may represent the data of an image after some transformation; label is an integer type, which may represent the category of the image. The dataset is split into a training set with a total of 60000 samples, with a file size of 761760000 bytes. The download size of the dataset is 184863188 bytes, and the actual storage size is the same as the file size. However, the README does not provide a specific description of the dataset, so no detailed English description can be given.