TDDBench/bloodmnist

该数据集包含两个主要特征：transform_img和label。transform_img是一个序列的序列，包含float32类型的数值，可能代表图像的某种转换后的数据。label是一个int64类型的标签，可能用于监督学习任务中。数据集分为训练集(train)，共有17092个示例，大小为166,954,656字节。整个数据集的下载大小为40,501,885字节，总大小为166,954,656字节。

The dataset includes two main features: transform_img and label. transform_img is a sequence of sequences containing float32 numbers, which may represent transformed image data. label is an int64 type that might be used for supervised learning tasks. The dataset is split into a training set (train) with a total of 17092 examples, totaling 166,954,656 bytes in size. The entire datasets download size is 40,501,885 bytes, and the total size is 166,954,656 bytes.