t2ance/ct-diffusion-128-latents-v7

该数据集包含多个特征，分别为ld_latent、ld_latent_upsampled、hd_latent、ld_ct、ld_ct_upsampled和hd_ct。ld_latent和ld_latent_upsampled是四维数组，维度分别为8x5x16x16和8x25x16x16，数据类型为float32。hd_latent是四维数组，维度为8x25x16x16，数据类型为float32。ld_ct、ld_ct_upsampled和hd_ct是三维数组，维度分别为40x128x128、200x128x128和200x128x128，数据类型为float32。数据集分为训练集和测试集，训练集包含4158个示例，大小为122841789840字节，测试集包含50个示例，大小为1477174000字节。

The dataset includes multiple features: ld_latent, ld_latent_upsampled, hd_latent, ld_ct, ld_ct_upsampled, and hd_ct. ld_latent and ld_latent_upsampled are four-dimensional arrays with dimensions of 8x5x16x16 and 8x25x16x16 respectively, and the data type is float32. hd_latent is a four-dimensional array with dimensions of 8x25x16x16, and the data type is float32. ld_ct, ld_ct_upsampled, and hd_ct are three-dimensional arrays with dimensions of 40x128x128, 200x128x128, and 200x128x128 respectively, and the data type is float32. The dataset is divided into training and test sets, with the training set containing 4158 examples and being 122841789840 bytes in size, and the test set containing 50 examples and being 1477174000 bytes in size.