t2ance/ct-diffusion-128-latents-v6

该数据集包含训练和测试两个部分，每个部分都包含六种不同的特征数据。特征数据包括ld_latent、ld_latent_upsampled、hd_latent、ld_ct、ld_ct_upsampled和hd_ct，均为四维或三维数组，数据类型为float32。训练集包含1188个样本，大小为35097654240字节；测试集包含50个样本，大小为1477174000字节。

The dataset consists of training and test splits, each containing six different feature types: ld_latent, ld_latent_upsampled, hd_latent, ld_ct, ld_ct_upsampled, and hd_ct. These feature types are represented as four-dimensional or three-dimensional arrays with the data type of float32. The training set includes 1188 samples, totaling 35097654240 bytes, while the test set includes 50 samples, totaling 1477174000 bytes.