ziyu3141/rf_newtrain_8_35

该数据集包含图像文件的美学评分、人工制品评分、对齐度评分以及总体评分等多个维度的信息。还包括人工制品和对齐度的热图数据、对齐度的标签、图像是否均匀的标记以及用户偏好的图像、非偏好的图像和修订后的图像的二进制标记。数据集分为训练集，其中包含100个示例，总大小为678,354,369字节。

The dataset includes multiple dimensions of information such as aesthetics scores, artifact scores, alignment scores, and overall scores for image files. It also contains heatmap data for artifacts and alignment, alignment token labels, binary flags for whether the image is uneven, preferred image, unpreferred image, and revised image. The dataset is split into a training set with 100 examples, totaling 678,354,369 bytes in size.