TwitterGAN

该数据集名为TwitterGAN，包含了总共1,353个使用生成对抗网络（GAN）生成的真人面容作为个人资料的推特账户。该数据集的收集目的是为了分析这些账户的本质特征及其活动情况。此外，数据集还包括了通过推特V2 API收集的最新推文以及个人资料图片，这些图片主要以400×400像素的分辨率呈现。该数据集的规模为1,353个账户，其任务是对社交媒体上生成的对抗网络个人资料进行识别。

This dataset, named TwitterGAN, comprises a total of 1,353 Twitter accounts that use real human faces generated by Generative Adversarial Networks (GANs) as their profile pictures. The purpose of collecting this dataset is to analyze the essential characteristics and activity patterns of these accounts. Additionally, the dataset includes the latest tweets collected via the Twitter API v2 and the profile images, most of which have a resolution of 400×400 pixels. The corresponding task for this dataset is to identify social media accounts with profile pictures generated by Generative Adversarial Networks.