upb-nlp/ro_fake_news

该数据集包含了新闻文章的相关信息，如文章标题(headline)、正文(body)、作者(author_name)、发布日期(published_date)等。每个文章还包含了社交媒体上的分享数据，如总分享数(total_shares)、Facebook分享数(total_facebook_shares)、Twitter分享数(twitter_shares)等。数据集分为带标签的default配置和无标签的unlabeled配置，default配置下数据集进一步划分为训练集、验证集和测试集。

The dataset contains information related to news articles, such as article titles (headline), body (body), author (author_name), publish date (published_date), etc. Each article also includes social media sharing data, such as total shares (total_shares), Facebook shares (total_facebook_shares), Twitter shares (twitter_shares), etc. The dataset is divided into labeled default configuration and unlabeled unlabeled configuration. Under the default configuration, the dataset is further divided into training set, validation set, and test set.