paolordls/crosslg-cont-tg-benchmark-grade

该数据集包含新闻真假信息（fake_news和real_news）、关键词（fake_keyword）、问题（real_question和fake_question）及答案（real_answer和fake_answer），以及解释（explanation）和评分（rating）。数据集被划分为训练集，共有20个示例。这些信息可能用于新闻真实性检测或相关自然语言处理任务。

The dataset includes information on the authenticity of news (fake_news and real_news), keywords (fake_keyword), questions (real_question and fake_question) and answers (real_answer and fake_answer), as well as explanations (explanation) and ratings (rating). The dataset is split into a training set with a total of 20 examples. This information may be used for news authenticity detection or related natural language processing tasks.