amyguan/newswire-60-70-civil-rights

该数据集包含多个特征，涵盖了文章内容、作者信息、日期、报纸元数据、多个主题标签（如反垄断、民权、犯罪等）、命名实体识别（NER）相关的词汇和标签、电线信息（城市、州、国家、坐标等）、提到的人物信息（性别、姓名、职业等）、聚类大小和年份。数据集分为一个训练集，包含15,844个样本，总大小为90,789,816.80字节。

This is a dataset containing news articles and their associated metadata. The dataset includes the article text, author information, dates, newspaper metadata (such as newspaper title, city, state, etc.), and multiple topic labels related to the articles (e.g., antitrust, civil rights, crime, etc.). Additionally, the dataset contains Named Entity Recognition (NER) information, geolocation information (such as city, state, country, coordinates, etc.), and information about people mentioned (such as gender, name, occupation, etc.). The dataset is divided into a training set, containing 15,844 samples.