pnsahoo/newswire-1880-1889

该数据集包含多个特征，涵盖了文章内容、作者、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37,271个样本，总大小为187,464,707.88字节。

This dataset contains news articles and their associated metadata, including the article text, byline, dates, newspaper metadata (such as the city, state, and title of the newspaper), and multiple topic labels related to the article (such as antitrust, civil rights, crime, etc.). Additionally, the dataset includes Named Entity Recognition (NER) information, geolocation information, mentioned individuals and their related information (such as gender, occupation, Wikidata ID), cluster size, and year. The dataset is divided into a training set, containing 37,271 samples.