pnsahoo/newswire-1920-1929

该数据集包含多个特征，如文章内容、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（如城市、州、国家、坐标等）、提到的人物信息（包括性别、姓名、职业等）、聚类大小和年份。数据集分为训练集，包含361,779个样本，总大小为1,819,666,618.8783596字节，下载大小为443,023,090字节。

This is a dataset containing news articles and their associated metadata. The dataset includes the main text of the articles, author information, dates, newspaper metadata (such as the city, state, and title of the newspaper), and multiple topic labels related to the articles (such as antitrust, civil rights, crime, etc.). Additionally, the dataset contains Named Entity Recognition (NER) related information, geographical location information, mentioned individuals and their related information (such as gender, occupation, Wikidata ID), as well as cluster size and year information. The dataset is divided into a training set, containing 361,779 samples.