amyguan/newswire-70-80

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、地理位置信息、提及的人物信息等。数据集主要用于文本分析和主题分类，可能涉及新闻文章的分析。数据集的训练集包含185,174个样本，总大小为922,923,849.3972836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 (e.g., antitrust, civil rights, crime). Additionally, the dataset includes Named Entity Recognition (NER) information, geolocation data, 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 185174 samples.