amyguan/newswire-70-80-macro

该数据集包含新闻文章及其相关元数据，涵盖了多个主题标签（如反垄断、民权、犯罪等）、命名实体识别（NER）信息、地理位置信息、提及的人物信息等。数据集包含一个训练集，大小为35975160.36241369字节，包含7218个样本。

This dataset contains news articles along with their metadata, including the article text, author information, dates, newspaper metadata (such as the city, state, and title of the newspaper), and multiple labels related to the articles topic (such as antitrust, civil rights, crime, etc.). Additionally, the dataset includes Named Entity Recognition (NER) words and labels, geographic location information of the news source (such as city, state, country, coordinates, etc.), and information about people mentioned in the articles (such as gender, name, occupation, etc.). The dataset is split into a training set with 7218 samples, totaling 35975160.36241369 bytes.