AG News is a four-way topic classification task introduced in Character-level Convolutional Networks for Text Classification. In this setup, a task model must classify whether a given news article is about world events (World), sports and athletics (Sports), business and economics (Business), and scientific developments (Sci/Tech). The test set on HuggingFace (huggingface.co/datasets/ag_news) is composed of 7,600 examples equally balanced across the four classes.
News… See the full description on the dataset page:
https://huggingface.co/datasets/Kyle1668/AG-Tweets.
