A lightweight Fox News vs. NBC News binary text classification dataset built from news URLs.
Instead of using full article text, each example uses a pseudo-headline derived from the URL’s last meaningful path component (slug) and normalized into short, clean text. This makes the dataset convenient for fast baselines (TF-IDF + linear models) and also stable for transformer fine-tuning.
Task: binary text classification (predict publisher/source)… See the full description on the dataset page:
https://huggingface.co/datasets/Evan823/headlines_clean_2022_2025_slugs.
