SemEvalWorkshop/hyperpartisan_news_detection download history

SemEvalWorkshop/hyperpartisan_news_detection is a text classification dataset on the Hugging Face Hub. In the last 30 days it was downloaded 627 times (110 in the last 7 days), and 175,085 times in total. It ranks #27,631 among datasets by monthly downloads.

Hyperpartisan News Detection was a dataset created for PAN @ SemEval 2019 Task 4. Given a news article text, decide whether it follows a hyperpartisan argumentation, i.e., whether it exhibits blind, prejudiced, or unreasoning allegiance to one party, faction, cause, or person. There are 2 parts: -

Models trained on hyperpartisan_news_detection

1 models list it as training data.

Open SemEvalWorkshop/hyperpartisan_news_detection on Hugging Face