5 datasets found

The FNC-1 dataset is a supervised classification task for stance detection, where the goal is to automatically predict the labels in a supervised classification task.

Semeval-2016 Task 6: Detecting stance in tweets.

Stance detection aims to identify whether the author of a text is in favor of, against, or neutral to a given target. The main challenge of this task comes two-fold: few-shot...

Stanceosaurus is a new corpus of 28,033 tweets in English, Hindi, and Arabic annotated with stance towards 251 misinformation claims.

Stance detection dataset for political stance detection, including P-Stance, SemEval-2016, and MTSD datasets.