3 datasets found

A new method to extract data with silver labels from raw text to finetune a system for stance classification has been proposed. The reliance on specific discourse relations in...

The dataset was collected from Twitter and Reddit tree-shaped discussions. The stance labels were obtained via crowdsourcing.

The HateXplain dataset, containing 20,000 posts from Gab and Twitter, annotated with hate/offensive/normal labels.