{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/will-they-won-t-they-a-very-large-dataset-for","title":"Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter","arxiv_id":"2005.00388","date":"2020-05-01","proceeding":"ACL 2020 6","authors":["Costanza Conforti","Jakob Berndt","Mohammad Taher Pilehvar","Chryssi Giannitsarou","Flavio Toxvaerd","Nigel Collier"],"abstract":"We present a new challenging stance detection dataset, called Will-They-Won't-They (WT-WT), which contains 51,284 tweets in English, making it by far the largest available dataset of the type. All the annotations are carried out by experts; therefore, the dataset constitutes a high-quality and reliable benchmark for future research in stance detection. Our experiments with a wide range of recent state-of-the-art stance detection systems show that the dataset poses a strong challenge to existing models in this domain.","url_abs":"https://arxiv.org/abs/2005.00388v1","url_pdf":"https://arxiv.org/pdf/2005.00388v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"will-they-won-t-they-a-very-large-dataset-for","repo_url":"https://github.com/cambridge-wtwt/acl2020-wtwt-tweets","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"will-they-won-t-they-a-very-large-dataset-for","repo_url":"https://github.com/cambridge-wtwt/emnlp2020-stander-news","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"stance-detection","task_name":"Stance Detection"}],"methods":[],"datasets_introduced":[{"slug":"wt-wt","name":"WT-WT","full_name":"Will-They-Won't-They"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2005.00388","atlas_url":"https://app.syntology.ai/?focus=2005.00388","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}