{"url":"/dataset/wt-wt","name":"WT-WT","full_name":"Will-They-Won't-They","description_markdown":"Will-They-Won't-They (WT-WT) is a large dataset of English tweets targeted at stance detection for the rumor verification task. The dataset is constructed based on tweets that discuss five recent merger and acquisition (M&A) operations of US companies, mainly from the healthcare sector.\r\n\r\nAll the annotations are carried out by domain experts; therefore, the dataset constitutes a high-quality and reliable benchmark for future research in stance detection.\r\n\r\nSource: [WT-WT](https://github.com/cambridge-wtwt/acl2020-wtwt-tweets)","description_withheld":null,"homepage":"https://github.com/cambridge-wtwt/acl2020-wtwt-tweets","introduced_date":"2020-05-01","introduced_date_note":null,"introduced_by":{"paper":"/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","first_author":"Costanza Conforti","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Stance Detection","url":"/task/stance-detection","datasets_with_task":"/datasets/task/stance-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["WT-WT"],"data_loaders":[{"repo":"https://github.com/cambridge-wtwt/acl2020-wtwt-tweets","url":"https://github.com/cambridge-wtwt/acl2020-wtwt-tweets","frameworks":[]}],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}