{"url":"/dataset/covid-cq","name":"COVID-CQ","full_name":null,"description_markdown":"COVID-CQ is a stance data set of user-generated content on Twitter in the context of COVID-19.\r\n\r\nSource: [A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19](/paper/a-stance-data-set-on-polarized-conversations)\r\nImage Source: [https://arxiv.org/pdf/2009.01188v2.pdf](https://arxiv.org/pdf/2009.01188v2.pdf)","description_withheld":null,"homepage":"https://github.com/eceveco/COVID-CQ","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/a-stance-data-set-on-polarized-conversations","title":"A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19","first_author":"Ece Çiğdem Mutlu","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":["COVID-CQ"],"data_loaders":[{"repo":"https://github.com/eceveco/COVID-CQ","url":"https://github.com/eceveco/COVID-CQ","frameworks":[]}],"num_papers_in_archive":3,"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."}