{"url":"/dataset/coughvid","name":"COUGHVID","full_name":null,"description_markdown":"The COUGHVID dataset provides over 20,000 crowdsourced cough recordings representing a wide range of subject ages, genders, geographic locations, and COVID-19 statuses. First, the dataset was filtered using an open-sourced cough detection algorithm. Second, experienced pulmonologists labeled more than 2,000 recordings to diagnose medical abnormalities present in the coughs, thereby contributing one of the largest expert-labeled cough datasets in existence that can be used for a plethora of cough audio classification tasks.","description_withheld":null,"homepage":"https://c4science.ch/diffusion/10770/","introduced_date":"2020-09-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/the-coughvid-crowdsourcing-dataset-a-corpus","title":"The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms","first_author":null,"url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Audio","url":"/datasets/modality/audio"}],"tasks":[],"languages":[],"variants":["COUGHVID"],"data_loaders":[],"num_papers_in_archive":29,"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."}