{"url":"/dataset/smcovid19-ct","name":"SMCOVID19-CT","full_name":"Contact Tracing Data (from Italian SM-COVID-19 App)","description_markdown":"We present a real data analysis of a CT experiment that was conducted in Italy for 8 months and involved more than 100,000 CT app users.\r\n\r\nSM-Covid-19 uses a NO-SQL data storage system to ensure scalability and performance. At regular intervals, SM-Covid-19 backend generates a complete dump of the dataset. The dump is converted into a relational database stored into a CSV formatted file to allow the open data to be easy to consult and process. The CSV file is structured as follows: \r\nPID1 and PID2 fields are pre-processed via SHA256 hash with a seed stored into the SoftMining backend system. The CSV is finally cleaned to remove duplicates. \r\n•\tDate of the contact (dd/MM/YYYY) \r\n•\tTime of the contact (HH:MM:SS) \r\n•\tPID1 (256-bit hex) \r\n•\tPID2 (256-bit hex) \r\n•\tContact duration (Integer, in seconds) \r\nContact distance (Float, in meters)","description_withheld":null,"homepage":"https://smcovid19.org","introduced_date":"2021-05-15","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC0","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Tabular","url":"/datasets/modality/tabular"}],"tasks":[{"name":"COVID-19 Tracking","url":"/task/covid-19-tracking","datasets_with_task":"/datasets/task/covid-19-tracking"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SMCOVID19-CT"],"data_loaders":[{"repo":"https://github.com/luigidibiasi/sm-covid-19-opendata","url":"https://github.com/luigidibiasi/sm-covid-19-opendata","frameworks":[]}],"num_papers_in_archive":0,"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."}