Omkar2118/datasets huggingface dataset:
SMCOVID19-CT
Full name: Contact Tracing Data (from Italian SM-COVID-19 App)

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.

SM-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: 
PID1 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. 
•	Date of the contact (dd/MM/YYYY) 
•	Time of the contact (HH:MM:SS) 
•	PID1 (256-bit hex) 
•	PID2 (256-bit hex) 
•	Contact duration (Integer, in seconds) 
Contact distance (Float, in meters)