Bingcoronavirusqueryset
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Iso 3166 Countries With Regional Codes | 1,831 | 2 months ago | August 26, 2016 | 13 | other | Ruby | ||||
| ISO 3166-1 country lists merged with their UN Geoscheme regional codes in ready-to-use JSON, XML, CSV data sets | ||||||||||
| Covid19 | 1,234 | 22 days ago | 10 | JavaScript | ||||||
| JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily | ||||||||||
| Nomeroff Net | 398 | 2 days ago | 17 | July 27, 2019 | 5 | gpl-3.0 | Python | |||
| Nomeroff Net. Automatic numberplate recognition system. | ||||||||||
| Mongodb Json Files | 387 | 4 years ago | 4 | Shell | ||||||
| :package: A curated list of JSON / BSON datasets from the web in order to practice / use in MongoDB | ||||||||||
| Crosslet | 164 | 9 years ago | 10 | other | JavaScript | |||||
| Crossfilter + leaflet | ||||||||||
| Passport Index Dataset | 155 | 19 days ago | 2 | mit | Jupyter Notebook | |||||
| Passport Index 2023: visa requirements for 199 countries, in .csv | ||||||||||
| Population | 86 | a year ago | 2 | Python | ||||||
| Population figures for countries, regions (e.g. Asia) and the world. | ||||||||||
| Covid19 Data | 84 | 2 months ago | 19 | Jupyter Notebook | ||||||
| COVID-19 workflows and datasets. | ||||||||||
| Covid Api | 78 | 2 years ago | 1 | March 24, 2020 | 10 | mit | Python | |||
| API's to interact with COVID19 dataset by John Hopkins University | ||||||||||
| Bingcoronavirusqueryset | 72 | 2 years ago | other | |||||||
| Dataset containing Aggregated and anonymized queries from across the world with Coronavirus intent. | ||||||||||
Bing search dataset for Coronavirus Intent
Data Source
This dataset was curated from the Bing search logs (desktop users only) over the period of Jan 1st, 2020 – (Current Month - 1). Only searches that were issued many times by multiple users were included. The dataset includes queries from all over the world that had an intent related to the Coronavirus or Covid-19. In some cases this intent is explicit in the query itself (e.g., “Coronavirus updates Seattle”), in other cases it is implicit , e.g. “Shelter in place”. The implicit intent of search queries (e.g., “Toilet paper”) was extracted using random walks on the click graph as outlined in this paper by Microsoft Research. All personal data were removed.
Contact Us
Schema Description
Inside the data folder there is a folder 2020 (for the year) which contains two kinds of files.
- QueriesByCountry_DateRange.tsv : A tab separated text file that contains queries with Coronavirus intent by Country.
- QueriesByState_DateRange.tsv : A tab separated text file that contains queries with Coronavirus intent by State.
QueriesByCountry
Date : string, Date on which the query was issued.
Query : string, The actual search query issued by user(s).
IsImplicitIntent : bool, True if query did not mention covid or coronavirus or sarsncov2 (e.g, “Shelter in place”). False otherwise.
Country : string, Country from where the query was issued.
PopularityScore : int, Value between 1 and 100 inclusive. 1 indicates least popular query on the day/Country with Coronavirus intent, and 100 indicates the most popular query for the same Country on the same day.
QueriesByState
Date : string, Date on which the query was issued.
Query : string, The actual search query issued by user(s).
IsImplicitIntent : bool, True if query did not mention covid or coronavirus or sarsncov2 (e.g, “Shelter in place”). False otherwise.
State : string, State from where the query was issued.
Country :string, Country from where the query was issued.
PopularityScore : int, Value between 1 and 100 inclusive. 1 indicates least popular query on the day/State/Country with Coronavirus intent, and 100 indicates the most popular query for the same geogrpahy on the same day.
Data Update Frequency
New data will be added once a month until coronavirus is no longer in the news.
Insights from this dataset
Here is a link to the Bing blog where Data Scientists from Microsoft extracted insights from this dataset Extracting Insights from the Bing Coronavirus Queryset
Terms of Use:
Please see the LICENSE file for more details. If you choose to use the data, please attribute it to Microsoft as follows: "Data Source: Bing Coronavirus Query set (microsoft/BingCoronavirusQuerySet)".
Contributing:
This project is not open for contributions.
This project has adopted the Microsoft Open Source Code of Conduct.
For more information see the Code of Conduct FAQ or
contact [email protected] with any additional questions or comments.
