Flag public health risks at restaurants by combining Yelp reviews with open city data on past inspections. An algorithmic approach discovers more violations with the same number of inspections.
DrivenDatistas - Here are the datasets used in this competition, for your practice and enjoyment! For more details on the results of the competition, check out our blog post.
Unfortunately we can't field questions about the data, but we wanted to release it openly so that people everywhere could use it. If you have a question, feel free to run it by the community on the forum. Enjoy!
Data for download
All Historical Violations: All of the historical violations for Boston (includes Test + Train from Phase I and more recent violations).
Restaurant ID Mapping: Matches
restaurant_id in the violations data to
business_id in the Yelp data.
Yelp Restaurant Reviews: This dataset is maintained by Yelp, released at its discretion, and is subject to its data use agreement. At this link, you can download restaurant reviews from Yelp.
Keeping it Fresh: Predict Restaurant Inspections: Rules and Terms of Data Use
DrivenData Competition Rules
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Private sharing of code
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Public dissemination of entries
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Open licensing of winners
Winning solutions need to be made available under The MIT License (an open source software license commonly described at http://opensource.org/licenses/MIT) in order to be eligible for recognition and prize money if offered.
Documentation for winning solutions
Winning solutions must be documented using the provided Winning Model Documentation Template in order to be eligible for recognition and prize money if offered.
The number of submissions per day is restricted to a fixed value on a per-competition basis. Any attempt to circumvent this limit will result in disqualification.
Competitors who download the external dataset from Yelp, Inc. will be bound by the terms and conditions present on Yelp’s data download page.
External data is not allowed unless otherwise noted explicitly on these competition pages. Participants agree to make no attempt to use additional data or data sources not provided on these competition pages.
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Data use and code sharing
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