AIcrowd Competitionsaicrowd.com
Data Challenges
12 datasets
Data challenges package a dataset with a defined task and an evaluation metric, which makes them useful for practice and benchmarking. The list points to the competition platforms Kaggle, DrivenData (competitions for social good), AIcrowd and Bruteforce, along with NASA's Space Apps Challenge and the ICWSM data challenge. It also links individual historic contests such as the Netflix Prize, KDD Cup 2012 by Tencent, the TravisTorrent MSR 2017 mining challenge and the Yelp dataset challenge.
Competition data usually comes with rules you accept when you join, and those rules often limit use to the competition or to non-commercial research. The Yelp dataset is for personal, educational and academic purposes. The Netflix Prize data was withdrawn after privacy concerns, so treat copies found elsewhere with care. Test labels for closed contests are often never released, so you may only be able to score against a held-out split you create yourself.
Bruteforce Databasegithub.com
1.8kChallenges in Machine Learningchalearn.org
DrivenData Competitions for Social Gooddrivendata.org
ICWSM Data Challenge (since 2009)icwsm.org
KDD Cup by Tencent 2012kddcup2012.org
Kaggle Competition Datakaggle.com
Localytics Data Visualization Challengegithub.com
57Netflix Prizekaggle.com
Space Apps Challenge2015.spaceappschallenge.org
TravisTorrent Dataset - MSR'2017 Mining Challengetravistorrent.testroots.org
MSR'2017 Mining Challenge
Yelp Dataset Challengeyelp.com
The Yelp dataset is a subset of our businesses, reviews, and user data for use in personal, educational, and academic purposes. Available as JSON files, use it to teach students about databases, to learn NLP, or for sample production data while you learn how to make mobile apps.