Yelp shares crowdsourced user data on restaurants across global cities (such as Phoenix, Madison and Edinburgh) in its Dataset Challenge for participating researchers to build tools and provide research on urban trends and behavior. Along with usual content associated with Yelp's data base (reviews, locations, restaurant names) in Round 8 of the challenge, Yelp has also included photos to the dataset.
The dataset file is available on the website to the public for participating researchers-interested individuals must simply complete an online form. The data is avaliable via a file composed of a single object type, one json-object per-line.
Participants are encouraged to use the Yelp dataset "in an innovative way and break ground in research." These included research in social trends, location mining and urban planning, Natural Language Processing (NLP), Changepoints and Events, and much more.