In our experiments we employed the datasets provided by the TREC Contextual Suggestion Tracks 2015 and 2016. The provided data, consisted of, a collection of POIs, a web crawl of the same POIs, a set of User Profiles, and a set of user requests that was unique for each installation of the Track. For more information about the dataset please refer to the Contextual Suggestion Track webpage. We identified the POI IDs that would be useful to the experiments, namely, the set of POIs that occur in user profiles or the candidate POIs in requests. We then proceeded to collect more online data about this set of POIs. We attempted to match all POIs to widely known and used web services like Foursquare and Yelp. We then enriched the above TREC data by collecting more information about POIs from Foursquare and Yelp. The following resources are available for download in order to facilitate further research related to contextual suggestion based on the TREC Dataset. The data are in json form structured in three parts: "metadata", "foursquare", and "yelp". The "metadata" contain the: "keywords", "title", "description" The "yelp", and "foursquare" trees contain the complete tree returned by the API for each POI. For information about these tree structures, please refer to Foursquare and Yelp API documentation