This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.

[EX Q]: ['Browns Cambridge is an average rated, family friendly coffee shop, serving Indian food near the Crowne Plaza Hotel in city centre.', 'Browns Cambridge is an averagely rated coffee shop located near Crowne Plaza Hotel in the city centre. It is family friendly and serves Indian food.']
[EX A]: SIMILAR

[EX Q]: ['For cheap French food go to The Waterman in the city centre. They have a 5 out of 5 rating and are not family-friendly.', 'The Waterman in the city centre offers cheap French food. It is not family-friendly and has a customer rating of 5 out of 5.']
[EX A]: SIMILAR

[EX Q]: ['Atlantic City International Airport serves Atlantic City , USA which is lead by Don Guardian. It is located at Egg Harbor Township, New Jersey.', 'Atlantic City International Airport serves the city of Atlantic City, New Jersey in the U.S.A. The airport is in Egg Harbor Township, New Jersey. The Atlantic City, New Jersey leader is Don Guardian.']
[EX A]:
SIMILAR