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 Input:
['School 9 in Schiller Park was demolished.', 'A restaurant providing Japanese food in the average  price range. It is located near Café Sicilia and has been rated average by customers is called The Punter.']

Ex Output:
DISSIMILAR


Ex Input:
['Every location where Nick is Bru is in rangpur.', 'The Eagle is a Japanese kid-friendly coffee shop situated by the riverside. Its price ranges are moderate and it has a customer rating of 1 out of 5. It is near Burger King.']

Ex Output:
DISSIMILAR


Ex Input:
["If you are looking for a coffee shop that serves Indian food, Browns Cambridge is for you. It is near Crowne Plaza Hotel and in the riverside area. The place is pretty average though and isn't meant for families.", 'Browns Cambridge is an average coffee shop serving Indian food in a child friendly environment. It is located on the riverside near the Crowne Plaza Hotel.']

Ex Output:

SIMILAR