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:
['Curitiba is part of the state of Parana in South Region, Brazil. It is lead by the Democratic Labour Party (Brazil) and served by Alfonso Pena International Airport.', 'Afonsa Pena International Airport serves the city of Curitiba, in the state of Parana. Curitiba is led by the Democratic Labour Party and is part of the South Region, Brazil.']

Ex Output:
SIMILAR


Ex Input:
['There is a Chinese venue with a price range of less than £20 called The Punter.', 'The Punter is a Chinese venue that has a price range of less than £20.']

Ex Output:
SIMILAR


Ex Input:
['There are 45 floors at 200 Public Square, Cleveland, Ohio, which is in the United States.', 'With a floor count of 45, 200 Public Square is located in Ohio, Cleveland, in the United States.']

Ex Output:

SIMILAR