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:
["Designer of 103 Colmore Row, John Madin's hometown was Birmingham, a town lead by the Liberal Democrats and the postcode area 'B'.", 'The architect John Madin who designed 103 Colmore Row was born in Birmingham which has the B postcode and is lead by the Liberal Democrats.']

Ex Output:
SIMILAR


Ex Input:
['Cocum is a Japanese coffee shop which is good for families.', 'The score when they had 62 points was 2–1 (so.']

Ex Output:
DISSIMILAR


Ex Input:
['The Mason School of Business is a tenant of the Alan B. Miller Hall in Virginia, U.S.', 'Mason School of Business is a tenant of the Alan B. Miller Hall, which is situated in Virginia in the United States.']

Ex Output:

SIMILAR