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:
['Wildwood is a low priced pub with a low rating.', 'Gergely Rudolf was number 14 during the 2008-09 Debreceni VSC season.']

Ex Output:
DISSIMILAR


Ex Input:
['The title of the episode directed by David von Ancken, with a episode number bigger than 16.0\'s "in utero.', 'Bibimbap House near The Rice Boat in riverside does Italian food.']

Ex Output:
DISSIMILAR


Ex Input:
['the Aromi coffee shop sells Japanese food in riverside, the customer ratings are low and families are not welcome', 'There is a Japanese coffee shop called Aromi which is located by the riverside. It has a low customer rating and it is not family-friendly.']

Ex Output:

SIMILAR