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:
['With a customer rating of 3 out of 5, Zizzi is a high price range coffee shop in the city centre that is not child friendly.', 'Zizzi is a coffee shop in the city centre in the high price range. It is not child friendly and has a rating of 3 out of 5.']

Ex Output:
SIMILAR


Ex Input:
['Corinna May won first place with 32.60% of the votes.', 'Sam Simmons had 197 total receiving yards, with an average of 13.1 yards/reception.']

Ex Output:
DISSIMILAR


Ex Input:
['The Waterman is a moderately priced, English restaurant in the city centre area that is kid friendly and has a rating of 3 out of 5 stars.', 'The Waterman is a kid friendly, English restaurant in the city centre area. It has a 3 out of 5 star rating and is moderately priced.']

Ex Output:

SIMILAR