instruction:
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.
question:
['108 St Georges Terrace has a floor count of 50.', 'There are 108 St Georges Terrace floors at 50.']
answer:
DISSIMILAR


question:
['Bibimbap House serves Italian. It has a high price range. It is in the center of the city near Clare Hall', 'Serving Italian food at a high price range, Bibimbap House can be found near Clare Hall in the city centre.']
answer:
SIMILAR


question:
['United States national Elliot See was born in Dallas. He graduated from the University of Texas at Austin, an affiliation of the university of Texas system, and later served as a test pilot. He passed away in St. Louis.', 'Elliot See has died in St Louis. Born in Dallas he was a US national and attended the University of Texas at Austin which is affiliated the the University of Texas system. He then became a test pilot,.']
answer:

SIMILAR