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:
['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.']
answer:
SIMILAR


question:
['Antwerp International airport serves Antwerp, Belgium where German is an official language.', 'Antwerp International airport serves Antwerp, a popular tourist destination in, German speaking Belgium.']
answer:
SIMILAR


question:
['The song "Red Tandy" came out 2005.', 'Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg, which has the abbreviation Abh.Math.Semin.Univ.Hambg, has the CODEN code AMHAAJ.']
answer:

DISSIMILAR