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.

['The Waterman is a non family-friendly , low rated Japanese food restaurant with a price range less than £20 and is located in Riverside.', 'Near the riverside is a not family-friendly, low rated restaurant called The Waterman that serves Japanese food for less than £20.']
SIMILAR

['Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg can be located by the ISSN number "0025-5858" and has the abbreviation Abh. Math. Semin. Univ. Hambg.', 'The ISSN number for Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg (abbreviating to Abh. Math. Semin. Univ. Hambg.) is 0025-5858.']
SIMILAR

['Arrabbiata sauces originates from Rome, Italy. It is made with tomatoes, red chili, garlic and olive oil.', 'Arrabbiata sauce comes from the Rome region of Italy.Its main ingredients are tomatoes,red chili,garlic and olive oil.']

SIMILAR