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:
['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.']

Ex Output:
SIMILAR


Ex Input:
['With  a customer rating of average, Strada is family friendly and has a cheap price range.', 'Strada with an average customer rating and cheap price range is family friendly.']

Ex Output:
SIMILAR


Ex Input:
['Blue Spice, located in the riverside area offers fast food for high prices.', 'Blue Spice is an expensive fast food establishment on the riverside.']

Ex Output:

SIMILAR