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:
['The Mill pub serves Chinese food with prices over £30 in the riverside area.', 'Percipitation in Haifa was 33.6 mm and average low for temperature was 17.6 °C in April.']

Ex Output:
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:
['The Wrestlers is not a kid friendly Fast food place. Their prices are ridiculously high and have a rating of 1 out of 5.', "There is an expensive, Fast food place called The Wrestlers that has a one star rating and isn't family-friendly."]

Ex Output:

SIMILAR