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:
['Asam pedas is a dish from Sumatra which is a food found in Malaysia.', 'Sumatran dish asam pedas is found in Malaysia.']

Ex Output:
SIMILAR


Ex Input:
['The full name of AS Gubbio 1910 is "Associazione Sportiva Gubbio 1910 Srl", they have 5300 members and played in the 2014 season.', 'Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg is concerned with the academic discipline of Pure Mathematics. It has the abbreviation Abh. Math. Semin. Univ. Hambg and the ISSN number 0025-5858.']

Ex Output:
DISSIMILAR


Ex Input:
['Five star Browns Cambridge is a family-friendly coffee shop that offers Indian cuisine near the riverside close to the Crowne Plaza Hotel.', 'Browns Cambridge is a family friendly coffee shop in the riverside area near the Crowne Plaza Hotel now serving Indian food with a customer service rating of 5 out of 5.']

Ex Output:

SIMILAR