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:
['Batagor, which is a variation of Shumai, is found in Indonesia. The main ingredients are fried fish dumpling with tofu and vegetables in peanut sauce.', 'Batagor comes from Indonesia and is a variation of Shumai.It contains a fried fish dumpling with tofu and vegetables in peanut sauce.']

Ex Output:
SIMILAR


Ex Input:
['Kid Friendly Zizzi is a pub with Indian food and a high customer Rating.', 'Aromi is a family friendly coffee shop located in the Riverside area. The coffee shop serves fast food and has a high customer rating.']

Ex Output:

DISSIMILAR