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 Q]: ['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 A]: SIMILAR

[EX Q]: ['Cocum is a cheaply priced coffee shop, offering fast food and drinks. It is rated 3 stars and is ideal for families.', 'There is a cheap coffee shop named Cocum, rated average by customers. The place offers Fast food and is family friendly.']
[EX A]: SIMILAR

[EX Q]: ["Fitzbillies is a coffee shop selling Indian food at a high price range. It's customer rating is average and it is located near the city center, but is not family friendly.", "Fitzbillies is a coffee shop that also serves Indian food, it's located in the city centre. While the price range is high, the customer service rating is average, it is not children friendly."]
[EX A]:
SIMILAR