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]: ['1634: The Bavarian Crisis, which was written by Eric Flint, has 448 pages and was put into print with the ISBN number 978-1-4165-4253-7.', 'The ISBN number of 1634: The Bavarian Crisis is 978-1-4165-4253-7. It was written by Eric Flint, has 448 pages and is available in print form.']
[EX A]: SIMILAR

[EX Q]: ['Alcobendas is in Spain.', 'Spain is located in Alcobendas.']
[EX A]: DISSIMILAR

[EX Q]: ['ACM Transactions on Information Systems is part of the academic Discipline of Computer Science and has the LCCN number of 89646863. The abbreviation used is ACM Trans.Inf.Syst. and the ISSN number is 1558-2868.', 'ACM Transactions on Information Systems, abbreviated to ACM Trans. Inf. Syst., is part of the academic Discipline of Computer Science. It has an ISSN number of 1558-2868 and an LCCN number of 89646863.']
[EX A]:
SIMILAR