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.

Input: Consider Input: ['There are a total of 12 floors in 250 Delaware Avenue.', '12 has a floor count of 250 Delaware Avenue.']

Output: DISSIMILAR


Input: Consider Input: ['Two of the leaders of France are Manuel Valls and Gerard Larcher, it is also where baked Alaska is from.', 'Baked Alaska is from the country of France, which leaders are Manual Valls and Gérard Larcher.']

Output: SIMILAR


Input: Consider Input: ['Strada is cheap restaurant that has a high customer rating, but is not family-friendly.', 'Strada is a cheap, non-family-friendly restaurant with a high customer rating.']


Output: SIMILAR