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: ['City Centre has a coffee shop that serves Japanese food, children friendly,  has a customer rating of 3 out of 5 and on a high price range called Fitzbillies.', 'Fitzbillies is a children friendly coffee shop that serves Japanese food in the city centre. It has a high price range and a customer rating of three out of five.']

Output: SIMILAR


Input: Consider Input: ['The School of Business and Social Sciences at the Aarhus University is affiliated with the European University Association.', 'The European University Association is affiliated to School of Business and Social Sciences at the Aarhus University.']

Output: DISSIMILAR


Input: Consider Input: ['Nathan Hoffart went to Saskatchewan College.', 'The Vaults is a moderately priced French restaurant but is not kid friendly.']


Output: DISSIMILAR