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.

Example Input: ['Browns Cambridge has reasonable prices and high ratings.', 'With a customer rating of 5 out of 5, Browns Cambridge has a moderate price range at more than £30.']
Example Output: SIMILAR

Example Input: ['There is a fast food restaurant called The Rice Boat in the city center, near the Express by Holiday Inn, which serves cheap fast food, it is not very family-friendly and has an average customer rating.', 'The Rice Boat is a fast food restaurant that is near Express by Holiday Inn in the city centre.  Prices are cheap, received an average customer rating and is not family-friendly.']
Example Output: SIMILAR

Example Input: ['The Acta Mathematica Hungarica ISSN number is "0236-5294" and the LCCN number 83646315. It has the CODEN code of "AMAHE9" and the abbreviation of Acta Math. Hungar..', 'Acta Mathematica Hungarica (abbreviated as "Acta Math. Hungar.") has the CODEN code "AMAHE9". It has the ISSN number of "0236-5294" and LCCN number 83646315.']
Example Output:
SIMILAR