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 is an average rated, family friendly coffee shop, serving Indian food near the Crowne Plaza Hotel in city centre.', 'Browns Cambridge is an averagely rated coffee shop located near Crowne Plaza Hotel in the city centre. It is family friendly and serves Indian food.']
Example Output: SIMILAR

Example Input: ['Customer gives Clowns rating of 1 out of  5, a pub located at riverside with a high price range  of food.', 'With high prices, Clowns, a pub located near the riverside, only has a 1 our of 5 rating with customers.']
Example Output: SIMILAR

Example Input: ['Alan Bean, born in Wheeler, Texas, was on the crew of Apollo 12 but has since retired.', 'Alan Bean has retired, having been born in Wheeler, Texas and serving on the crew of Apollo 12.']
Example Output:
SIMILAR