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: ['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: ['Aromi is a coffee shop providing Indian food It is located in the riverside. Its customer rating is low.', 'Aromi is a coffee shop providing Indian food It is located in the riverside. Its customer rating is low.']
Example Output: SIMILAR

Example Input: ['A severed Wasp originates from the United States, where the leader is Barack Obama and one of the ethnic groups there is The African Americans. they speak English, same as in Great Britain.', 'English is spoken in Great Britain and A Severed Wasp is written in it but comes from the United States where one of the ethnic groups is African American and Barack Obama is the president.']
Example Output:
SIMILAR