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: ['The Golden Curry with a average rating is English and family Friendly.', 'Amdavad ni Gufa is located in Ahmedabad, Gujarat, India.']
Example Output: DISSIMILAR

Example Input: ['The Cotto is near the Ranch and has a high customer rating. It serves Japanese food and caters to kids.', 'The Cotto is near the Ranch. It has a high customer rating, serves Japanese food and caters to kids.']
Example Output:
SIMILAR