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.

Ex Input:
['Fitzbillies is an average priced, fast food restaurant in the city center. The coffee shop is not kid friendly and is rated highly among customers.', 'The coffee shop, Fitzbillies, is an average priced fast food restaurant located in the city center. It is rated highly among customers and is not kid friendly.']

Ex Output:
SIMILAR


Ex 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.']

Ex Output:
SIMILAR


Ex Input:
["Barney cakes were founded by Chicago's Mondelez International in France (led by Manuel Valls and Francois Hollande).", "Barny Cakes originates from France where the country's leaders are Francois Hollande and Manuel Valls. Mondelez International is the creator of the dessert and the company was founded in Chicago."]

Ex Output:

SIMILAR