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:
['Barny cakes, which are made of sponge cake, can be found in France, where French is the language spoken and where Manual Valls and Claude Bartolone are leaders.', 'Barny cakes, made with sponge cakes, can be found in France, where they speak French and their leaders are Claude Bartolone and Manuel Valls.']

Ex Output:
SIMILAR


Ex Input:
['Corinna May won first place with 32.60% of the votes.', 'Sam Simmons had 197 total receiving yards, with an average of 13.1 yards/reception.']

Ex Output:
DISSIMILAR


Ex Input:
['there is a coffee shop  that is not child friendly which has customer ratings of 3 out of 5 and  which serves Italian food called The Punter which is near Café Sicilia', 'The Rice Boat will serve up Japanese food with in the £20-25 price range near the Express by Holiday Inn in riverside with a no children policy we have 3 out of 5 stars.']

Ex Output:

DISSIMILAR