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:
["'Strada' is a pub with moderate price range selling Italian food. It is near Yippee Noodle Bar and has an average customer rating.", "'Strada' is a pub near Yippee Noodle Bar. It has an average customer rating and serves Italian food. The prices are moderate."]

Ex Output:
SIMILAR


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:
['Dallas Cowboys won at St. Louis Cardinals with an attendance of 50,129', 'The cheap city centre restaurant, Travellers Rest Beefeater, is not family friendly.']

Ex Output:

DISSIMILAR