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.

['The title of the episode directed by David von Ancken, with a episode number bigger than 16.0\'s "in utero.', 'Bibimbap House near The Rice Boat in riverside does Italian food.']
DISSIMILAR

["Atlantic City International Airport in Egg Harbor Township, N.J. serves Atlantic City in the U.S.A. The city's leader is Don Guardian.", 'The Phoenix is an above average Japanese eatery located in the city centre']
DISSIMILAR

['In 1994, the unemployment rate was 2.9 percent.', 'There are 12 candidates from Communist Party of India in state Andhra Pradesh']

DISSIMILAR