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:
['Turkmenistan Airlines is the operating organization for Ashgabat International Airport which is located in Ashgabat. It is elevated 211 metres above sea level and has a runway length of 3800.0.', 'Ashgabat International Airport in Ashgabat is operated by Turkmenistan Airlines. It is located 211 metres above sea level and has a runway length of 3800.0.']

Ex Output:
SIMILAR


Ex Input:
['The Dumpling Tree pub, located near The Portland Arms, offers Japanese food. It is not family-friendly.', 'Olga won her event at the Bangkok Universiade.']

Ex Output:
DISSIMILAR


Ex Input:
['The price range is a little high, but Wildwood coffee shop caters for a range of requirements for Italian food.  With is location near a Ranch, customers rate it as average.', 'Wildwood is a coffee shop, located near a Ranch.  Although the price range is a little high and with an average customer rating, it is possible to pick up a range of Italian food.']

Ex Output:

SIMILAR