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 Q]: ['United States national Elliot See was born in Dallas. He graduated from the University of Texas at Austin, an affiliation of the university of Texas system, and later served as a test pilot. He passed away in St. Louis.', 'Elliot See has died in St Louis. Born in Dallas he was a US national and attended the University of Texas at Austin which is affiliated the the University of Texas system. He then became a test pilot,.']
[EX A]: SIMILAR

[EX Q]: ['Asian Americans are an ethnic group in the United States, where Bacon Explosion comes from.', 'Bacon Explosion comes from the United States where Asian Americans are an ethnic group.']
[EX A]: SIMILAR

[EX Q]: ['Loch Fyne is a high priced Italian restaurant, but yes, you can take kids.', 'Phil Taylor sealed victory with a 144 checkout and 105.73 3-dart average.']
[EX A]:
DISSIMILAR