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.

['108 St Georges Terrace has a floor count of 50.', 'There are 108 St Georges Terrace floors at 50.']
DISSIMILAR

["Zizzi is a high priced coffee shop  in the riverside area, with an average customer rating, and yes it's kid friendly", "In the riverside area there is Zizzi. A average rated, high priced coffee shop, and yes it's kid friendly,"]
SIMILAR

['The kid friendly Blue Spice in the city centre has a customer rating of 3 out of 5. The price range is £20-25.', 'Armstrong had 12025 votes for Kerry and 18925 votes for Bush.']

DISSIMILAR