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.

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

Example Input: ['You can find an average Japanese restaurant in the city center called The Waterman that is family-friendly and costs less than £20.', 'Located in the city centre, The Waterman is a family-friendly Japanese restaurant. Meals are less than £20, and customer ratings for this restaurant are low.']
Example Output: SIMILAR

Example Input: ['The episode with title interplanet janet is performed by lynn ahrens.', 'Wildwood is a highly rated Japanese coffee shop near Ranch.  Prices are average.']
Example Output:
DISSIMILAR