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: ['Arem-arem, with ingredients such as banana leaf, vegetables and minced meat is a javanese dish which can be served as a main course.', 'The main course Arem-arem is a dish of Javanese cuisine and is also popular in Indonesia. The main ingredients are rice cooked in banana leaf with vegetables or minced meat fillings.']
Example Output: SIMILAR

Example Input: ['In the city centre there is a mid rated coffee shop called Fitzbillies,of French styling and unfortunately not for children. Costs are reasonably low also', 'Fitzbillies coffee shop serves French food in the less that £20 price range and has a customer rating. It is located in the City Centre but is not family-friendly']
Example Output: SIMILAR

Example Input: ['A children friendly coffee shop that serves Indian food is Taste of Cambridge and is located near Crowne Plaza Hotel.', 'Taste of Cambridge is a coffee shop that is children friendly that serves Indian food and is near Crowne Plaza Hotel.']
Example Output:
SIMILAR