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: ['Cocum is a cheaply priced coffee shop, offering fast food and drinks. It is rated 3 stars and is ideal for families.', 'There is a cheap coffee shop named Cocum, rated average by customers. The place offers Fast food and is family friendly.']
Example Output: SIMILAR

Example Input: ['Halimah Yacob is a leader of Singapore, where English is one of the languages and a popular dish is Beef kway teow. This dish is popular nationwide and also in Indonesia.', 'Beef kway teow is a popular dish in Indonesia and Singapore. One of the languages spoken in Singapore is English and the leader is Halimah Yacob.']
Example Output: SIMILAR

Example Input: ['Egg Harbor Township, NJ United States is the home of Atlantic City International Airport 23.0 metres above sea level.', 'Kansas City, USA is the home of the Bacon Explosion it includes sausage and bacon.']
Example Output:
DISSIMILAR