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: ['AWH Engineering College has a staff size of 250 and is in the city of Kuttikkattoor.', 'AWH Engineering College in Kuttikkattoor has an academic staff size of 250 people.']
Example Output: SIMILAR

Example Input: ['In the centre of the city, there is a restaurant called The Waterman.  It is a highly recommended, yet inexpensive, restaurant for families.', 'For a cheap, family-friendly, average restaurant located in the city centre, visit The Waterman.']
Example Output: SIMILAR

Example Input: ['A amazing French coffee shop is called the Taste of Cambridge. The coffee Shop is near the Crowne Plaza Hotel in riverside. They love kids.', 'The Taste of Cambridge is a riverside French coffee shop known for its popularity with kids. It is located near the Crowne Plaza Hotel.']
Example Output:
SIMILAR