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: ['Asam pedas is a dish from Sumatra which is a food found in Malaysia.', 'Sumatran dish asam pedas is found in Malaysia.']
Example Output: SIMILAR

Example Input: ['A Loyal Character Dancer is published by Soho Press in the U.S. The language spoken there is English, which was originated in Great Britain. One ethnic group of the U.S. is African American.', 'A Loyal Character Dancer was published by Soho Press in the United States where African American is an ethnic group and like in Great Britain, English is spoken.']
Example Output: SIMILAR

Example Input: ['Green Man is located near All Bar One and in city centre. It has Japanese food, price range is more than £30, and is not kid friendly.', 'Japanese food that is not child friendly is near All Bar One called Green Man. Located city centre and price range is more than £30.']
Example Output:
SIMILAR