In this task, we ask you convert a data table of restaurant descriptions into fluent natural-sounding English sentences. The input is a string of key-value pairs; the output should be a natural and grammatical English sentence containing all the information from the input.

Input: Consider Input: name[The Waterman], food[Chinese], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[no]

Output: The Waterman provides Chinese food. Its price range is moderate and it has a customer rating of 1 out of 5. It is in the city centre and it is not kids friendly.


Input: Consider Input: name[The Eagle], eatType[coffee shop], food[French], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Burger King]

Output: A good coffee shop that received a customer rating of 5 out of 5 is The Eagle. It is in the riverside area near the Burger King. It costs more than 30 pounds and is kid friendly.


Input: Consider Input: name[The Eagle], eatType[coffee shop], food[Fast food], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[yes], near[Burger King]


Output: There is an expensive coffee shop The Eagle that provides fast food. It is located in the center of the city near Burger King. It has 1 out of 5 customer ratings and is friendly to families.