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.

Example Input: name[Aromi], eatType[coffee shop], food[Japanese], customer rating[low], area[riverside], familyFriendly[no]
Example Output: Aromi is a coffee shop which serves Japanese cuisine. It is located in the riverside area, with a low customer rating and it is not family-friendly.

Example Input: name[The Waterman], food[Chinese], priceRange[cheap], customer rating[average], area[riverside], familyFriendly[no]
Example Output: The Waterman is  a Chinese  restaurant that is cheap.  It is in riverside with an average rating and not family friendly.

Example Input: name[The Waterman], food[Italian], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[yes]
Example Output:
The Waterman is an Italian restaurant that is kid-friendly near the city center and is moderately priced with a customer rating of 1 out of 5.