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[The Waterman], eatType[pub], food[French], customer rating[high], area[riverside]
Example Output: The Waterman with French food has a high customer rating. This pub is in the riverside area

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[Clowns], eatType[pub], priceRange[more than £30], customer rating[low], area[city centre]
Example Output:
Clowns is a low rated pub that costs more than 30 and is located at the city centre.