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[restaurant], food[Japanese], area[city centre]
Example Output: The Japanese restaurant, Aromi, is located in the City Centre

Example Input: name[The Dumpling Tree], eatType[coffee shop], priceRange[£20-25], area[riverside], familyFriendly[yes], near[Café Sicilia]
Example Output: For a lovely Café meal in a family friendly setting try The Dumpling Tree. It is reasonably priced and family friendly. Located near Café Sicilia in the riverside area.

Example Input: name[Cocum], eatType[coffee shop], food[French], priceRange[less than £20], customer rating[average], familyFriendly[yes]
Example Output:
There is a French coffee shop called Cocum. It serves cheap food.