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[Cocum], eatType[coffee shop], food[Italian], priceRange[£20-25], customer rating[high], familyFriendly[yes]
Example Output: Cocum is a well-respected Italian coffee shop, offering food at the higher price range. It is child-friendly.

Example Input: name[The Punter], eatType[coffee shop], food[Italian], priceRange[£20-25], customer rating[high], familyFriendly[yes], near[Café Sicilia]
Example Output: The Punter is a kid-friendly Italian coffee shop located near Café Sicilia that was ranked high by customers

Example Input: name[The Twenty Two], priceRange[more than £30], customer rating[low], area[riverside], familyFriendly[yes], near[The Rice Boat]
Example Output:
The Twenty Two is in the riverside area. It is located near The Rice Boat. It provides children friendly activities.

