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 Eagle], eatType[coffee shop], food[Indian], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[yes], near[Burger King]
Example Output: The Eagle is a low rated coffee shop in the riverside area, near Burger King. They also serve Indian food for less than £20 in a family friendly setting.

Example Input: name[The Plough], eatType[pub], food[Italian], priceRange[£20-25], familyFriendly[yes], near[Café Rouge]
Example Output: There is a pub named The Plough located near Café Rouge that is kid friendly and offers Italian food at a price range between £20 to £25.

Example Input: name[Browns Cambridge], eatType[coffee shop], food[Fast food], customer rating[low], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]
Example Output:
Browns Cambridge is not recommended for families.  It's a low rated coffee shop serving fast food.  It's located in the riverside area, close to Crowne Plaza Hotel.