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.

Input: Consider Input: name[Browns Cambridge], eatType[coffee shop], food[Fast food], customer rating[low], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]

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.


Input: Consider Input: name[Fitzbillies], eatType[coffee shop], food[Fast food], priceRange[£20-25], customer rating[high], area[riverside], familyFriendly[no]

Output: Fitzbillies located in riverside is an adult only moderately priced highly rated fast food coffee shop


Input: Consider Input: name[The Punter], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[average], familyFriendly[no], near[Café Sicilia]


Output: The cheap coffee shop named The Punter also offers Italian food. It is not family-friendly and rated average by the customers.  The Punter is located near Café Sicilia.