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[The Phoenix], food[French], priceRange[cheap], customer rating[5 out of 5], area[city centre]

Output: A cheap place to eat in the city centre is The Phoenix.  It's a French restaurant and has a customer rating of 5 out of 5.


Input: Consider Input: name[The Wrestlers], food[Fast food], priceRange[less than £20], customer rating[low], familyFriendly[no]


Output: For cheap, fast food, there is The Wrestlers. Customers have rated it low, and it is not family-friendly.