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[The Wrestlers], eatType[coffee shop], food[Italian], priceRange[high], area[city centre], familyFriendly[yes], near[Raja Indian Cuisine]

Output: A high priced Italian restaurant and coffee shop that is children friendly is called The Wrestlers. It is in the city centre near Raja Indian Cuisine.


Input: Consider Input: name[Browns Cambridge], food[English], priceRange[moderate], customer rating[1 out of 5]

Output: Browns Cambridge is an urban pub that sells poor quality food for middling  prices.


Input: Consider Input: name[The Punter], eatType[coffee shop], food[French], priceRange[less than £20], customer rating[average], familyFriendly[no], near[Café Sicilia]


Output: A French coffee shop, The Punter, is not family-friendly, provides average service at less than £20 near Café Sicilia