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.

Ex Input:
name[The Punter], eatType[coffee shop], food[Italian], priceRange[high], customer rating[1 out of 5], familyFriendly[yes], near[Café Sicilia]

Ex Output:
A high-priced Italian food coffee shop, The Punter has a low customer rating, is children friendly and is located near Café Sicilia.


Ex Input:
name[Browns Cambridge], food[Chinese], priceRange[high], customer rating[1 out of 5]

Ex Output:
Browns Cambridge provides Chinese food in the high price range. Its customer rating is 1 out of 5.


Ex Input:
name[Clowns], eatType[coffee shop], food[French], customer rating[low], area[riverside], near[Clare Hall]

Ex Output:

Clowns is a new coffee shop serving French cuisine and with a low customer rating. It is located riverside and it is near Clare Hall.