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 Wrestlers], eatType[coffee shop], food[Japanese], priceRange[less than £20], area[city centre], familyFriendly[yes], near[Raja Indian Cuisine]

Ex Output:
The city centre has Japanese food via a coffee shop, The Wrestlers. family-friendly and less than £20, this eatery is located near Raja Indian Cuisine.


Ex Input:
name[The Eagle], eatType[coffee shop], food[French], priceRange[less than £20], customer rating[average], area[city centre], familyFriendly[yes], near[Burger King]

Ex Output:
The Eagle is a family-friendly coffee shop with French cuisine. Prices are less than £20. Customers give it an average rating. It is located in the city centre near a Burger King.


Ex Input:
name[The Waterman], food[Fast food], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[no]

Ex Output:

The Waterman is a high priced, fast-food restaurant in the riverside area.  Customer reviews of the restaurant give it a 1 out of 5.  This is not a  children friendly location.