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[Giraffe], eatType[pub], food[French], area[city centre], familyFriendly[yes]

Ex Output:
Giraffe is a family-friendly pub ,serving high quality French food. It is located in the city centre.


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[The Golden Palace], eatType[coffee shop], food[Italian], priceRange[high], customer rating[average], area[riverside]

Ex Output:

The Golden Palace is a coffee shop that provides Italian. It is located by the riverside with an average customer rating and a high price range.