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[Green Man], food[Japanese], priceRange[moderate], area[riverside], familyFriendly[no], near[All Bar One]

Ex Output:
Green Man is a medium priced take away delivery service, located by the All Bar One.


Ex Input:
name[The Punter], eatType[coffee shop], food[French], priceRange[£20-25], customer rating[3 out of 5], familyFriendly[no], near[Café Sicilia]

Ex Output:
The Punter has a customer rating of 3 out of 5, because their price range is £20-25. It is located near Café Sicilia and is not kids friendly, because it is a coffee shop and they serve French food.


Ex Input:
name[The Punter], eatType[coffee shop], food[Italian], priceRange[£20-25], customer rating[high], familyFriendly[yes], near[Café Sicilia]

Ex Output:

The Punter is a kid-friendly Italian coffee shop located near Café Sicilia that was ranked high by customers