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 Waterman], food[Indian], priceRange[moderate], customer rating[3 out of 5], area[city centre], familyFriendly[yes]

Ex Output:
The Waterman is an Indian restaurant located in the centre of the city. It has a moderate price range and a customer rating of 3 out of 5, and it is kid friendly.


Ex Input:
name[The Rice Boat], food[Italian], customer rating[average], area[riverside], familyFriendly[yes]

Ex Output:
There is a restaurant The Rice Boat that provides a high quality foods. It is opened to all age groups.


Ex Input:
name[The Punter], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], familyFriendly[no], near[Café Sicilia]

Ex Output:

The Punter is a coffee shop located near Café Sicilia. They serve traditional Japanese food in the medium price range. It is rated one star and has no public restroom.