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[Fast food], priceRange[cheap], customer rating[average], familyFriendly[no], near[Café Sicilia]

Ex Output:
The Punter, a Fast food place near Café Sicilia, has an average customer rating. It is not family-friendly, is cheap, and a coffee shop.


Ex Input:
name[Fitzbillies], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[3 out of 5], area[riverside], familyFriendly[yes]

Ex Output:
The coffee shop that serves Japanese food and is kid friendly by the riverside is Fitzbillies. The price range is £20-25 and the customer rating is 3 out of 5 stars.


Ex Input:
name[Giraffe], eatType[pub], food[Fast food], area[city centre], familyFriendly[no]

Ex Output:

Giraffe is not family friend. It is a fast food pub in the city centre.