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 Q]: name[Loch Fyne], eatType[restaurant], food[Italian], priceRange[less than £20], familyFriendly[yes]
[EX A]: Loch Fyne is a cheap place to eat so good on a budget.

[EX Q]: name[The Punter], eatType[coffee shop], food[Fast food], priceRange[cheap], customer rating[average], familyFriendly[no], near[Café Sicilia]
[EX A]: 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 Q]: name[Midsummer House], food[English], customer rating[average], near[Café Rouge]
[EX A]:
The Midsummer House is a restaurant serving English food with an average customer rating. It is located near the Café Rouge.