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.

Q: name[The Waterman], food[Chinese], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[no]

A: The Waterman provides Chinese food in the cheap price range. It is located in the riverside. Its customer rating is 5 out of 5.
****
Q: name[The Golden Curry], food[English], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Café Rouge]

A: The Golden Curry  serves English dishes, and is child friendly. It is in the riverside district near Café Rouge, but it has a 1 out of 5 star rating.
****
Q: name[The Punter], eatType[coffee shop], food[Indian], priceRange[£20-25], customer rating[high], familyFriendly[yes], near[Café Sicilia]

A:
The Punter, which is an Indian-serving coffee shop near Café Sicilia, has a price range of £20-25, is kid friendly and has a high customer rating.
****