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[Browns Cambridge], eatType[coffee shop], food[French], customer rating[5 out of 5], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]
[EX A]: A coffee shop that serves French food and highly rated is Browns Cambridge. It is not family-friendly, but it is by the riverside near Crowne Plaza Hotel.

[EX Q]: name[The Vaults], food[English], priceRange[less than £20], familyFriendly[yes]
[EX A]: The Vaults is a cheap family friendly restaurant offering English food.

[EX Q]: name[The Waterman], food[Fast food], priceRange[cheap], customer rating[average], area[city centre], familyFriendly[no]
[EX A]:
Located in the center of the city is a Fast food restaurant named The Waterman that has a cheap price range and a average customer rating that is not family-friendly.