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[Taste of Cambridge], eatType[coffee shop], food[Indian], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]
[EX A]: Taste of Cambridge is a family friendly coffee shop on the riverside near the Crowne Plaza Hotel offering Indian food.

[EX Q]: name[The Punter], eatType[coffee shop], food[French], priceRange[less than £20], customer rating[average], familyFriendly[yes], near[Café Sicilia]
[EX A]: The Punter is a coffee shop near Café Sicilia. Their food is delicious and they have different wines.

[EX Q]: name[The Dumpling Tree], eatType[restaurant], food[Japanese], priceRange[more than £30]
[EX A]:
The Dumpling Tree is a Japanese restaurant that has a price range of more than £30.