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.

Example Input: name[Aromi], eatType[coffee shop], food[Japanese], customer rating[5 out of 5], area[riverside], familyFriendly[yes]
Example Output: Aromi is a Japanese coffee shop by the river. It is family friendly and tasty.

Example Input: name[The Dumpling Tree], eatType[restaurant], food[Chinese], priceRange[more than £30]
Example Output: The Dumpling Tree is a restaurant providing Chinese food in the more than £30 price range.

Example Input: name[Cocum], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[low], familyFriendly[yes]
Example Output:
Serving Japanese food is Cocum coffee shop. Though with a low customer rating, Cocum is family friendly and the price range is under £20.