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[The Waterman], food[Chinese], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[no]
Example Output: The Waterman provides Chinese food in the cheap price range. It is located in the riverside. Its customer rating is 5 out of 5.

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

Example Input: name[The Wrestlers], food[Indian], priceRange[more than £30], customer rating[high], familyFriendly[no]
Example Output:
An Indian restaurant named The Wrestlers has a price range of more than 30 pounds. It has a high customer rating and is not children friendly.