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[Fitzbillies], eatType[coffee shop], food[Fast food], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[yes]
Example Output: A coffee shop  located near the Riverside area  Fitzbillies is in the low price range and customers have rated it poorly. Its name is Fitzbillies.

Example Input: name[Aromi], eatType[restaurant], food[Japanese], area[city centre]
Example Output: The Japanese restaurant, Aromi, is located in the City Centre

Example Input: name[The Eagle], eatType[coffee shop], food[Italian], priceRange[moderate], customer rating[3 out of 5], area[riverside], familyFriendly[no], near[Burger King]
Example Output:
There is an Italian coffee shop called The Eagle that is not kid friendly. It is located near Burger King and in riverside. It has a customer rating of 3 out of 5.