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[Green Man], eatType[pub], food[Italian], area[riverside], near[Café Rouge]
Example Output: Green Man is a pub near Café Rouge on the riverside. It offers Italian food.

Example Input: name[The Rice Boat], food[Fast food], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Express by Holiday Inn]
Example Output: The moderately priced fast food establishment The Rice Boat can be found in the riverside area neat the Express by Holiday Inn. it is kids friendly and has been rated 1 out of 5 by previous customers.

Example Input: name[The Punter], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[3 out of 5], familyFriendly[yes], near[Café Sicilia]
Example Output:
The Punter is a cheap coffee shop that is 3 star and serves sushi. It is near Café Sicilia