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 Rice Boat], food[Fast food], customer rating[3 out of 5], area[riverside], familyFriendly[yes]
Example Output: The Rice Boat  serves Fast food  near the riverside is kid-friendly and as a customer rating of 3 out of 5

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[Browns Cambridge], eatType[coffee shop], food[Japanese], customer rating[5 out of 5], area[city centre], familyFriendly[no], near[Crowne Plaza Hotel]
Example Output:
Japanese coffee shop called Browns Cambridge near Crowne Plaza Hotel in the city centre. It has a customer rating of 5 out of 5, but it is not family-friendly.