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[Italian], priceRange[cheap], customer rating[average], area[city centre], familyFriendly[yes]
Example Output: An Italian family-friendly venue, The Waterman is an average rated, cheap venue in the city centre

Example Input: name[The Mill], eatType[coffee shop], food[French], priceRange[less than £20], area[riverside], near[The Sorrento]
Example Output: The Mill is a beautiful riverside coffee shop that offers affordable and delicious small bites from around the world.  It is just down the road from The Sorrento

Example Input: name[Browns Cambridge], food[Fast food], area[riverside], familyFriendly[yes], near[The Sorrento]
Example Output:
Browns Cambridge is a kids-friendly Fast food, near The Sorrento on a riverside.