TASK DEFINITION: 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.
PROBLEM: name[Clowns], priceRange[moderate], familyFriendly[yes], near[Café Sicilia]

SOLUTION: Clowns is located near Café Sicilia. It is moderate priced and kids friendly.

PROBLEM: name[Cocum], eatType[coffee shop], food[Italian], priceRange[high], customer rating[average], familyFriendly[no]

SOLUTION: There is an Italian coffee shop called Cocum.  It is not children friendly.

PROBLEM: name[Browns Cambridge], eatType[coffee shop], food[Japanese], customer rating[average], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]

SOLUTION:
Browns Cambridge, is a riverside Japanese coffee shop, near the Crowne Plaza Hotel, with an average customer rating, however it is not family-friendly.