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.

Input: Consider Input: name[The Golden Curry], food[Fast food], customer rating[average], area[city centre], familyFriendly[yes], near[Café Rouge]

Output: The Golden Curry is a family-friendly, fast food restaurant with an average rating. It is located in the centre of the city near Café Rouge.


Input: Consider Input: name[The Waterman], food[English], priceRange[cheap], customer rating[average], area[city centre], familyFriendly[yes]

Output: The Waterman is a family-friendly restaurant that serves English food in the city centre. It is a cheap restaurant and has an average customer rating.


Input: Consider Input: name[The Eagle], eatType[coffee shop], food[Indian], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[no], near[Burger King]


Output: The Eagle is a coffee shop with Indian food ranging in 20-25 pounds.  This establishment has high customer ratings.  They are located in the centre of the city near Burger King and do not allow children.