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], food[Indian], priceRange[cheap], area[riverside], familyFriendly[yes], near[All Bar One]
Example Output: A family friendly Indian restaurant riverside is the Green Man.  It is inexpensive and located near All Bar One.

Example Input: name[Zizzi], eatType[coffee shop], priceRange[less than £20], customer rating[average], area[riverside], familyFriendly[yes]
Example Output: Zizzi is a family-friendly coffee shop located in riverside with an average rating and prices less than £20.

Example Input: name[The Rice Boat], food[Italian], priceRange[cheap], customer rating[average], area[riverside], familyFriendly[no], near[Express by Holiday Inn]
Example Output:
The Rice Boat, near Express by Holiday Inn, located in riverside, is a cheap Italian restaurant. It has average customer ratings and is not family-friendly.