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 Eagle], eatType[coffee shop], food[French], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[no], near[Burger King]
Example Output: The Eagle is a coffee shop that serves French food. It is located in the center of the city near Burger King. It is not family-friendly. The customer rating is low and the price range is less than £20.

Example Input: name[The Rice Boat], food[Fast food], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[no], near[Express by Holiday Inn]
Example Output: The Rice Boat, located in the city centre neat Express by Holiday Inn, is a high priced fast food restaurant. It has a one of five customer rating and us not children friendly.

Example Input: name[Alimentum], food[Indian], priceRange[moderate], customer rating[3 out of 5], area[city centre], near[Yippee Noodle Bar]
Example Output:
In the city centre near the Yippee Noodle Bar you will find Alimentum.  An Indian restaurant with moderate ratings and prices

