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[Fitzbillies], eatType[coffee shop], food[Fast food], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[yes]
Example Output: A coffee shop  located near the Riverside area  Fitzbillies is in the low price range and customers have rated it poorly. Its name is Fitzbillies.

Example Input: name[The Wrestlers], eatType[coffee shop], food[Japanese], priceRange[less than £20], area[city centre], familyFriendly[yes], near[Raja Indian Cuisine]
Example Output: The city centre has Japanese food via a coffee shop, The Wrestlers. family-friendly and less than £20, this eatery is located near Raja Indian Cuisine.

Example Input: name[The Waterman], food[Fast food], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[yes]
Example Output:
The Waterman is a kid friendly restaurant with high customer ratings. It serves fast food and its dishes range between £20 and £25. It is located in the city centre.