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 Punter], eatType[coffee shop], food[Italian], priceRange[high], customer rating[1 out of 5], familyFriendly[yes], near[Café Sicilia]
Example Output: A high-priced Italian food coffee shop, The Punter has a low customer rating, is children friendly and is located near Café Sicilia.

Example Input: name[The Wrestlers], food[Fast food], priceRange[cheap], customer rating[average], familyFriendly[yes]
Example Output: The Wrestlers provides a family-Friendly atmosphere with cheap prices, fast food, and an average consumer rating.

Example Input: name[Aromi], eatType[coffee shop], food[Fast food], customer rating[low], area[city centre], familyFriendly[no]
Example Output:
Aromi is a fast food coffee shop in an adult only atmosphere located in the city centre with low ratings.