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[Cocum], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[average], familyFriendly[yes]
Example Output: Cocum coffee shop provides sushi. It is family friendly, low priced and has a 3 star rating.

Example Input: name[Browns Cambridge], food[Indian], priceRange[high], customer rating[1 out of 5]
Example Output: Browns Cambridge serves low rated, high priced Indian food.

Example Input: name[The Golden Palace], eatType[coffee shop], food[French], priceRange[cheap], customer rating[5 out of 5], area[riverside]
Example Output:
There is a variety of wines, cheeses, and fondues to enjoy at The Golden Palace coffee shop.