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[Browns Cambridge], eatType[coffee shop], food[French], customer rating[3 out of 5], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]
Example Output: In the Riverside area close to the Crowne Plaza Hotel, there is a coffee shop called Browns Cambridge serving French food which is child Friendly.

Example Input: name[The Plough], eatType[pub], food[Indian], priceRange[high], familyFriendly[no], near[Café Rouge]
Example Output: The Plough is a high priced Indian pub near Café Rouge.

Example Input: name[The Golden Curry], food[Japanese], customer rating[low], familyFriendly[no]
Example Output:
The Japanese restaurant, The Golden Curry, is a restaurant that is not family-friendly and has low customer ratings.