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.

Ex Input:
name[The Rice Boat], food[Italian], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[no], near[Express by Holiday Inn]

Ex Output:
The Rice Boat is a very highly rated but low-priced riverside restaurant.  It is located in riverside, near the Express by Holiday Inn, and is not family-friendly.


Ex Input:
name[Browns Cambridge], eatType[coffee shop], food[French], customer rating[5 out of 5], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]

Ex Output:
A coffee shop that serves French food and highly rated is Browns Cambridge. It is not family-friendly, but it is by the riverside near Crowne Plaza Hotel.


Ex Input:
name[Midsummer House], food[Italian], priceRange[less than £20], customer rating[low], near[All Bar One]

Ex Output:

Midsummer House is a low cost restaurant serving pastas and wines located a short distance from All Bar One.