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 Q]: name[The Waterman], eatType[pub], food[English], customer rating[5 out of 5], area[city centre]
[EX A]: For highly rated English pub food try The Waterman in city centre.

[EX Q]: name[Strada], food[Japanese], priceRange[less than £20], customer rating[low], familyFriendly[yes], near[Rainbow Vegetarian Café]
[EX A]: Strada Japanese food is located near Rainbow Vegetarian Café. They have low ratings, they are family friendly, and their prices range less than 20.

[EX Q]: name[The Eagle], eatType[coffee shop], food[Italian], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Burger King]
[EX A]:
The Eagle is eat type coffee shop providing Italian food near Burger King riverside area.