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.

name[The Eagle], eatType[coffee shop], food[French], priceRange[more than £30], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Burger King]
A good coffee shop that received a customer rating of 5 out of 5 is The Eagle. It is in the riverside area near the Burger King. It costs more than 30 pounds and is kid friendly.

name[The Waterman], food[Chinese], priceRange[cheap], customer rating[average], area[riverside], familyFriendly[no]
The Waterman is  a Chinese  restaurant that is cheap.  It is in riverside with an average rating and not family friendly.

name[The Punter], eatType[coffee shop], food[French], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes], near[Café Sicilia]

The Punter is an exclusive bakery shop serving coffee as well and it is located in Café Sicilia