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[Browns Cambridge], food[Chinese], priceRange[moderate], customer rating[3 out of 5]
[EX A]: A restaurant called Browns Cambridge sells average Chinese food at an moderate price.

[EX Q]: name[The Waterman], food[English], priceRange[cheap], customer rating[average], area[city centre], familyFriendly[yes]
[EX A]: The Waterman is a family-friendly restaurant that serves English food in the city centre. It is a cheap restaurant and has an average customer rating.

[EX Q]: name[The Cricketers], eatType[coffee shop], food[French], customer rating[low], familyFriendly[yes], near[The Portland Arms]
[EX A]:
A family friendly coffee shop names The Cricketers serves French food.  It has a low customer rating and is located near The Portland Arms.