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[Travellers Rest Beefeater], priceRange[less than £20], customer rating[average], area[riverside], near[Café Adriatic]
[EX A]: The inexpensive Travellers Rest Beefeater is in the riverside area near Café Adriatic and serves average food.

[EX Q]: name[Browns Cambridge], eatType[coffee shop], food[French], customer rating[3 out of 5], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]
[EX A]: 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.

[EX Q]: name[Cocum], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], familyFriendly[yes]
[EX A]:
child-friendly Cocum Japanese coffee shop, priced at £30 has a low customers rating .