TASK DEFINITION: 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.
PROBLEM: name[Browns Cambridge], eatType[coffee shop], food[Italian], customer rating[low], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]

SOLUTION: Browns Cambridge serves Italian food and is family-friendly. Just along the riverbank from the Crown Plaza Hotel, it only has a one-star rating so far.

PROBLEM: name[Aromi], eatType[coffee shop], food[Japanese], customer rating[5 out of 5], area[city centre], familyFriendly[yes]

SOLUTION: In the city centre area is a Japanese restaurant named Aromi. It is a coffee shop with a customer rating of 5 out of 5.

PROBLEM: name[Wildwood], eatType[pub], food[French], priceRange[more than £30], customer rating[5 out of 5]

SOLUTION:
Pub with customer rating of 5 out of 5 sells French food with a price range of more than £30, which includes Wildwood.