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[The Punter], eatType[coffee shop], food[Fast food], priceRange[cheap], customer rating[average], familyFriendly[no], near[Café Sicilia]

SOLUTION: The Punter, a Fast food place near Café Sicilia, has an average customer rating. It is not family-friendly, is cheap, and a coffee shop.

PROBLEM: name[The Vaults], eatType[coffee shop], priceRange[high], customer rating[3 out of 5], area[riverside], near[Café Brazil]

SOLUTION: The Vaults, a City Centre coffee shop with a river view, is priced as a mid-range shop. Café Brazil, a neighboring establishment, is less than a block away along that same river.

PROBLEM: name[The Olive Grove], eatType[pub], food[Indian], priceRange[cheap], area[riverside], familyFriendly[yes]

SOLUTION:
Located riverside is The Olive Grove, which serves cheap Indian food. It is a family friendly pub.