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[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Avalon]

SOLUTION: There's a kid friendly coffee shop in the city centre named, Blue Spice, located near Avalon. With a 5 out of 5 customer rating and a higher price menu.

PROBLEM: name[The Plough], eatType[pub], food[Indian], priceRange[high], familyFriendly[no], near[Café Rouge]

SOLUTION: The Plough is a high priced Indian pub near Café Rouge.

PROBLEM: name[The Punter], eatType[coffee shop], food[English], priceRange[more than £30], customer rating[high], familyFriendly[yes], near[Café Sicilia]

SOLUTION:
The Punter is a child friendly coffee shop located near Café Sicilia. It has a high customer rating, and serves English food costing over 30 euro.