In this task, we ask you to parse restaurant descriptions into a structured data table of key-value pairs. Here are the attributes (keys) and their examples values. You should preserve this order when creating the answer: 
 name: The Eagle,... 
 eatType: restaurant, coffee shop,... 
 food: French, Italian,... 
 priceRange: cheap, expensive,... 
 customerRating: 1 of 5 (low), 4 of 5 (high) 
 area: riverside, city center, ... 
 familyFriendly: Yes / No 
 near: Panda Express,...
 The output table may contain all or only some of the attributes but must not contain unlisted attributes. For the output to be considered correct, it also must parse all of the attributes existant in the input sentence; in other words, incomplete parsing would be considered incorrect.

[Q]: A children friendly coffee shop located in the riverside area near Café Sicilia, The Dumpling Tree has prices more than £30.
[A]: name[The Dumpling Tree], eatType[coffee shop], priceRange[more than £30], area[riverside], familyFriendly[yes], near[Café Sicilia]


[Q]: Wildwood is a restaurant providing take-away deliveries in the low price range. It is located in the city centre.
[A]: name[Wildwood], eatType[pub], food[English], priceRange[more than £30], customer rating[high]


[Q]: Fitzbillies is a family friendly coffee shop located near the riverside. It offers low cost Japanese cuisine, although does have a low customer rating.
[A]:
name[Fitzbillies], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[yes]