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.

[EX Q]: Wildwood is a pub that serves sushi at a mid-range price level. It is not highly rated.
[EX A]: name[Wildwood], eatType[pub], food[Japanese], priceRange[moderate], customer rating[1 out of 5]

[EX Q]: A high priced restaurant near the river is Alimentum.  This is a five star restaurant located next to Yippee Noodle Bar.
[EX A]: name[Alimentum], food[Fast food], priceRange[more than £30], customer rating[high], area[riverside], near[Yippee Noodle Bar]

[EX Q]: The Japanese restaurant, The Golden Curry, is a restaurant that is not family-friendly and has low customer ratings.
[EX A]:
name[The Golden Curry], food[Japanese], customer rating[low], familyFriendly[no]