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 highly rated Japanese coffee shop near Ranch.  Prices are average.
[EX A]: name[Wildwood], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[high], near[Ranch]

[EX Q]: The Vaults is a kids-friendly fast food restaurant with an average price range of £20-25.
[EX A]: name[The Vaults], food[Fast food], priceRange[£20-25], familyFriendly[yes]

[EX Q]: The Waterman is a high-priced restaurant in the city centre that is not children friendly.
[EX A]:
name[The Waterman], food[Chinese], priceRange[high], customer rating[average], area[city centre], familyFriendly[no]