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]: A child friendly English restaurant but with a high price range is Loch Fyne.
[EX A]: name[Loch Fyne], eatType[restaurant], food[English], priceRange[high], familyFriendly[yes]

[EX Q]: Browns Cambridge is a hamburger joint that has an average rating of 3 out of 5 stars and is low priced.
[EX A]: name[Browns Cambridge], food[Fast food], priceRange[less than £20], customer rating[average]

[EX Q]: The Golden Palace restaurant offers prices less than £20.
[EX A]:
name[The Golden Palace], eatType[restaurant], priceRange[less than £20]