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]: Eat in Browns Cambridge. French food for less than £20 but  has a low  customer rating
[A]: name[Browns Cambridge], food[French], priceRange[less than £20], customer rating[low]


[Q]: Green Man is located in riverside with a moderate price range and is not kids friendly.
[A]: name[Green Man], priceRange[moderate], area[riverside], familyFriendly[no]


[Q]: For an child friendly, average coffee shop serving fast food try The Eagle, riverside near Burger King
[A]:
name[The Eagle], eatType[coffee shop], food[Fast food], priceRange[high], customer rating[average], area[riverside], familyFriendly[yes], near[Burger King]