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 kid friendly coffee shop is Cocum, offering high customer ratings and £30 dining options.
[EX A]: name[Cocum], eatType[coffee shop], food[English], priceRange[more than £30], customer rating[high], familyFriendly[yes]

[EX Q]: There is an Italian coffee shop called Cocum.  It is not children friendly.
[EX A]: name[Cocum], eatType[coffee shop], food[Italian], priceRange[high], customer rating[average], familyFriendly[no]

[EX Q]: The Golden Palace is a coffee shop that provides Italian. It is located by the riverside with an average customer rating and a high price range.
[EX A]:
name[The Golden Palace], eatType[coffee shop], food[Italian], priceRange[high], customer rating[average], area[riverside]