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]: The Plough is a restaurant near Express by Holiday Inn  that's not family-friendly.
[EX A]: name[The Plough], eatType[restaurant], familyFriendly[no], near[Express by Holiday Inn]

[EX Q]: Alimentum is a family friendly burger joint that is cheap.
[EX A]: name[Alimentum], food[Fast food], priceRange[less than £20], area[riverside], familyFriendly[yes]

[EX Q]: Giraffe coffee Shop is near The Bakers, it is family friendly with a price range of less than £20. Customers have given it an Average rating.
[EX A]:
name[Giraffe], eatType[coffee shop], priceRange[less than £20], customer rating[average], familyFriendly[yes], near[The Bakers]