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 Bakers which has a price range of less than £20 was given an average rating by the Giraffe for a non family-friendly coffee shop
[EX A]: name[Giraffe], eatType[coffee shop], priceRange[less than £20], customer rating[average], familyFriendly[no], near[The Bakers]

[EX Q]: Browns Cambridge provides cheap Chinese food with an average customer rating.
[EX A]: name[Browns Cambridge], food[Chinese], priceRange[cheap], customer rating[average]

[EX Q]: The Golden Curry provides Indian food Its customer rating is low.
[EX A]:
name[The Golden Curry], food[Indian], customer rating[low], familyFriendly[yes]