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.
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Question: Near The Bakers is a Japanese restaurant called The Golden Curry that is kids friendly and has food for 20-25 dollars.

Answer: name[The Golden Curry], food[Japanese], priceRange[£20-25], familyFriendly[yes], near[The Bakers]


Question: Near Café Rouge is Midsummer House. It is a 5 star English food restaurant.

Answer: name[Midsummer House], food[English], customer rating[5 out of 5], near[Café Rouge]


Question: The Cambridge Blue pub is expensive and offers gourmet burgers

Answer:
name[The Cambridge Blue], eatType[pub], food[Fast food], priceRange[high], near[Café Brazil]