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: The Golden Curry offers English food at a high price. It is near The Bakers. It should be noted that it is not kids friendly.

Answer: name[The Golden Curry], food[English], priceRange[high], familyFriendly[no], near[The Bakers]


Question: Eat in Browns Cambridge. French food for less than £20 but  has a low  customer rating

Answer: name[Browns Cambridge], food[French], priceRange[less than £20], customer rating[low]


Question: The coffee shop that serves Japanese food and is kid friendly by the riverside is Fitzbillies. The price range is £20-25 and the customer rating is 3 out of 5 stars.

Answer:
name[Fitzbillies], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[3 out of 5], area[riverside], familyFriendly[yes]