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: A coffee shop located on the riverside called The Golden Palace, has a 5 out of 5 customer rating. its price range are fairly cheap for it's excellent Fast food.

Answer: name[The Golden Palace], eatType[coffee shop], food[Fast food], priceRange[cheap], customer rating[5 out of 5], area[riverside]


Question: The Waterman restaurant is not kid friendly, has a customer rating of 1 out of 5 and a moderate price range.  Serves Chinese food in the riverside area.

Answer: name[The Waterman], food[Chinese], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[no]


Question: The Cricketers is located near The Portland Arms.  This coffee shop offers Japanese food and currently has a customer rating of 3 out of 5.  Kids Friendly - yes.

Answer:
name[The Cricketers], eatType[coffee shop], food[Japanese], customer rating[3 out of 5], familyFriendly[yes], near[The Portland Arms]