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: Blue Spice is an average priced, children friendly restaurant in the riverside area with an average customer rating of 3 out of 5

Answer: name[Blue Spice], priceRange[£20-25], customer rating[3 out of 5], area[riverside], familyFriendly[yes]


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: In the city centre, near the Crowne Plaza Hotel is an adult orientated, Fast food serving, coffee shop called Browns Cambridge. Customer ratings are average.

Answer:
name[Browns Cambridge], eatType[coffee shop], food[Fast food], customer rating[average], area[city centre], familyFriendly[no], near[Crowne Plaza Hotel]