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: Aromi is coffee shop that has Italian food and high customer rating. It is riverside and children friendly.

Answer: name[Aromi], eatType[coffee shop], food[Italian], customer rating[high], area[riverside], familyFriendly[yes]


Question: Alimentum is an expensive Chinese restaurant in the city centre that is child friendly.

Answer: name[Alimentum], food[Chinese], priceRange[high], area[city centre], familyFriendly[yes]


Question: There is a children friendly Fast food restaurant called Loch Fyne. The price range is more than £30.

Answer:
name[Loch Fyne], eatType[restaurant], food[Fast food], priceRange[more than £30], familyFriendly[yes]