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: Located near The Portland Arms, at the city centre, Cotto is an Italian coffee shop. Prices range more than £30. Customers have given it a high rating.

Answer: name[Cotto], eatType[coffee shop], food[Italian], priceRange[more than £30], customer rating[high], area[city centre], near[The Portland Arms]


Question: Aromi is a fast food coffee shop in an adult only atmosphere located in the city centre with low ratings.

Answer: name[Aromi], eatType[coffee shop], food[Fast food], customer rating[low], area[city centre], familyFriendly[no]


Question: There is a mid-priced, 3-star, family friendly coffee shop that also offers sushi, called Cocum.

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


