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: Wildwood is a highly rated Japanese coffee shop near Ranch.  Prices are average.

Answer: name[Wildwood], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[high], near[Ranch]


Question: Browns Cambridge is a fast food family-friendly restaurant in the city centre near The Sorrento.

Answer: name[Browns Cambridge], food[Fast food], area[city centre], familyFriendly[yes], near[The Sorrento]


Question: Cotto is located near All Bar One in the city centre. It is in the low price range of less than £20.

Answer:
name[Cotto], priceRange[less than £20], area[city centre], near[All Bar One]