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: For a pricey pub serving Indian, look for The Olive Grove in the city centre. please note, this venue is not child friendly.

Answer: name[The Olive Grove], eatType[pub], food[Indian], priceRange[high], area[city centre], familyFriendly[no]


Question: There is a cheap coffee shop named Zizzi in Riverside that is family friendly and has a rating of 5 out of 5

Answer: name[Zizzi], eatType[coffee shop], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[yes]


Question: A coffee shop called Wildwood with a price range below L20 serves French cuisine and is located near Ranch. Customers give this establishment a low rating.

Answer:
name[Wildwood], eatType[coffee shop], food[French], priceRange[less than £20], customer rating[low], near[Ranch]