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: A family friendly place located on the Riverside near All Bar One called Green Man has cheap prices.

Answer: name[Green Man], food[Japanese], priceRange[cheap], area[riverside], familyFriendly[yes], near[All Bar One]


Question: A high priced restaurant near the river is Alimentum.  This is a five star restaurant located next to Yippee Noodle Bar.

Answer: name[Alimentum], food[Fast food], priceRange[more than £30], customer rating[high], area[riverside], near[Yippee Noodle Bar]


Question: Browns Cambridge is a coffee shop, by Crowne Plaza Hotel, 3 star rating and is family friendly.

Answer:
name[Browns Cambridge], eatType[coffee shop], food[Japanese], customer rating[average], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]