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: Alimentum features Chinese food with average customer ratings at a high price.  It is located in riverside near Yippee Noodle Bar.

Answer: name[Alimentum], food[Chinese], priceRange[high], customer rating[average], area[riverside], near[Yippee Noodle Bar]


Question: The Vaults, is a high priced pub with a 3 out of 5 rating near Café Adriatic.

Answer: name[The Vaults], eatType[pub], priceRange[high], customer rating[3 out of 5], near[Café Adriatic]


Question: For a high priced coffee shop serving Italian food with a children friendly environment, try The Wrestlers near Raja Indian Cuisine in the Riverside area.

Answer:
name[The Wrestlers], eatType[coffee shop], food[Italian], priceRange[high], area[riverside], familyFriendly[yes], near[Raja Indian Cuisine]