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.

Input: Consider Input: Alimentum is a one star restaurant near the Yippee Noodle Bar

Output: name[Alimentum], food[Fast food], priceRange[high], customer rating[1 out of 5], area[riverside], near[Yippee Noodle Bar]


Input: Consider Input: Near The Bakers is a Japanese restaurant called The Golden Curry that is kids friendly and has food for 20-25 dollars.

Output: name[The Golden Curry], food[Japanese], priceRange[£20-25], familyFriendly[yes], near[The Bakers]


Input: Consider Input: The Eagle is a children friendly French coffee shop near Burger King in the city centre. It has a customer rating of 3 out of 5 and a high price range.


Output: name[The Eagle], eatType[coffee shop], food[French], priceRange[high], customer rating[3 out of 5], area[city centre], familyFriendly[yes], near[Burger King]