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: In the city centre you will find a moderately priced Fast food coffee shop called The Eagle. It is located near Burger King, is not kid friendly and has a customer rating of 1 out of 5.

Output: name[The Eagle], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[no], near[Burger King]


Input: Consider Input: There is a family friendly English restaurant within the  £20 price range in riverside near All Bar One by the name of Green Man.

Output: name[Green Man], food[English], priceRange[less than £20], area[riverside], familyFriendly[yes], near[All Bar One]


Input: Consider Input: Taste of Cambridge, a family-friendly coffee shop in the city centre serving French food is located near Crowne Plaza Hotel.


Output: name[Taste of Cambridge], eatType[coffee shop], food[French], area[city centre], familyFriendly[yes], near[Crowne Plaza Hotel]