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: A restaurant called Browns Cambridge sells average Chinese food at an moderate price.

Output: name[Browns Cambridge], food[Chinese], priceRange[moderate], customer rating[3 out of 5]


Input: Consider Input: The Cambridge Blue is an Italian pub near Café Brazil whose meals are more than 30 pounds.

Output: name[The Cambridge Blue], eatType[pub], food[Italian], priceRange[more than £30], near[Café Brazil]


Input: Consider Input: The Cricketers is a five star coffee shop located near The Portland Arms.


Output: name[The Cricketers], eatType[coffee shop], food[Fast food], customer rating[5 out of 5], familyFriendly[yes], near[The Portland Arms]