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.

Ex Input:
The Cricketers, located near The Portland Arms, is  a coffee shop that serves Italian food.  This adults only coffee shop has an average customer rating that is low.

Ex Output:
name[The Cricketers], eatType[coffee shop], food[Italian], customer rating[low], familyFriendly[no], near[The Portland Arms]


Ex Input:
The Cricketers is a children friendly coffee shop which serves Italian food, and has a high customer rating, located near The Portland Arms.

Ex Output:
name[The Cricketers], eatType[coffee shop], food[Italian], customer rating[high], familyFriendly[yes], near[The Portland Arms]


Ex Input:
The Golden Curry is located near The Bakers serves Chinese food with a high price range, and is considered children friendly.

Ex Output:

name[The Golden Curry], food[Chinese], priceRange[high], familyFriendly[yes], near[The Bakers]