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:
A low priced Italian restaurant located in the centre of the city near All Bar One, Green Man is not family-friendly.

Ex Output:
name[Green Man], food[Italian], priceRange[less than £20], area[city centre], familyFriendly[no], near[All Bar One]


Ex Input:
The Rice Boat is a place that sells Indian food for under £20 that has a low customer rating and is located on the riverside near Express by Holiday Inn.

Ex Output:
name[The Rice Boat], food[Indian], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[no], near[Express by Holiday Inn]


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]