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:
There is an Italian coffee shop called Cocum.  It is not children friendly.

Ex Output:
name[Cocum], eatType[coffee shop], food[Italian], priceRange[high], customer rating[average], familyFriendly[no]


Ex Input:
The Taste of Cambridge is a family friendly coffee shop near Crowne Plaza Hotel in the riverside area with Japanese food.

Ex Output:
name[Taste of Cambridge], eatType[coffee shop], food[Japanese], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]


Ex Input:
The Waterman offers English food in £20-25. It is located at riverside. Although it is not kids friendly, yet it is rated high, by the customers.

Ex Output:

name[The Waterman], food[English], priceRange[£20-25], customer rating[high], area[riverside], familyFriendly[no]