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:
In the city centre, near Burger King, you will find The Eagle. It is a non children-friendly coffee shop that serves Indian food. While its price range is quite high, more than £30, it has a high customer ratings.

Ex Output:
name[The Eagle], eatType[coffee shop], food[Indian], priceRange[more than £30], customer rating[high], area[city centre], familyFriendly[no], near[Burger King]


Ex Input:
it is a Fast food and family yes with The Waterman and cheap food riverside has 5 out of 5

Ex Output:
name[The Waterman], food[Fast food], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[yes]


Ex Input:
Bibimbap House near The Rice Boat in riverside does Italian food.

Ex Output:

name[Bibimbap House], food[Italian], area[riverside], near[The Rice Boat]