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:
Near Clare Hall area, price range 23, Bibimbap House, McDonalds.

Ex Output:
name[Bibimbap House], food[Fast food], priceRange[£20-25], area[riverside], near[Clare Hall]


Ex Input:
The Golden Palace is a Japanese coffee shop in the riverside area with a low customer rating. it costs more than £30.

Ex Output:
name[The Golden Palace], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], area[riverside]


Ex Input:
Zizzi is a kids-friendly, Japanese pub, rated 1 out of 5.

Ex Output:

name[Zizzi], eatType[pub], food[Japanese], customer rating[1 out of 5], familyFriendly[yes]