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 along side the river is a sushi place called 'Bibimbap House', it is very expensive.

Ex Output:
name[Bibimbap House], food[Japanese], priceRange[more than £30], area[riverside], near[Clare Hall]


Ex Input:
The Bibimbap House, near Clare Hall in the city centre, is a moderately priced English food establishment.

Ex Output:
name[Bibimbap House], food[English], priceRange[moderate], area[city centre], near[Clare Hall]


Ex Input:
Wildwood is an expensive coffee shop located near Ranch, it is rated 5 stars

Ex Output:

name[Wildwood], eatType[coffee shop], food[Fast food], priceRange[£20-25], customer rating[high], near[Ranch]