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:
Blue Spice is expensive with a low rating but it is by the river and is kid friendly.

Ex Output:
name[Blue Spice], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[yes]


Ex Input:
If you're looking for a cheap, family-friendly Fast food coffee shop, with an excellent customer rating of 5 out of 5, then go to The Eagle located near Burger King in the city centre.

Ex Output:
name[The Eagle], eatType[coffee shop], food[Fast food], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Burger King]


Ex Input:
Bibimbap House offers French food with expensive price near Clare Hall.

Ex Output:

name[Bibimbap House], food[French], priceRange[more than £30], area[city centre], near[Clare Hall]