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 a high priced, highly rated, kid friendly coffee shop called Blue Spice. It is in riverside near Avalon.

Ex Output:
name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[high], area[riverside], familyFriendly[yes], near[Avalon]


Ex Input:
Bibimbap House is a moderately priced restaurant who's main cuisine is English food. You will find this local gem near Clare Hall in the Riverside area.

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


Ex Input:
Fitzbillies is an Italian style restaurant, which is kid friendly, but has a low customer rating of 1 out of 5.  The price range is high and located in city centre.

Ex Output:

name[Fitzbillies], eatType[coffee shop], food[Italian], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[yes]