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:
Near All Bar One in the riverside area is kid friendly Green Man. The price range is between £20-25.

Ex Output:
name[Green Man], food[Japanese], priceRange[£20-25], area[riverside], familyFriendly[yes], near[All Bar One]


Ex Input:
The Golden Palace is a coffee shop for dinner. We make hamburgers. We are near the River at City Centre. Join us.

Ex Output:

name[The Golden Palace], eatType[coffee shop], food[Fast food], priceRange[high], customer rating[1 out of 5], area[riverside]