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:
The Golden Palace is a very cheap restaurant located in the centre of the city and delivers take away.

Ex Output:
name[The Golden Palace], eatType[coffee shop], food[Fast food], priceRange[less than £20], customer rating[low], area[riverside]


Ex Input:
Clowns is located near Café Sicilia. It is moderate priced and kids friendly.

Ex Output:
name[Clowns], priceRange[moderate], familyFriendly[yes], near[Café Sicilia]


Ex Input:
The Golden Curry is near Café Rouge in riverside. It is rated 5 out of 5 but is not family-friendly. They serve Italian.

Ex Output:

name[The Golden Curry], food[Italian], customer rating[5 out of 5], area[riverside], familyFriendly[no], near[Café Rouge]


