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:
Café Rouge has a restaurant nearby with an average customer rating called Wildwood.

Ex Output:
name[Wildwood], eatType[restaurant], customer rating[average], near[Café Rouge]


Ex Input:
Wildwood restaurant is kid-friendly.

Ex Output:
name[Wildwood], eatType[restaurant], familyFriendly[yes]


Ex Input:
Browns Cambridge is an Indian food restaurant that is cheap and affordable, though customers are not generally pleased and have given the restaurant a low rating.

Ex Output:

name[Browns Cambridge], food[Indian], priceRange[less than £20], customer rating[low]