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:
Browns Cambridge is a high priced Indian restaurant with an average customer rating.

Ex Output:
name[Browns Cambridge], food[Indian], priceRange[high], customer rating[average]


Ex Input:
Green Man is located in riverside with a moderate price range and is not kids friendly.

Ex Output:
name[Green Man], priceRange[moderate], area[riverside], familyFriendly[no]


Ex Input:
There is restaurant Loch Fyne that offers food and drinks at low prices.

Ex Output:

name[Loch Fyne], eatType[restaurant], food[French], priceRange[less than £20], familyFriendly[yes]