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 cheaper Japanese venue however its rating by customers is low.

Ex Output:
name[Browns Cambridge], food[Japanese], priceRange[less than £20], customer rating[low]


Ex Input:
If you are looking for somewhere serving French food there is a children friendly restaurant down by the riverside called The Waterman. I think it is about £30, maybe more and has quite low customer rating.

Ex Output:
name[The Waterman], food[French], priceRange[more than £30], customer rating[low], area[riverside], familyFriendly[yes]


Ex Input:
Loch Fyne is a high priced restaurant that doesn't allow children. It serves Chinese food.

Ex Output:

name[Loch Fyne], eatType[restaurant], food[Chinese], priceRange[high], familyFriendly[no]