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.

Q: Loch Fyne is a Fast food restaurant that isn't children friendly  with more than £30

A: name[Loch Fyne], eatType[restaurant], food[Fast food], priceRange[more than £30], familyFriendly[no]
****
Q: Browns Cambridge provides cheap Chinese food with an average customer rating.

A: name[Browns Cambridge], food[Chinese], priceRange[cheap], customer rating[average]
****
Q: Located near The Bakers is a kid friendly restaurant called The Plough. It has a price range of £20-25.

A:
name[The Plough], eatType[restaurant], priceRange[£20-25], familyFriendly[yes], near[The Bakers]
****