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]: French coffee shop The Mill,  offers a cheap menu and is located in riverside near The Sorrento
[A]: name[The Mill], eatType[coffee shop], food[French], priceRange[cheap], area[riverside], near[The Sorrento]


[Q]: There is an expensive coffee shop which serves fast food called The Golden Palace. It is on the riverside. The customers rate it as average.
[A]: name[The Golden Palace], eatType[coffee shop], food[Fast food], priceRange[high], customer rating[average], area[riverside]


[Q]: Aromi is a Japanese coffee shop by the river. It is family friendly and tasty.
[A]:
name[Aromi], eatType[coffee shop], food[Japanese], customer rating[5 out of 5], area[riverside], familyFriendly[yes]