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:
The Waterman restaurant is not kid friendly, has a customer rating of 1 out of 5 and a moderate price range.  Serves Chinese food in the riverside area.

Ex Output:
name[The Waterman], food[Chinese], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[no]


Ex Input:
The Eagle is a coffee shop that servers Indian food in the modern price range. Yes it is kids friendly. Its customer rating is 1 out of 5. It is located by the riverside near Burger King

Ex Output:
name[The Eagle], eatType[coffee shop], food[Indian], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Burger King]


Ex Input:
Fitzbillies is located near Express by Holiday Inn. It is family friendly and has a price range of less than £20. It has low customer rating.

Ex Output:

name[Fitzbillies], priceRange[less than £20], customer rating[low], familyFriendly[yes], near[Express by Holiday Inn]