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

[EX Q]: The best coffee shop in the riverside area with a customer rating of 3 out of 5 is the Zizzi and is in the price range of only 20-25.
[EX A]: name[Zizzi], eatType[coffee shop], priceRange[£20-25], customer rating[3 out of 5], area[riverside], familyFriendly[yes]

[EX Q]: There is a 1 star, cheaply priced coffee shop named Fitzbillies. It is located near the river to the North of the city centre. Fitzbillies is not suitable for families.
[EX A]:
name[Fitzbillies], eatType[coffee shop], food[Fast food], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[no]