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 is a family friendly fast food establishment situated close to the Crown Plaza Hotel.

Ex Output:
name[The Waterman], food[Fast food], familyFriendly[yes], near[Crowne Plaza Hotel]


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:
Aromi is coffee shop that has Italian food and high customer rating. It is riverside and children friendly.

Ex Output:

name[Aromi], eatType[coffee shop], food[Italian], customer rating[high], area[riverside], familyFriendly[yes]