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.

Aromi is coffee shop that has Italian food and high customer rating. It is riverside and children friendly.
name[Aromi], eatType[coffee shop], food[Italian], customer rating[high], area[riverside], familyFriendly[yes]

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.
name[The Golden Palace], eatType[coffee shop], food[Fast food], priceRange[high], customer rating[average], area[riverside]

Strada, rated 5 out of 5 by customers, serves cheap Japanese food. Its not family-friendly, and is located near Rainbow Vegetarian Café.

name[Strada], food[Japanese], priceRange[cheap], customer rating[5 out of 5], familyFriendly[no], near[Rainbow Vegetarian Café]