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 a kid friendly pub over by riverside with a 3 out of 5 customer rating.
name[Aromi], eatType[pub], customer rating[3 out of 5], area[riverside], familyFriendly[yes]

A moderate priced restaurant, Giraffe, is near The Six Bells.
name[Giraffe], eatType[restaurant], priceRange[moderate], near[The Six Bells]

Browns Cambridge is located riverside, near Crowne Plaza Hotel. It is a kids friendly coffee shop, serving Indian food with a high customer rating.

name[Browns Cambridge], eatType[coffee shop], food[Indian], customer rating[high], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]