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.

Input: Consider Input: The Aromi is an Indian coffee shop in a riverside location. It has a high customer rating and is child friendly.

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


Input: Consider Input: The Twenty Two is in the riverside area. It is located near The Rice Boat. It provides children friendly activities.

Output: name[The Twenty Two], priceRange[more than £30], customer rating[low], area[riverside], familyFriendly[yes], near[The Rice Boat]


Input: Consider Input: There is a high priced, highly rated, kid friendly coffee shop called Blue Spice. It is in riverside near Avalon.


Output: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[high], area[riverside], familyFriendly[yes], near[Avalon]