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: 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]


Input: Consider Input: The Cricketers, located near The Portland Arms, is  a coffee shop that serves Italian food.  This adults only coffee shop has an average customer rating that is low.

Output: name[The Cricketers], eatType[coffee shop], food[Italian], customer rating[low], familyFriendly[no], near[The Portland Arms]


Input: Consider Input: The Waterman, a family friendly place that serves English food, is by the Crowne Plaza Hotel.


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