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 Waterman is low price  family restaurant with average customer rating.

Output: name[The Waterman], food[Japanese], priceRange[less than £20], customer rating[average], area[riverside], familyFriendly[yes]


Input: Consider Input: The Waterman is a high priced, fast-food restaurant in the riverside area.  Customer reviews of the restaurant give it a 1 out of 5.  This is not a  children friendly location.

Output: name[The Waterman], food[Fast food], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[no]


Input: Consider Input: Fitzbillies is a high priced family friendly restaurant located near Express by Holiday Inn.  It has a one star rating.


Output: name[Fitzbillies], priceRange[more than £30], customer rating[low], familyFriendly[yes], near[Express by Holiday Inn]