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 Rice Boat is a cheap family friendly place serving French Food. It is in the riverside area near the Express by Holiday Inn. It has a low customer rating.

Output: name[The Rice Boat], food[French], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[yes], near[Express by Holiday Inn]


Input: Consider Input: The Japanese restaurant The Rice Boat is not kid friendly, but it is highly rated.  It is near the Express by Holiday Inn in the riverside area.  It  has average prices between £20-25.

Output: name[The Rice Boat], food[Japanese], priceRange[£20-25], customer rating[high], area[riverside], familyFriendly[no], near[Express by Holiday Inn]


Input: Consider Input: The Waterman is  premium priced, non child friendly and has an average customer rating.  It serves English food and is located in the city centre.


Output: name[The Waterman], food[English], priceRange[high], customer rating[average], area[city centre], familyFriendly[no]