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.

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

Example Input: The Golden Palace is a Japanese coffee shop in the riverside area with a low customer rating. it costs more than £30.
Example Output: name[The Golden Palace], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], area[riverside]

Example Input: The Golden Curry is a cheap fast food joint located near The Bakers. It is family friendly.
Example Output:
name[The Golden Curry], food[Fast food], priceRange[cheap], familyFriendly[yes], near[The Bakers]