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: Blue Spice is an averagely rated and priced restaurant located in the city centre. It is kids friendly.

Output: name[Blue Spice], priceRange[£20-25], customer rating[3 out of 5], area[city centre], familyFriendly[yes]


Input: Consider Input: The Olive Grove is a family-friendly fast food pub which is located at the riverside, price range is less than  £20.

Output: name[The Olive Grove], eatType[pub], food[Fast food], priceRange[less than £20], area[riverside], familyFriendly[yes]


Input: Consider Input: Aromi is an Indian coffee shop that is kids friendly and rated 3 out of 5 on the riverside.


Output: name[Aromi], eatType[coffee shop], food[Indian], customer rating[3 out of 5], area[riverside], familyFriendly[yes]