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: In the city centre lies Aromi, a French coffee shop for adults with a low customer rating.

Output: name[Aromi], eatType[coffee shop], food[French], customer rating[low], area[city centre], familyFriendly[no]


Input: Consider Input: Blue Spice is a cheap coffee shop located  in the riverside, near Avalon.

Output: name[Blue Spice], eatType[coffee shop], priceRange[cheap], customer rating[average], area[riverside], familyFriendly[yes], near[Avalon]


Input: Consider Input: Near Clare Hall area, price range 23, Bibimbap House, McDonalds.


Output: name[Bibimbap House], food[Fast food], priceRange[£20-25], area[riverside], near[Clare Hall]