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: There is an Italian coffee shop called Cocum.  It is not children friendly.

Output: name[Cocum], eatType[coffee shop], food[Italian], priceRange[high], customer rating[average], familyFriendly[no]


Input: Consider Input: Aromi is coffee shop that has Italian food and high customer rating. It is riverside and children friendly.

Output: name[Aromi], eatType[coffee shop], food[Italian], customer rating[high], area[riverside], familyFriendly[yes]


Input: Consider Input: Strada is an Italian food venue near Rainbow Vegetarian Café that is children friendly and doesn't cost more than £30.


Output: name[Strada], food[Italian], priceRange[more than £30], customer rating[high], familyFriendly[yes], near[Rainbow Vegetarian Café]