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 children-friendly English restaurant near Express by Holiday Inn in the city centre with a high customer rating and price range more than L30.

Output: name[The Rice Boat], food[English], priceRange[more than £30], customer rating[high], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]


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: Cocum coffee shop is an inexpensive fast food restaurant. It is not family-friendly and has a 1 of 5 star rating.


Output: name[Cocum], eatType[coffee shop], food[Fast food], priceRange[less than £20], customer rating[low], familyFriendly[no]