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 riverside is a coffee shop with high price range and a rating of 3 out of 5, it is near Avalon and yes is also child friendly. It is called Blue Spice.

Output: name[Blue Spice], eatType[coffee shop], priceRange[high], customer rating[3 out of 5], area[riverside], familyFriendly[yes], near[Avalon]


Input: Consider Input: Fitzbillies is a great coffee shop which sells Indian food. Prices ranging from £20-25. They have a high customer rating. Can be found in the city centre. No children allowed

Output: name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[no]


Input: Consider Input: The Waterman is a moderate priced restaurant family restaurant north of the City center.


Output: name[The Waterman], food[French], priceRange[£20-25], customer rating[high], area[riverside], familyFriendly[yes]