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 a one star mid priced family friendly coffee shop The Eagle near Burger King in the City centre. It offers Chinese food.

Output: name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Burger King]


Input: Consider Input: The Cambridge Blue is an Italian pub near Café Brazil whose meals are more than 30 pounds.

Output: name[The Cambridge Blue], eatType[pub], food[Italian], priceRange[more than £30], near[Café Brazil]


Input: Consider Input: The Vaults, is a high priced pub with a 3 out of 5 rating near Café Adriatic.


Output: name[The Vaults], eatType[pub], priceRange[high], customer rating[3 out of 5], near[Café Adriatic]