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 pub near Café Brazil named The Cambridge Blue that serves reasonably priced Japanese food.

Output: name[The Cambridge Blue], eatType[pub], food[Japanese], priceRange[less than £20], near[Café Brazil]


Input: Consider Input: The Chinese restaurant The Vaults is cheap, but not family friendly.

Output: name[The Vaults], food[Chinese], priceRange[less than £20], familyFriendly[no]


Input: Consider Input: There is a pub located by the riverside that has a 5 out of 5 customer rating and provides Japanese called The Waterman.


Output: name[The Waterman], eatType[pub], food[Japanese], customer rating[5 out of 5], area[riverside]