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 Punter has Chinese food in the price Range of £20-25.

Output: name[The Punter], food[Chinese], priceRange[£20-25]


Input: Consider Input: For a lovely Café meal in a family friendly setting try The Dumpling Tree. It is reasonably priced and family friendly. Located near Café Sicilia in the riverside area.

Output: name[The Dumpling Tree], eatType[coffee shop], priceRange[£20-25], area[riverside], familyFriendly[yes], near[Café Sicilia]


Input: Consider Input: A pub near Café Brazil with low prices is The Cambridge Blue.


Output: name[The Cambridge Blue], eatType[pub], food[Indian], priceRange[£20-25], near[Café Brazil]