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 adult coffee shop serves fast food for £20-25. It has a high rating and is called Cocum.

Output: name[Cocum], eatType[coffee shop], food[Fast food], priceRange[£20-25], customer rating[high], familyFriendly[no]


Input: Consider Input: Wildwood is a pub that serves sushi at a mid-range price level. It is not highly rated.

Output: name[Wildwood], eatType[pub], food[Japanese], priceRange[moderate], customer rating[1 out of 5]


Input: Consider Input: Kid Friendly Zizzi is a pub with Indian food and a high customer Rating.


Output: name[Zizzi], eatType[pub], food[Indian], customer rating[high], familyFriendly[yes]