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: For a child friendly coffee shop, check out Cocum, a moderately priced fast food joint with a customer rating of 3 out of 5.

Output: name[Cocum], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[3 out of 5], familyFriendly[yes]


Input: Consider Input: Fitzbillies is a moderately priced restaurant near to Rainbow Vegetarian Café.

Output: name[Fitzbillies], priceRange[moderate], near[Rainbow Vegetarian Café]


Input: Consider Input: Located near Café Rouge is the Midsummer House, providing 3 star meals.


Output: name[Midsummer House], food[Italian], customer rating[average], near[Café Rouge]