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: Midsummer House is a low cost restaurant serving pastas and wines located a short distance from All Bar One.

Output: name[Midsummer House], food[Italian], priceRange[less than £20], customer rating[low], near[All Bar One]


Input: Consider Input: Browns Cambridge is a coffee shop that also serves Italian food.  This is not a family-friendly establishment.  Browns Cambridge is located north of City centre, on the river near Crowne Plaza Hotel.

Output: name[Browns Cambridge], eatType[coffee shop], food[Italian], customer rating[low], area[riverside], familyFriendly[no], near[Crowne Plaza Hotel]


Input: Consider Input: A restaurant called Browns Cambridge sells average Chinese food at an moderate price.


Output: name[Browns Cambridge], food[Chinese], priceRange[moderate], customer rating[3 out of 5]