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 Twenty Two is an expensive establishment in the city centre near The Rice Boat.  It has an average rating and is not child friendly.

Output: name[The Twenty Two], priceRange[high], customer rating[3 out of 5], area[city centre], familyFriendly[yes], near[The Rice Boat]


Input: Consider Input: Browns Cambridge serves Chinese at a moderate price, but has an average customer rating of 1 out of 5.

Output: name[Browns Cambridge], food[Chinese], priceRange[moderate], customer rating[1 out of 5]


Input: Consider Input: The cheap highly rated family-friendly coffee shop called The Eagle is located in the city centre, near Burger King. It serves French food.


Output: name[The Eagle], eatType[coffee shop], food[French], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes], near[Burger King]