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: Browns Cambridge offers expensive food in a casual, low end atmosphere.

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


Input: Consider Input: The Punter sells French food. its price range is less than £20.

Output: name[The Punter], food[French], priceRange[less than £20]


Input: Consider Input: There is a variety of wines, cheeses, and fondues to enjoy at The Golden Palace coffee shop.


Output: name[The Golden Palace], eatType[coffee shop], food[French], priceRange[cheap], customer rating[5 out of 5], area[riverside]