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: French coffee shop The Mill,  offers a cheap menu and is located in riverside near The Sorrento

Output: name[The Mill], eatType[coffee shop], food[French], priceRange[cheap], area[riverside], near[The Sorrento]


Input: Consider Input: There is a family friendly English restaurant within the  £20 price range in riverside near All Bar One by the name of Green Man.

Output: name[Green Man], food[English], priceRange[less than £20], area[riverside], familyFriendly[yes], near[All Bar One]


Input: Consider Input: A restaurant with a price range greater than  £30 that serves English food is The Dumpling Tree.


Output: name[The Dumpling Tree], eatType[restaurant], food[English], priceRange[more than £30]