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.

Example Input: Green Man is a medium priced take away delivery service, located by the All Bar One.
Example Output: name[Green Man], food[Japanese], priceRange[moderate], area[riverside], familyFriendly[no], near[All Bar One]

Example Input: The Waterman is a high priced, child friendly place located in riverside.  It serves French food and has a rating of 3 out of 5.
Example Output: name[The Waterman], food[French], priceRange[high], customer rating[3 out of 5], area[riverside], familyFriendly[yes]

Example Input: The Eagle is a poorly rated moderate price Italian food coffee shop. It is not child friendly and it is located in riverside by Burger King.
Example Output:
name[The Eagle], eatType[coffee shop], food[Italian], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[no], near[Burger King]