TASK DEFINITION: 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.
PROBLEM: Located near The Bakers is a kid friendly restaurant called The Plough. It has a price range of £20-25.

SOLUTION: name[The Plough], eatType[restaurant], priceRange[£20-25], familyFriendly[yes], near[The Bakers]

PROBLEM: Fitzbillies, located in Express by Holiday Inn, isn't recommended due to the food being priced over £30, and the atmosphere not being child-friendly.

SOLUTION: name[Fitzbillies], priceRange[more than £30], customer rating[low], familyFriendly[no], near[Express by Holiday Inn]

PROBLEM: The Eagle is a highly priced French coffee Shop near Burger King by riverside.  The Eagle is not child friendly and has a customer rating of 3 out of 5.

SOLUTION:
name[The Eagle], eatType[coffee shop], food[French], priceRange[high], customer rating[3 out of 5], area[riverside], familyFriendly[no], near[Burger King]