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: The Eagle is a French coffee shop located near Burger King in riverside. At a customer rating of 5 out of 5 and its cheap this makes a great family friendly place.

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

PROBLEM: In the riverside area, Blue Spice is family friendly, cheap and has an average customer rating.

SOLUTION: name[Blue Spice], priceRange[cheap], customer rating[average], area[riverside], familyFriendly[yes]

PROBLEM: The Waterman is a family friendly French restaurant, located in the riverside area. It has an average customer service rating and prices less than £20.

SOLUTION:
name[The Waterman], food[French], priceRange[less than £20], customer rating[average], area[riverside], familyFriendly[yes]