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 Waterman is a high priced, child friendly place located in riverside.  It serves French food and has a rating of 3 out of 5.

SOLUTION: name[The Waterman], food[French], priceRange[high], customer rating[3 out of 5], area[riverside], familyFriendly[yes]

PROBLEM: Blue Spice in Riverside has options priced less than £20. It's family-friendly and has an average customer rating.

SOLUTION: name[Blue Spice], priceRange[less than £20], customer rating[average], area[riverside], familyFriendly[yes]

PROBLEM: The Eagle is near Burger King and is a Japanese  coffee shop in riverside. It has a low rating and is more than £30. It is not child friendly.

SOLUTION:
name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], area[riverside], familyFriendly[no], near[Burger King]