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: Browns Cambridge is a hamburger joint that has an average rating of 3 out of 5 stars and is low priced.

SOLUTION: name[Browns Cambridge], food[Fast food], priceRange[less than £20], customer rating[average]

PROBLEM: Alimentum is a cheap, 5 star noodle restaurant that is near Yippee Noodle Bar.

SOLUTION: name[Alimentum], food[Italian], priceRange[cheap], customer rating[5 out of 5], area[riverside], near[Yippee Noodle Bar]

PROBLEM: Near the Clare Hall along the riverside 'Bibimbap House' can be found serving fast foods at low prices.

SOLUTION:
name[Bibimbap House], food[Fast food], priceRange[less than £20], area[riverside], near[Clare Hall]