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: Bibimbap House provides Chinese food in riverside. It is near The Rice Boat.

SOLUTION: name[Bibimbap House], food[Chinese], area[riverside], near[The Rice Boat]

PROBLEM: The Golden Curry is a cheap, family friendly Italian restaurant that is near The Bakers.

SOLUTION:
name[The Golden Curry], food[Italian], priceRange[cheap], familyFriendly[yes], near[The Bakers]