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: Cocum is a child friendly, pub styled restaurant, that is pretty expensive but rated average.

SOLUTION: name[Cocum], eatType[pub], priceRange[high], customer rating[average], familyFriendly[yes]

PROBLEM: The Golden Curry is an English children friendly restaurant , located near The Bakers. Prices range to more than £30.

SOLUTION: name[The Golden Curry], food[English], priceRange[more than £30], familyFriendly[yes], near[The Bakers]

PROBLEM: The Vaults is near Café Brazil in the riverside area. It is an expensive coffee shop with an average price range of more than  £30. It has a high customer rating.

SOLUTION:
name[The Vaults], eatType[coffee shop], priceRange[more than £30], customer rating[high], area[riverside], near[Café Brazil]