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: There is a cheap family restaurant located near The Bakers, called The Golden Curry. It provides English food.

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

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 serves English food costing more that £30 and has a high customer rating. It is located in the city centre and has a children friendly atmosphere.

SOLUTION:
name[The Waterman], food[English], priceRange[more than £30], customer rating[high], area[city centre], familyFriendly[yes]