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: Clowns is a Japanese coffee shop with 5 out of 5 customer ratings located near Clare Hall in the riverside area.

SOLUTION: name[Clowns], eatType[coffee shop], food[Japanese], customer rating[5 out of 5], area[riverside], near[Clare Hall]

PROBLEM: Near The Bakers is The Golden Curry, a family friendly restaurant.

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

PROBLEM: The Eagle is a low rated coffee shop near Burger King and the riverside that is family friendly and is less than £20 for Japanese food.

SOLUTION:
name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[yes], near[Burger King]