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: Bibimbap House is a moderately priced restaurant who's main cuisine is English food. You will find this local gem near Clare Hall in the Riverside area.

SOLUTION: name[Bibimbap House], food[English], priceRange[moderate], area[riverside], near[Clare Hall]

PROBLEM: In the city centre you will find a moderately priced Fast food coffee shop called The Eagle. It is located near Burger King, is not kid friendly and has a customer rating of 1 out of 5.

SOLUTION: name[The Eagle], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[no], near[Burger King]

PROBLEM: The Punter is a kid-friendly Italian coffee shop located near Café Sicilia that was ranked high by customers

SOLUTION:
name[The Punter], eatType[coffee shop], food[Italian], priceRange[£20-25], customer rating[high], familyFriendly[yes], near[Café Sicilia]