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: The Punter is a child friendly coffee shop located near Café Sicilia. It has a high customer rating, and serves English food costing over 30 euro.

SOLUTION: name[The Punter], eatType[coffee shop], food[English], priceRange[more than £30], customer rating[high], familyFriendly[yes], near[Café Sicilia]

PROBLEM: The kid friendly restaurant called The Cricketers has a 3 out of 5 rating and serves Italian food. They are close to the coffee shop called The Portland Arms

SOLUTION: name[The Cricketers], eatType[coffee shop], food[Italian], customer rating[3 out of 5], familyFriendly[yes], near[The Portland Arms]

PROBLEM: There is Fast food pub with low customer rating, located in the city centre, named The Waterman.

SOLUTION:
name[The Waterman], eatType[pub], food[Fast food], customer rating[low], area[city centre]