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: Green Man is a medium priced take away delivery service, located by the All Bar One.

SOLUTION: name[Green Man], food[Japanese], priceRange[moderate], area[riverside], familyFriendly[no], near[All Bar One]

PROBLEM: The Browns Cambridge serves Italian food and has excellent service.

SOLUTION: name[Browns Cambridge], food[Italian], priceRange[cheap], customer rating[5 out of 5]

PROBLEM: There is a French coffee shop called Cocum. It serves cheap food.

SOLUTION:
name[Cocum], eatType[coffee shop], food[French], priceRange[less than £20], customer rating[average], familyFriendly[yes]