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, Not family-friendly.  Price Range: less than £20.  Italian Food.  Near All Bar One.  Area is Riverside.

SOLUTION: name[Green Man], food[Italian], priceRange[less than £20], area[riverside], familyFriendly[no], near[All Bar One]

PROBLEM: Alimentum is an mid-range Italian restaurant north of the City centre near the Yippee Noodle Bar.

SOLUTION: name[Alimentum], food[Italian], priceRange[moderate], customer rating[3 out of 5], area[riverside], near[Yippee Noodle Bar]

PROBLEM: In the high price range, The Olive Grove is a family-friendly pub.

SOLUTION:
name[The Olive Grove], eatType[pub], food[English], priceRange[high], area[riverside], familyFriendly[yes]