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: Alimentum features Chinese food with average customer ratings at a high price.  It is located in riverside near Yippee Noodle Bar.

SOLUTION: name[Alimentum], food[Chinese], priceRange[high], customer rating[average], area[riverside], near[Yippee Noodle Bar]

PROBLEM: There is a coffee shop in the riverside area named Zizzi.  It is not child-friendly, has a low customer rating, and possesses a price range of around £30.

SOLUTION: name[Zizzi], eatType[coffee shop], priceRange[more than £30], customer rating[low], area[riverside], familyFriendly[no]

PROBLEM: The Cambridge Blue is a moderately priced Indian pub located next to Café Brazil.

SOLUTION:
name[The Cambridge Blue], eatType[pub], food[Indian], priceRange[moderate], near[Café Brazil]