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 Cambridge Blue is a Japanese restaurant that has a customer rating of 1 out of 5.

SOLUTION: name[The Cambridge Blue], eatType[restaurant], food[Japanese], customer rating[1 out of 5]

PROBLEM: Serving French cuisine, The Waterman is in city centre with a low customer rating. Not children friendly.

SOLUTION: name[The Waterman], food[French], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no]

PROBLEM: The Green Man is a quiet establishment near the city center with dishes less than £20.

SOLUTION:
name[Green Man], priceRange[less than £20], area[city centre], familyFriendly[no]