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: A restaurant in the riverside area, The Phoenix, offers English food in the lower price range but has a low customer rating.

SOLUTION: name[The Phoenix], food[English], priceRange[less than £20], customer rating[low], area[riverside]

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: There is a restaurant near All Bar One called Midsummer House that is expensive.

SOLUTION:
name[Midsummer House], food[Italian], priceRange[high], customer rating[1 out of 5], near[All Bar One]

