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: Near All Bar One in the riverside area is kid friendly Green Man. The price range is between £20-25.

SOLUTION: name[Green Man], food[Japanese], priceRange[£20-25], area[riverside], familyFriendly[yes], near[All Bar One]

PROBLEM: There is an Italian restaurant, The Phoenix, located in riverside. It has a 3 out of 5 rating.

SOLUTION: name[The Phoenix], food[Italian], customer rating[3 out of 5], area[riverside]

PROBLEM: In the city centre area is a Japanese restaurant named Aromi. It is a coffee shop with a customer rating of 5 out of 5.

SOLUTION:
name[Aromi], eatType[coffee shop], food[Japanese], customer rating[5 out of 5], area[city centre], familyFriendly[yes]

