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 Waterman is an averagely rated,  English pub located in Riverside.

SOLUTION: name[The Waterman], eatType[pub], food[English], customer rating[average], area[riverside]

PROBLEM: Riverside coffee shop near Burger King, The Eagle, offers Japanese food  and has a 3 out of 5 rating. It is not kid-friendly, but average price.

SOLUTION: name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[3 out of 5], area[riverside], familyFriendly[no], near[Burger King]

PROBLEM: The Phoenix has a low rating due to making less than £20 on the Japanese food. They are relocating to city centre.

SOLUTION:
name[The Phoenix], food[Japanese], priceRange[less than £20], customer rating[low], area[city centre]