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: With a high price range and low customer service rating of 1 out of 5, a family-friendly Italian coffee shop named The Eagle has opened in the city centre near Burger King.

SOLUTION: name[The Eagle], eatType[coffee shop], food[Italian], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[yes], near[Burger King]

PROBLEM: A low priced Italian restaurant located in the centre of the city near All Bar One, Green Man is not family-friendly.

SOLUTION: name[Green Man], food[Italian], priceRange[less than £20], area[city centre], familyFriendly[no], near[All Bar One]

PROBLEM: Blue Spice in riverside was rate 3 out of 5 and has an average price range of £20-25, however it is not kid friendly.

SOLUTION:
name[Blue Spice], priceRange[£20-25], customer rating[3 out of 5], area[riverside], familyFriendly[no]