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: In riverside is a coffee shop with high price range and a rating of 3 out of 5, it is near Avalon and yes is also child friendly. It is called Blue Spice.

SOLUTION: name[Blue Spice], eatType[coffee shop], priceRange[high], customer rating[3 out of 5], area[riverside], familyFriendly[yes], near[Avalon]

PROBLEM: The Mill is a  pub in the city centre that serves Japanese Food at a price of lower than 20.

SOLUTION: name[The Mill], eatType[pub], food[Japanese], priceRange[less than £20], area[city centre]

PROBLEM: Cotto is regularly priced coffee shop serving French food.  It is rated 3 out of 5. It is located near The Portland Arms  neat the city centre.

SOLUTION:
name[Cotto], eatType[coffee shop], food[French], priceRange[£20-25], customer rating[3 out of 5], area[city centre], near[The Portland Arms]

