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: Highly priced and adult oriented, The Vaults serves Japanese food.

SOLUTION: name[The Vaults], food[Japanese], priceRange[more than £30], familyFriendly[no]

PROBLEM: Midsummer House is a moderately priced restaurant near All Bar One. It has a customer of one out of five.

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