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: Green Man is located in riverside with a moderate price range and is not kids friendly.

SOLUTION: name[Green Man], priceRange[moderate], area[riverside], familyFriendly[no]

PROBLEM: The Golden Curry where you can eat Chinese. Low customer rating. Riverside area near Café Rouge. Family Friendly.

SOLUTION: name[The Golden Curry], food[Chinese], customer rating[low], area[riverside], familyFriendly[yes], near[Café Rouge]

PROBLEM: coffee shop in Riverside called The Eagle is cheap and near Burger King. It is not family-friendly but is 5 out of 5.

SOLUTION:
name[The Eagle], eatType[coffee shop], food[French], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[no], near[Burger King]