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: Fitzbillies has a high price range and is located near Rainbow Vegetarian Café.

SOLUTION: name[Fitzbillies], priceRange[high], near[Rainbow Vegetarian Café]

PROBLEM: Alimentum is a kid friendly French eatery in the city centre. It is in the moderate price range

SOLUTION: name[Alimentum], food[French], priceRange[moderate], area[city centre], familyFriendly[yes]

PROBLEM: Midsummer House is near Café Rouge and provides Indian food with a customer rating of 3 out of 5.

SOLUTION:
name[Midsummer House], food[Indian], customer rating[3 out of 5], near[Café Rouge]