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: The Cambridge Blue is an Italian pub near Café Brazil whose meals are more than 30 pounds.

SOLUTION: name[The Cambridge Blue], eatType[pub], food[Italian], priceRange[more than £30], near[Café Brazil]

PROBLEM: The Rice Boat is not kids friendly but has Italian food at a moderate price range and a 3 out of 5 rating can be found near the Express by Holiday Inn in the city centre.

SOLUTION: name[The Rice Boat], food[Italian], priceRange[moderate], customer rating[3 out of 5], area[city centre], familyFriendly[no], near[Express by Holiday Inn]

PROBLEM: Zizzi is a coffee shop located on the outskirts of the City Centre

SOLUTION:
name[Zizzi], eatType[coffee shop], priceRange[more than £30], customer rating[low], area[riverside], familyFriendly[yes]