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 Olive Grove is in the centre of the city.  It's a pub that serves English food. It has a price range of less than £20 and is family-friendly.

SOLUTION: name[The Olive Grove], eatType[pub], food[English], priceRange[less than £20], area[city centre], familyFriendly[yes]

PROBLEM: The Golden Palace is a French coffee shop in the city centre with average prices, and a high customer rating.

SOLUTION: name[The Golden Palace], eatType[coffee shop], food[French], priceRange[£20-25], customer rating[high], area[city centre]

PROBLEM: In the riverside area, The Waterman serves highly rated Indian food.

SOLUTION:
name[The Waterman], eatType[pub], food[Indian], customer rating[high], area[riverside]

