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: Want to pay less than £20, go to Blue Spice, English food  in the city center.

SOLUTION: name[Blue Spice], food[English], priceRange[less than £20], area[city centre]

PROBLEM: The Wrestlers provides Indian food in the less than £20 price range. Its customer rating is low.

SOLUTION: name[The Wrestlers], food[Indian], priceRange[less than £20], customer rating[low], familyFriendly[no]

PROBLEM: Browns Cambridge offers moderately priced English food and is highly rated by customers.

SOLUTION:
name[Browns Cambridge], food[English], priceRange[£20-25], customer rating[high]