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 Bibimbap House, near Clare Hall in the city centre, is a moderately priced English food establishment.

SOLUTION: name[Bibimbap House], food[English], priceRange[moderate], area[city centre], near[Clare Hall]

PROBLEM: For good Indian eats near Ranch, Wildwood is a nice, affordable coffee shop with prices ranging £20-25.

SOLUTION: name[Wildwood], eatType[coffee shop], food[Indian], priceRange[£20-25], customer rating[high], near[Ranch]

PROBLEM: In the riverside area near the Crown Plaza Hotel is Browns Cambridge. It is a kid friendly coffee shop, that has Japanese food, and it's rated 1-5.

SOLUTION:
name[Browns Cambridge], eatType[coffee shop], food[Japanese], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Crowne Plaza Hotel]