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 Aromi is an Indian coffee shop in a riverside location. It has a high customer rating and is child friendly.

SOLUTION: name[Aromi], eatType[coffee shop], food[Indian], customer rating[high], area[riverside], familyFriendly[yes]

PROBLEM: Browns Cambridge provides Chinese food in the high price range. Its customer rating is 1 out of 5.

SOLUTION: name[Browns Cambridge], food[Chinese], priceRange[high], customer rating[1 out of 5]

PROBLEM: The Cricketers is a child-friendly coffee shop located near The Portland Arms. As well as being a coffee shop, The Cricketers also sells Indian food. It has an average customer rating and is suitable for children.

SOLUTION:
name[The Cricketers], eatType[coffee shop], food[Indian], customer rating[average], familyFriendly[yes], near[The Portland Arms]