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: Next to the Yippee Noodle Bar, the Strada pub is rated three out of five stars.

SOLUTION: name[Strada], eatType[pub], food[Japanese], customer rating[average], near[Yippee Noodle Bar]

PROBLEM: The Waterman cooks up moderate priced English cuisine on the riverside. Its kids friendly but has a 1 out of 5 average customer rating.

SOLUTION: name[The Waterman], food[English], priceRange[moderate], customer rating[1 out of 5], area[riverside], familyFriendly[yes]

PROBLEM: Near Avalon in the city centre, Blue Spice is a highly rated, averagely priced coffee  shop and is not kid-friendly.

SOLUTION:
name[Blue Spice], eatType[coffee shop], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[no], near[Avalon]