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: Blue Spice in Riverside has options priced less than £20. It's family-friendly and has an average customer rating.

SOLUTION: name[Blue Spice], priceRange[less than £20], customer rating[average], area[riverside], 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: Cotto is a coffee shop with fast food at a high price near The Portland Arms

SOLUTION:
name[Cotto], eatType[coffee shop], food[Fast food], priceRange[high], customer rating[1 out of 5], area[riverside], near[The Portland Arms]