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.

[EX Q]: The coffee shop The Golden Palace is north of the city centre. It serves expensive food and has a 5 star rating.
[EX A]: name[The Golden Palace], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[5 out of 5], area[riverside]

[EX Q]: Near The Bakers is a Japanese restaurant called The Golden Curry that is kids friendly and has food for 20-25 dollars.
[EX A]: name[The Golden Curry], food[Japanese], priceRange[£20-25], familyFriendly[yes], near[The Bakers]

[EX Q]: If you're looking for Indian food at decent prices, there's a pub called Wildwood, but it has a poor customer rating.
[EX A]:
name[Wildwood], eatType[pub], food[Indian], priceRange[moderate], customer rating[1 out of 5]