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.

Q: The Golden Palace is a Japanese coffee shop in the riverside area with a low customer rating. it costs more than £30.

A: name[The Golden Palace], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], area[riverside]
****
Q: it is a Fast food and family yes with The Waterman and cheap food riverside has 5 out of 5

A: name[The Waterman], food[Fast food], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[yes]
****
Q: The Golden Curry is a non children friendly fast food restaurant. It has a high price range, and is near The Bakers.

A:
name[The Golden Curry], food[Fast food], priceRange[high], familyFriendly[no], near[The Bakers]
****