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: Loch Fyne is a Fast food restaurant that isn't children friendly  with more than £30

SOLUTION: name[Loch Fyne], eatType[restaurant], food[Fast food], priceRange[more than £30], familyFriendly[no]

PROBLEM: The Golden Palace is a very cheap restaurant located in the centre of the city and delivers take away.

SOLUTION: name[The Golden Palace], eatType[coffee shop], food[Fast food], priceRange[less than £20], customer rating[low], area[riverside]

PROBLEM: The Waterman is a restaurant that serves Chinese. Its customer rating is high and it is child friendly. It is in the city centre . Its price range is more than  £30.

SOLUTION:
name[The Waterman], food[Chinese], priceRange[more than £30], customer rating[high], area[city centre], familyFriendly[yes]