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]: Cocum is a child friendly, pub styled restaurant, that is pretty expensive but rated average.
[EX A]: name[Cocum], eatType[pub], priceRange[high], customer rating[average], familyFriendly[yes]

[EX Q]: Loch Fyne is riverside serving average Japanese food. It is near The Rice Boat.
[EX A]: name[Loch Fyne], food[Japanese], customer rating[average], area[riverside], near[The Rice Boat]

[EX Q]: The Punter coffee shop serves fast food and is near Café Sicilia. It has a moderate price range and is kid friendly.  It has a customer rating of 1 out of 5.
[EX A]:
name[The Punter], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes], near[Café Sicilia]