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]: There is a pub near Café Brazil named The Cambridge Blue that serves reasonably priced Japanese food.
[A]: name[The Cambridge Blue], eatType[pub], food[Japanese], priceRange[less than £20], near[Café Brazil]


[Q]: Cocum is a restaurant with an Average customer rating. It is family friendly.
[A]: name[Cocum], eatType[restaurant], customer rating[average], familyFriendly[yes]


[Q]: The Plough is a cheap Fast food restaurant. It provides a family friendly atmosphere. The food is pub like. It is rear the Café Rouge.
[A]:
name[The Plough], eatType[pub], food[Fast food], priceRange[cheap], familyFriendly[yes], near[Café Rouge]