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 Rice Boat has a high customer rating and a cheap price range. it serves Japanese food and is family friendly, it is located in riverside near the Express by Holiday Inn
[A]: name[The Rice Boat], food[Japanese], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[yes], near[Express by Holiday Inn]


[Q]: Cheap English food can be found at the family Friendly restaurant The Wrestlers. Its customer Rating is 5 out of 5.
[A]: name[The Wrestlers], food[English], priceRange[cheap], customer rating[5 out of 5], familyFriendly[yes]


[Q]: Wildwood, a restaurant with a low customer rating, is near Café Rouge.
[A]:
name[Wildwood], eatType[restaurant], customer rating[low], near[Café Rouge]


