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 Cambridge Blue is a restaurant that provides Chinese food Its customer rating is high.
[A]: name[The Cambridge Blue], eatType[restaurant], food[Chinese], customer rating[high]


[Q]: Bibimbap House provides Chinese food in riverside. It is near The Rice Boat.
[A]: name[Bibimbap House], food[Chinese], area[riverside], near[The Rice Boat]


[Q]: Fitzbillies is a child-friendly Japanese coffee shop in the Riverside area with a low customer rating and prices higher than  £30.
[A]:
name[Fitzbillies], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], area[riverside], familyFriendly[yes]