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

[EX Q]: Fitzbillies coffee shop in the city centre offers highly rated Italian food in the more than £30 range. It is centrally located and is child friendly.
[EX A]: name[Fitzbillies], eatType[coffee shop], food[Italian], priceRange[more than £30], customer rating[high], area[city centre], familyFriendly[yes]

[EX Q]: A children friendly restaurant named The Wrestlers that serves French food. In the city centre area is a coffee shop with a price range of more than 30. It is near Raja Indian Cuisine.
[EX A]:
name[The Wrestlers], eatType[coffee shop], food[French], priceRange[more than £30], area[city centre], familyFriendly[yes], near[Raja Indian Cuisine]