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 Waterman provides Chinese food. Its price range is moderate and it has a customer rating of 1 out of 5. It is in the city centre and it is not kids friendly.
[A]: name[The Waterman], food[Chinese], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[no]


[Q]: The customer rating is high but it is children-friendly but the name is Strada
[A]: name[Strada], priceRange[more than £30], customer rating[high], familyFriendly[yes]


[Q]: Aromi, a coffee shop located in the Riverside area, serves fast food, and is oriented toward an adult clientele.  Customers do not give it a high rating.
[A]:
name[Aromi], eatType[coffee shop], food[Fast food], customer rating[low], area[riverside], familyFriendly[no]