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]: Fitzbillies is a coffee shop. It offers Indian food. It is in the high price range. It has a average customer rating. It is in the riverside area. It is not a children friendly restaurant.
[EX A]: name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[high], customer rating[average], area[riverside], familyFriendly[no]

[EX Q]: A high priced restaurant near the river is Alimentum.  This is a five star restaurant located next to Yippee Noodle Bar.
[EX A]: name[Alimentum], food[Fast food], priceRange[more than £30], customer rating[high], area[riverside], near[Yippee Noodle Bar]

[EX Q]: The Waterman is a moderately priced fast food restaurant in the City Centre area. This child friendly restaurant has a customer rating of 3 out of 5.
[EX A]:
name[The Waterman], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[city centre], familyFriendly[no]