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 is a high priced, fast-food restaurant in the riverside area.  Customer reviews of the restaurant give it a 1 out of 5.  This is not a  children friendly location.

A: name[The Waterman], food[Fast food], priceRange[high], customer rating[1 out of 5], area[riverside], familyFriendly[no]
****
Q: There is a pub near Café Brazil named The Cambridge Blue that serves reasonably priced Japanese food.

A: name[The Cambridge Blue], eatType[pub], food[Japanese], priceRange[less than £20], near[Café Brazil]
****
Q: A high priced restaurant near the river is Alimentum.  This is a five star restaurant located next to Yippee Noodle Bar.

A:
name[Alimentum], food[Fast food], priceRange[more than £30], customer rating[high], area[riverside], near[Yippee Noodle Bar]
****