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]: Alimentum serves Indian food in the less than £20 price range in the City Centre and is family friendly
[EX A]: name[Alimentum], food[Indian], priceRange[less than £20], area[city centre], familyFriendly[yes]

[EX Q]: The Japanese restaurant The Rice Boat is not kid friendly, but it is highly rated.  It is near the Express by Holiday Inn in the riverside area.  It  has average prices between £20-25.
[EX A]: name[The Rice Boat], food[Japanese], priceRange[£20-25], customer rating[high], area[riverside], familyFriendly[no], near[Express by Holiday Inn]

[EX Q]: The Waterman is a French restaurant located in Riverside with  low customer rating. This establishment is not child friendly and requires a price range of 30 euros.
[EX A]:
name[The Waterman], food[French], priceRange[more than £30], customer rating[low], area[riverside], familyFriendly[no]