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]: The Waterman serves Chinese in the high price range, with an average customer rating. It is located in the city center and is children friendly.
[EX A]: name[The Waterman], food[Chinese], priceRange[high], customer rating[average], area[city centre], familyFriendly[yes]

[EX Q]: In riverside is a coffee shop with high price range and a rating of 3 out of 5, it is near Avalon and yes is also child friendly. It is called Blue Spice.
[EX A]: name[Blue Spice], eatType[coffee shop], priceRange[high], customer rating[3 out of 5], area[riverside], familyFriendly[yes], near[Avalon]

[EX Q]: The Mill is located nearby The Sorrento, in the riverside area. A cheap coffee shop that also serves Italian food.
[EX A]:
name[The Mill], eatType[coffee shop], food[Italian], priceRange[cheap], area[riverside], near[The Sorrento]