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 Golden Curry is a £10 family friendly French food near The Bakers
[EX A]: name[The Golden Curry], food[French], priceRange[less than £20], familyFriendly[yes], near[The Bakers]

[EX Q]: There is a non children-friendly coffee shop with a low rating and a price range with more than £30 called Blue Spice and is located in the city centre near Avalon.
[EX A]: name[Blue Spice], eatType[coffee shop], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no], near[Avalon]

[EX Q]: The Vaults is a coffee shop with a customer rating of 3 out of 5, which I situated within the city centre near Café Brazil and has a price range of £20-25.
[EX A]:
name[The Vaults], eatType[coffee shop], priceRange[£20-25], customer rating[3 out of 5], area[city centre], near[Café Brazil]