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 Cambridge Blue is a pub near Café Brazil that provides English food with a price range of more than £30.
[EX A]: name[The Cambridge Blue], eatType[pub], food[English], priceRange[more than £30], near[Café Brazil]

[EX Q]: Wildwood is an inexpensive Japanese pub. Rated 3 out of 5.
[EX A]: name[Wildwood], eatType[pub], food[Japanese], priceRange[less than £20], customer rating[average]

[EX Q]: There is a coffee shop near the city centre and Burger King called The Eagle.  It is both rated low and in the low price range, serves Indian food, and is not family friendly.
[EX A]:
name[The Eagle], eatType[coffee shop], food[Indian], priceRange[less than £20], customer rating[low], area[city centre], familyFriendly[no], near[Burger King]