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]: Browns Cambridge is a fast food family-friendly restaurant in the city centre near The Sorrento.
[EX A]: name[Browns Cambridge], food[Fast food], area[city centre], familyFriendly[yes], near[The Sorrento]

[EX Q]: The Mill pub on the riverside, with a price range less than £20, serves Japanese food
[EX A]: name[The Mill], eatType[pub], food[Japanese], priceRange[less than £20], area[riverside]

[EX Q]: Zizzi gave average ratings to a local coffee shop and a Chinese takeout, but made honorable mention for their children friendly services.
[EX A]:
name[Zizzi], eatType[pub], food[Chinese], customer rating[average], familyFriendly[yes]