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]: If you want Japanese food, The Cambridge Blue  is fair but has a low customer rating.
[EX A]: name[The Cambridge Blue], eatType[restaurant], food[Japanese], customer rating[low]

[EX Q]: There is a family-friendly  coffee shop Aromi in the city centre that provides Italian food but has low customer rating.
[EX A]: name[Aromi], eatType[coffee shop], food[Italian], customer rating[low], area[city centre], familyFriendly[yes]

[EX Q]: The Punter is an exclusive bakery shop serving coffee as well and it is located in Café Sicilia
[EX A]:
name[The Punter], eatType[coffee shop], food[French], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes], near[Café Sicilia]