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]: There is a coffee shop named Fitzbillies that serves Indian food in the city centre. It is in the high price range, has a 1 out of 5 customer rating, and is not child friendly.
[EX A]: name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[high], customer rating[1 out of 5], area[city centre], familyFriendly[no]

[EX Q]: Near All Bar One is a moderately priced Italian place, with a customer rating of 3 out of 5, it's called Midsummer House.
[EX A]: name[Midsummer House], food[Italian], priceRange[moderate], customer rating[3 out of 5], near[All Bar One]

[EX Q]: For a family friendly restaurant a stone's throw away from The Sorrento, you will want to try the Chinese cuisine at Browns Cambridge in the riverside area.
[EX A]:
name[Browns Cambridge], food[Chinese], area[riverside], familyFriendly[yes], near[The Sorrento]