instruction:
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.
question:
The Browns Cambridge is a Chinese restaurant in the high price range. The customer rating is average.
answer:
name[Browns Cambridge], food[Chinese], priceRange[high], customer rating[average]


question:
Alimentum is a cheap French restaurant located in the city centre near Yippee Noodle Bar with a customer rating of 5 out of 5.
answer:
name[Alimentum], food[French], priceRange[cheap], customer rating[5 out of 5], area[city centre], near[Yippee Noodle Bar]


question:
Family friendly, averagely rated and cheap Japanese coffee shop called The Punter is located near Café Sicilia.
answer:

name[The Punter], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[average], familyFriendly[yes], near[Café Sicilia]