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]: 5 out of 5 people rated The Punter, a French coffee shop as cheap. It is a family friendly coffee shop and located near Café Sicilia.
[EX A]: name[The Punter], eatType[coffee shop], food[French], priceRange[cheap], customer rating[5 out of 5], familyFriendly[yes], near[Café Sicilia]

[EX Q]: The Browns Cambridge is a Chinese restaurant in the high price range. The customer rating is average.
[EX A]: name[Browns Cambridge], food[Chinese], priceRange[high], customer rating[average]

[EX Q]: Green Man is a pub that serves Indian food in the city centre area near Café Rouge.
[EX A]:
name[Green Man], eatType[pub], food[Indian], area[city centre], near[Café Rouge]