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]: A restaurant called Browns Cambridge sells average Chinese food at an moderate price.
[EX A]: name[Browns Cambridge], food[Chinese], priceRange[moderate], customer rating[3 out of 5]

[EX Q]: The Plough is a mid-priced pub located near Café Rouge.  It is not family friendly.
[EX A]: name[The Plough], eatType[pub], food[Japanese], priceRange[moderate], familyFriendly[no], near[Café Rouge]

[EX Q]: The Golden Curry serves English food and is family-friendly, and conveniently located in the center of town near the Café Rouge, but it has a low customer rating.
[EX A]:
name[The Golden Curry], food[English], customer rating[low], area[city centre], familyFriendly[yes], near[Café Rouge]