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.

Café Rouge has a restaurant nearby with an average customer rating called Wildwood.
name[Wildwood], eatType[restaurant], customer rating[average], near[Café Rouge]

Zizzi is an English food pub with a 5 out of 5 customer rating and is family friendly
name[Zizzi], eatType[pub], food[English], customer rating[5 out of 5], familyFriendly[yes]

High rated English food served at the Alimentum located in the city centre near Yippee Noodle Bar.

name[Alimentum], food[English], priceRange[£20-25], customer rating[high], area[city centre], near[Yippee Noodle Bar]