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.

Q: In the city centre lies Aromi, a French coffee shop for adults with a low customer rating.

A: name[Aromi], eatType[coffee shop], food[French], customer rating[low], area[city centre], familyFriendly[no]
****
Q: Alimentum is a cheap, 5 star noodle restaurant that is near Yippee Noodle Bar.

A: name[Alimentum], food[Italian], priceRange[cheap], customer rating[5 out of 5], area[riverside], near[Yippee Noodle Bar]
****
Q: The Twenty Two is a fast food restaurant that is children friendly.

A:
name[The Twenty Two], food[Fast food], familyFriendly[yes]
****