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: For Italian food in the riverside area, try the Aromi coffee shop, but keep in mind that it is not family-friendly and has a low customer rating.

A: name[Aromi], eatType[coffee shop], food[Italian], customer rating[low], area[riverside], familyFriendly[no]
****
Q: Bibimbap House is a moderately priced restaurant who's main cuisine is English food. You will find this local gem near Clare Hall in the Riverside area.

A: name[Bibimbap House], food[English], priceRange[moderate], area[riverside], near[Clare Hall]
****
Q: The Punter is a expensive coffee shop that providing average range food and family services. It is located in city center after Café Sicilia

A:
name[The Punter], eatType[coffee shop], food[Japanese], priceRange[high], customer rating[3 out of 5], familyFriendly[yes], near[Café Sicilia]
****