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: The Mill is a coffee shop located in City centre, near The Sorrento, that serves average-priced Italian cuisine.

A: name[The Mill], eatType[coffee shop], food[Italian], priceRange[moderate], area[riverside], near[The Sorrento]
****
Q: Riverside coffee shop near Burger King, The Eagle, offers Japanese food  and has a 3 out of 5 rating. It is not kid-friendly, but average price.

A: name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[3 out of 5], area[riverside], familyFriendly[no], near[Burger King]
****
Q: Fitzbillies is a family-friendly coffee shop that is located in the city centre. It serves Japanese food, it has cheap prices, and it has a high customer rating.

A:
name[Fitzbillies], eatType[coffee shop], food[Japanese], priceRange[cheap], customer rating[5 out of 5], area[city centre], familyFriendly[yes]
****