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: Highly priced and adult oriented, The Vaults serves Japanese food.

A: name[The Vaults], food[Japanese], priceRange[more than £30], familyFriendly[no]
****
Q: The Golden Palace is a coffee Shop. It is located in riverside area. High price range and have 3 out of 5 costumer rating.

A: name[The Golden Palace], eatType[coffee shop], food[French], priceRange[high], customer rating[3 out of 5], area[riverside]
****
Q: The Golden Curry is an Italian restaurant.  It is near Café Rouge, riverside.  It is kid friendly.  The customer rating is high.

A:
name[The Golden Curry], food[Italian], customer rating[high], area[riverside], familyFriendly[yes], near[Café Rouge]
****