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.

Expect to pay more than £30 at The Vaults, an expensive but kid friendly Chinese restaurant.
name[The Vaults], food[Chinese], priceRange[more than £30], familyFriendly[yes]

The Phoenix is a High priced Sushi restaurant with 3 stars.
name[The Phoenix], food[Japanese], priceRange[high], customer rating[3 out of 5], area[riverside]

The Punter is a moderately priced coffee shop which also serves Indian food.  It has a customer rating of 3 out of 5, located near Café Sicilia and is kids friendly.

name[The Punter], eatType[coffee shop], food[Indian], priceRange[moderate], customer rating[3 out of 5], familyFriendly[yes], near[Café Sicilia]