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.

The Olive Grove is a restaurant that is low-priced and family-oriented.
name[The Olive Grove], eatType[pub], food[Italian], priceRange[less than £20], area[riverside], familyFriendly[yes]

The Chinese restaurant The Vaults is cheap, but not family friendly.
name[The Vaults], food[Chinese], priceRange[less than £20], familyFriendly[no]

Indian food serving The Punter, a coffee shop near Café Sicilia, is cheap, family friendly and has a 5 out of 5 customer rating.

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