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: French coffee shop The Mill,  offers a cheap menu and is located in riverside near The Sorrento

A: name[The Mill], eatType[coffee shop], food[French], priceRange[cheap], area[riverside], near[The Sorrento]
****
Q: Yes there's a cheap family friendly restaurant near The Bakers, it's called The Golden Curry and serves French food.

A: name[The Golden Curry], food[French], priceRange[cheap], familyFriendly[yes], near[The Bakers]
****
Q: The Vaults is a moderately priced coffee shop located near Café Brazil in the City Centre with a 1 out of 5 customer rating.

A:
name[The Vaults], eatType[coffee shop], priceRange[moderate], customer rating[1 out of 5], area[city centre], near[Café Brazil]
****
