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.

Ex Input:
The Mill is a  pub in the city centre that serves Japanese Food at a price of lower than 20.

Ex Output:
name[The Mill], eatType[pub], food[Japanese], priceRange[less than £20], area[city centre]


Ex Input:
The Green Man offers Italian food at a medium price range suitable for families. It is situated near All Bar One.

Ex Output:
name[Green Man], food[Italian], priceRange[moderate], area[riverside], familyFriendly[yes], near[All Bar One]


Ex Input:
The Plough is a pub that provides English food near Café Rouge. It has a price rage of £20-25 and is kids friendly.

Ex Output:

name[The Plough], eatType[pub], food[English], priceRange[£20-25], familyFriendly[yes], near[Café Rouge]