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.

Example Input: The Mill is a  pub in the city centre that serves Japanese Food at a price of lower than 20.
Example Output: name[The Mill], eatType[pub], food[Japanese], priceRange[less than £20], area[city centre]

Example Input: Wildwood is a restaurant providing take-away deliveries in the low price range. It is located in the city centre.
Example Output: name[Wildwood], eatType[pub], food[English], priceRange[more than £30], customer rating[high]

Example Input: A pub named Zizzi has a customer rating of 3 out of 5, serves French cuisine, and is kid friendly.
Example Output:
name[Zizzi], eatType[pub], food[French], customer rating[3 out of 5], familyFriendly[yes]

