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:
Blue Spice in Riverside has options priced less than £20. It's family-friendly and has an average customer rating.

Ex Output:
name[Blue Spice], priceRange[less than £20], customer rating[average], area[riverside], familyFriendly[yes]


Ex Input:
The Golden Curry provides Indian food Its customer rating is average.

Ex Output:
name[The Golden Curry], food[Indian], customer rating[average], familyFriendly[no]


Ex Input:
In the city centre is located a coffee shop named The Golden Palace that offers French food with a price range less than £20 but it has a low customer rating.

Ex Output:

name[The Golden Palace], eatType[coffee shop], food[French], priceRange[less than £20], customer rating[low], area[city centre]