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:
Want to pay less than £20, go to Blue Spice, English food  in the city center.

Ex Output:
name[Blue Spice], food[English], priceRange[less than £20], area[city centre]


Ex Input:
In the city centre near Café Rouge you will find a low rated French restaurant named The Golden Curry. It is not family-friendly.

Ex Output:
name[The Golden Curry], food[French], customer rating[low], area[city centre], familyFriendly[no], near[Café Rouge]


Ex Input:
Alimentum serves English food in the price range of £20-£25. It is near the Yippee Noodle Bar in riverside and has a high customer rating.

Ex Output:

name[Alimentum], food[English], priceRange[£20-25], customer rating[high], area[riverside], near[Yippee Noodle Bar]