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 Giraffe is an Indian food adult only pub located in the city centre.

Ex Output:
name[Giraffe], eatType[pub], food[Indian], area[city centre], familyFriendly[no]


Ex Input:
Zizzi is a restaurant with prices more than £30. It is located in the city centre.

Ex Output:
name[Zizzi], eatType[restaurant], priceRange[more than £30], area[city centre]


Ex Input:
For Chinese food of a moderate price range Blue Spice in a good option. It is located in the city centre area.

Ex Output:

name[Blue Spice], food[Chinese], priceRange[moderate], area[city centre]