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:
Located by the river side, Giraffe is an English pub that is also kid-friendly.

Ex Output:
name[Giraffe], eatType[pub], food[English], area[riverside], familyFriendly[yes]


Ex Input:
The Vaults is a high price Range children Friendly Fast food restaurant.

Ex Output:
name[The Vaults], food[Fast food], priceRange[high], familyFriendly[yes]


Ex Input:
Fitzbillies costs more than £30 and is near the Rainbow Vegetarian Café

Ex Output:

name[Fitzbillies], priceRange[more than £30], near[Rainbow Vegetarian Café]