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:
Giraffe located near The Bakers is a coffee shop with a modest price range of £20-25 with a high rating from our fans, no children

Ex Output:
name[Giraffe], eatType[coffee shop], priceRange[£20-25], customer rating[high], familyFriendly[no], near[The Bakers]


Ex Input:
Strada Sushi is a moderately priced, family friendly restaurant near the Rainbow Vegetarian Café.

Ex Output:
name[Strada], food[Japanese], priceRange[moderate], customer rating[1 out of 5], familyFriendly[yes], near[Rainbow Vegetarian Café]


Ex Input:
The Golden Curry  serves English dishes, and is child friendly. It is in the riverside district near Café Rouge, but it has a 1 out of 5 star rating.

Ex Output:

name[The Golden Curry], food[English], customer rating[1 out of 5], area[riverside], familyFriendly[yes], near[Café Rouge]