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 Golden Curry, an English restaurant in a moderate price range that is not kids friendly is situated near The Bakers

Ex Output:
name[The Golden Curry], food[English], priceRange[moderate], familyFriendly[no], near[The Bakers]


Ex Input:
A French restaurant that is priced between 20-25 euros with an average customer rating with a location in the center of the city is The Phoenix.

Ex Output:
name[The Phoenix], food[French], priceRange[£20-25], customer rating[3 out of 5], area[city centre]


Ex Input:
There is an Indian food restaurant called The Cambridge Blue. Although, they do have a low customer rating.

Ex Output:

name[The Cambridge Blue], eatType[restaurant], food[Indian], customer rating[low]