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:
Browns Cambridge is an Indian restaurant that is not family friendly and located near The Sorrento, near the city centre.

Ex Output:
name[Browns Cambridge], food[Indian], area[city centre], familyFriendly[no], near[The Sorrento]


Ex Input:
The Eagle has a high customer rating and is  kid friendly Italian coffee shop near Burger King located in the Riverside area.

Ex Output:
name[The Eagle], eatType[coffee shop], food[Italian], priceRange[£20-25], customer rating[high], area[riverside], familyFriendly[yes], near[Burger King]


Ex Input:
The Golden Curry is a low rated kid friendly fast food place, located on the riverside near Café Rouge.

Ex Output:

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