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 coffee shop named The Eagle has cheap Indian food and an average customer rating. It is near the Burger King on the riverside and is not family friendly.

Ex Output:
name[The Eagle], eatType[coffee shop], food[Indian], priceRange[cheap], customer rating[average], area[riverside], familyFriendly[no], near[Burger King]


Ex Input:
Near All Bar One in the riverside area is kid friendly Green Man. The price range is between £20-25.

Ex Output:
name[Green Man], food[Japanese], priceRange[£20-25], area[riverside], familyFriendly[yes], near[All Bar One]


Ex Input:
The Waterman pub has a low rating and serves Indian food in Riverside.

Ex Output:

name[The Waterman], eatType[pub], food[Indian], customer rating[low], area[riverside]