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.

Example Input: The Rice Boat is not family-friendly. They have a customer rating 5 out of 5. They serve Japanese food. They are located in the riverside area near Express by Holiday Inn. There price range is cheap.
Example Output: name[The Rice Boat], food[Japanese], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[no], near[Express by Holiday Inn]

Example Input: Wildwood is a pub that serves sushi at a mid-range price level. It is not highly rated.
Example Output: name[Wildwood], eatType[pub], food[Japanese], priceRange[moderate], customer rating[1 out of 5]

Example Input: Giraffe is a moderately-priced, child-friendly coffee shop that is located near The Bakers and has a customer rating of 3 out of 5.
Example Output:
name[Giraffe], eatType[coffee shop], priceRange[moderate], customer rating[3 out of 5], familyFriendly[yes], near[The Bakers]