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.

Input: Consider Input: The Plough, near Café Rouge, is a pub serving Italian food. It is not children friendly and in the high price range.

Output: name[The Plough], eatType[pub], food[Italian], priceRange[high], familyFriendly[no], near[Café Rouge]


Input: Consider Input: The Golden Palace is a coffee shop that serves high end foods for reasonable prices.

Output: name[The Golden Palace], eatType[coffee shop], food[French], priceRange[£20-25], customer rating[high], area[riverside]


Input: Consider Input: Clowns offers pub style dining at affordable prices. It is located in the riverside area and has a customer rating of 5 out of 5.


Output: name[Clowns], eatType[pub], priceRange[cheap], customer rating[5 out of 5], area[riverside]