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 is an Indian pub near Café Rouge.  They are family friendly and cost less than £20.

Output: name[The Plough], eatType[pub], food[Indian], priceRange[less than £20], familyFriendly[yes], near[Café Rouge]


Input: Consider Input: The Rice Boat provides Indian food in the moderate price range. It is located in the city centre. It is near Express by Holiday Inn. Its customer rating is 1 out of 5.

Output: name[The Rice Boat], food[Indian], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[yes], near[Express by Holiday Inn]


Input: Consider Input: Alimentum is a 5 out of 5 rated, cheap-priced French eatery near Yippee Noodle Bar.


Output: name[Alimentum], food[French], priceRange[cheap], customer rating[5 out of 5], area[riverside], near[Yippee Noodle Bar]