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 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.

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


Input: Consider Input: Fitzbillies is a great coffee shop which sells Indian food. Prices ranging from £20-25. They have a high customer rating. Can be found in the city centre. No children allowed

Output: name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[no]


Input: Consider Input: The Wrestlers coffee shop is located near Raja Indian Cuisine in the city centre area. It serves Japanese food in the moderate price range and is child friendly


Output: name[The Wrestlers], eatType[coffee shop], food[Japanese], priceRange[moderate], area[city centre], familyFriendly[yes], near[Raja Indian Cuisine]