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: Average restaurant named Strada.

Output: name[Strada], eatType[restaurant], customer rating[average]


Input: Consider Input: The kids-friendly coffee shop called The Wrestlers near riverside next to Raja Indian Cuisine also serve Indian foods with high price.

Output: name[The Wrestlers], eatType[coffee shop], food[Indian], priceRange[more than £30], area[riverside], familyFriendly[yes], near[Raja Indian Cuisine]


Input: Consider Input: Bibimbap House is located in City centre. They are an expensive Italian restaurant near Clare Hall.


Output: name[Bibimbap House], food[Italian], priceRange[high], area[riverside], near[Clare Hall]