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 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: The Vaults, is a high priced pub with a 3 out of 5 rating near Café Adriatic.

Output: name[The Vaults], eatType[pub], priceRange[high], customer rating[3 out of 5], near[Café Adriatic]


Input: Consider Input: By The Rice Boat in the center of the city a French restaurant called Loch Fyne is rated 5 out of 5 by customers.


Output: name[Loch Fyne], food[French], customer rating[5 out of 5], area[city centre], near[The Rice Boat]