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 Dumpling Tree, riverside near Café Sicilia, is a high priced, non family-friendly coffee shop.

Output: name[The Dumpling Tree], eatType[coffee shop], priceRange[more than £30], area[riverside], familyFriendly[no], near[Café Sicilia]


Input: Consider Input: The Cricketers is a Japanese restaurant near All Bar One.

Output: name[The Cricketers], eatType[restaurant], food[Japanese], near[All Bar One]


Input: Consider Input: With a customer rating of 3 out of 5 you can expect to dine at Cocum- a non child friendly coffee shop with a high price range serving French food.


Output: name[Cocum], eatType[coffee shop], food[French], priceRange[high], customer rating[3 out of 5], familyFriendly[no]