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: Serving Japanese food is Cocum coffee shop. Though with a low customer rating, Cocum is family friendly and the price range is under £20.

Output: name[Cocum], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[low], familyFriendly[yes]


Input: Consider Input: A restaurant named The Golden Curry is located near The Bakers. It has Indian food and is not kid friendly with a moderate price range

Output: name[The Golden Curry], food[Indian], priceRange[moderate], familyFriendly[no], near[The Bakers]


Input: Consider Input: In the city centre near Café Rouge you will find a low rated French restaurant named The Golden Curry. It is not family-friendly.


Output: name[The Golden Curry], food[French], customer rating[low], area[city centre], familyFriendly[no], near[Café Rouge]