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: Alimentum is an Indian restaurant that is moderately priced. It is kid friendly and in the city centre.

Output: name[Alimentum], food[Indian], priceRange[moderate], area[city centre], familyFriendly[yes]


Input: Consider Input: The Waterman provides Chinese food. Its price range is moderate and it has a customer rating of 1 out of 5. It is in the city centre and it is not kids friendly.

Output: name[The Waterman], food[Chinese], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[no]


Input: Consider Input: Amongst children-friendly  restaurants with prices more than £30 standing Japanese Loch Fyne.


Output: name[Loch Fyne], eatType[restaurant], food[Japanese], priceRange[more than £30], familyFriendly[yes]