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.

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

Example Input: A pub that is not children friendly is Cocum. The customer rating is 5 out of 5 and the price range is more than 30.
Example Output: name[Cocum], eatType[pub], priceRange[more than £30], customer rating[5 out of 5], familyFriendly[no]

Example Input: The Punter is located near The Portland Arms in the city centre. Their prices are less than £20 and they are family-friendly.
Example Output:
name[The Punter], priceRange[less than £20], area[city centre], familyFriendly[yes], near[The Portland Arms]

