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: The Punter is a great fast food joint that is not too expensive.
Example Output: name[The Punter], food[Fast food], priceRange[moderate]

Example Input: Near The Portland Arms, In the city centre of city,  is a 3of5 stars coffee shop price moderate called Cotto, serves Fast food
Example Output: name[Cotto], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[3 out of 5], area[city centre], near[The Portland Arms]

Example Input: The Olive Grove is a pub that serves sushi at a medium price point located outside of the City centre.
Example Output:
name[The Olive Grove], eatType[pub], food[Japanese], priceRange[moderate], area[riverside], familyFriendly[yes]