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 Olive Grove is in the centre of the city.  It's a pub that serves English food. It has a price range of less than £20 and is family-friendly.
Example Output: name[The Olive Grove], eatType[pub], food[English], priceRange[less than £20], area[city centre], familyFriendly[yes]

Example Input: The Wrestlers is a non kid friendly. moderately priced fast food restaurant with a customer rating of 3 out of 5.
Example Output: name[The Wrestlers], food[Fast food], priceRange[moderate], customer rating[3 out of 5], familyFriendly[no]

Example Input: there is a coffee shop near from Burger King at city centre named The Eagle made Japanese food
Example Output:
name[The Eagle], eatType[coffee shop], food[Japanese], priceRange[more than £30], customer rating[low], area[city centre], familyFriendly[no], near[Burger King]