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: For a pricey pub serving Indian, look for The Olive Grove in the city centre. please note, this venue is not child friendly.
Example Output: name[The Olive Grove], eatType[pub], food[Indian], priceRange[high], area[city centre], familyFriendly[no]

Example Input: Browns Cambridge offers expensive food in a casual, low end atmosphere.
Example Output: name[Browns Cambridge], food[English], priceRange[high], customer rating[1 out of 5]

Example Input: The Waterman offers Chinese food at a cheap price range. The rating is average and it is located in the city centre. They are family friendly.
Example Output:
name[The Waterman], food[Chinese], priceRange[cheap], customer rating[average], area[city centre], familyFriendly[yes]