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: Browns Cambridge is an Indian restaurant that is not family friendly and located near The Sorrento, near the city centre.

Output: name[Browns Cambridge], food[Indian], area[city centre], familyFriendly[no], near[The Sorrento]


Input: Consider 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.

Output: name[The Olive Grove], eatType[pub], food[English], priceRange[less than £20], area[city centre], familyFriendly[yes]


Input: Consider Input: Loch Fyne serves average Indian food in the city centre near The Rice Boat.


Output: name[Loch Fyne], food[Indian], customer rating[average], area[city centre], near[The Rice Boat]