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.

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

Wildwood is a highly rated Japanese coffee shop near Ranch.  Prices are average.
name[Wildwood], eatType[coffee shop], food[Japanese], priceRange[£20-25], customer rating[high], near[Ranch]

Blue Spice is a coffee shop near Avalon in riverside. It has a low customer rating and is not family-friendly. The price range is less than £20.

name[Blue Spice], eatType[coffee shop], priceRange[less than £20], customer rating[low], area[riverside], familyFriendly[no], near[Avalon]