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 coffee shop, The Punter, is a high priced shop located near Café Sicilia offering French food.  While children-friendly, customers have only given this location a 3 out of 5 rating.
name[The Punter], eatType[coffee shop], food[French], priceRange[high], customer rating[3 out of 5], familyFriendly[yes], near[Café Sicilia]

For Italian food in the riverside area, try the Aromi coffee shop, but keep in mind that it is not family-friendly and has a low customer rating.
name[Aromi], eatType[coffee shop], food[Italian], customer rating[low], area[riverside], familyFriendly[no]

The Cricketers, is a high-rating, kid-friendly coffee shop near The Portland Arms which offers Japanese food.

name[The Cricketers], eatType[coffee shop], food[Japanese], customer rating[high], familyFriendly[yes], near[The Portland Arms]