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.

Q: Indian restaurant Midsummer House has an average customer rating and is found near All Bar One. It has a high price range.

A: name[Midsummer House], food[Indian], priceRange[high], customer rating[average], near[All Bar One]
****
Q: The Punter sells French food. its price range is less than £20.

A: name[The Punter], food[French], priceRange[less than £20]
****
Q: Cocum is a coffee shop which serves Indian food. It has a high price range and is child friendly. Customers rate this coffee shop 1 out of 5.

A:
name[Cocum], eatType[coffee shop], food[Indian], priceRange[high], customer rating[1 out of 5], familyFriendly[yes]
****