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.
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Question: Loch Fyne is a non-family friendly Chinese restaurant.

Answer: name[Loch Fyne], eatType[restaurant], food[Chinese], familyFriendly[no]


Question: Expect to pay more than £30 at The Vaults, an expensive but kid friendly Chinese restaurant.

Answer: name[The Vaults], food[Chinese], priceRange[more than £30], familyFriendly[yes]


Question: Japanese cuisine served close to the city centre called Fitzbillies has an average customer review with prices less than £20 does not cater for children in this coffee shop.

Answer:
name[Fitzbillies], eatType[coffee shop], food[Japanese], priceRange[less than £20], customer rating[average], area[city centre], familyFriendly[no]


