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: Fitzbillies is a great coffee shop which sells Indian food. Prices ranging from £20-25. They have a high customer rating. Can be found in the city centre. No children allowed

Answer: name[Fitzbillies], eatType[coffee shop], food[Indian], priceRange[£20-25], customer rating[high], area[city centre], familyFriendly[no]


Question: Rated 1 out of 5, Cotto is a fast food coffee shop. Cotto is moderately priced and located in the riverside area near The Portland Arms.

Answer: name[Cotto], eatType[coffee shop], food[Fast food], priceRange[moderate], customer rating[1 out of 5], area[riverside], near[The Portland Arms]


Question: There is an Fitzbillies, they are serving Italian pasta and they are cheap.

Answer:
name[Fitzbillies], eatType[coffee shop], food[Italian], priceRange[cheap], customer rating[average], area[riverside], familyFriendly[yes]