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: it is a Fast food and family yes with The Waterman and cheap food riverside has 5 out of 5

Answer: name[The Waterman], food[Fast food], priceRange[cheap], customer rating[5 out of 5], area[riverside], familyFriendly[yes]


Question: The coffee shop named The Eagle has cheap Indian food and an average customer rating. It is near the Burger King on the riverside and is not family friendly.

Answer: name[The Eagle], eatType[coffee shop], food[Indian], priceRange[cheap], customer rating[average], area[riverside], familyFriendly[no], near[Burger King]


Question: Fitzbillies is  a coffee shop serving Japanese food at moderate prices. They are kid friendly and have a low customer rating of 1 out of 5.. They are located in the city centre.

Answer:
name[Fitzbillies], eatType[coffee shop], food[Japanese], priceRange[moderate], customer rating[1 out of 5], area[city centre], familyFriendly[yes]