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  # πŸ“˜ BookMIA Datasets
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  The **BookMIA datasets** serve as a benchmark designed to evaluate membership inference attack (MIA) methods, specifically in detecting pretraining data from OpenAI models that are released before 2023 (such as text-davinci-003).
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- The dataset contains non-member and member data: non-member data consists of text excerpts from books first published in 2023, while member data includes text excerpts from older books, as categorized by Chang et al. in 2023.
 
 
 
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  ### πŸ“Œ Applicability
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  # πŸ“˜ BookMIA Datasets
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  The **BookMIA datasets** serve as a benchmark designed to evaluate membership inference attack (MIA) methods, specifically in detecting pretraining data from OpenAI models that are released before 2023 (such as text-davinci-003).
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+ The dataset contains non-member and member data:
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+ - non-member data consists of text excerpts from books first published in 2023
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+ - member data includes text excerpts from older books, as categorized by Chang et al. in 2023.
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  ### πŸ“Œ Applicability
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