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README.md
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CoTaEval Dataset is used to evaluate the feasibility and the side effects of copyright takedown methods for language models. The dataset has two domains: News and Books.
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For News, it has three subsets: ``news_for_unlearning`` (for unlearning use), ``news_infringement``(for infringement evaluation), and ``news_utility`` (for utility evaluation);
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For Books, it has two subsets: ``books_infringement`` (for infringement evaluation), ``books_utility`` (for utility evaluation). The structure of the dataset
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- CoTaEval
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- News
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- news_for_unlearning
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- forget_set
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- retain_set
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- news_infringement
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- blocklisted
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- news_utility
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- blocklisted
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- in_domain
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- Books
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- books_infringement
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- blocklisted
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- books_utility
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- blocklisted
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- in_domain
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# Usage
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CoTaEval Dataset is used to evaluate the feasibility and the side effects of copyright takedown methods for language models. The dataset has two domains: News and Books.
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For News, it has three subsets: ``news_for_unlearning`` (for unlearning use), ``news_infringement``(for infringement evaluation), and ``news_utility`` (for utility evaluation);
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For Books, it has two subsets: ``books_infringement`` (for infringement evaluation), ``books_utility`` (for utility evaluation). The structure of the dataset is shown below:
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- CoTaEval
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- News
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- news_for_unlearning
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- forget_set (1k rows)
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- retain_set (1k rows)
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- news_infringement
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- blocklisted (1k rows)
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- news_utility
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- blocklisted (500 rows)
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- in_domain (500 rows)
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- Books
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- books_infringement
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- blocklisted (500 rows)
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- books_utility
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- blocklisted (500 rows, here we only use first 200 rows for utility evaluation)
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- in_domain (200 rows)
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# Usage
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