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  # ArXiv papers from The Pile for document-level membership inference for LLMs
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- This dataset contains full ArXiv papers randomly sampled from the train (members) and test (non-members) dataset from (the uncopyrighted version of) [the Pile](https://huggingface.co/datasets/monology/pile-uncopyrighted).
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  As such, the dataset can be used to develop and evaluate document-level MIAs against LLMs trained on The Pile.
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  Target models include the suite of Pythia and GPTNeo models, to be found [here](https://huggingface.co/EleutherAI).
 
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  # ArXiv papers from The Pile for document-level membership inference for LLMs
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+ This dataset contains **full** ArXiv papers randomly sampled from the train (members) and test (non-members) dataset from (the uncopyrighted version of) [the Pile](https://huggingface.co/datasets/monology/pile-uncopyrighted).
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  As such, the dataset can be used to develop and evaluate document-level MIAs against LLMs trained on The Pile.
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  Target models include the suite of Pythia and GPTNeo models, to be found [here](https://huggingface.co/EleutherAI).