Update README.md

README.md

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-# Dataset Card for "pile_arxiv_doc_mia"
+# ArXiv papers from The Pile for document-level membership inference for LLMs
+
+This dataset contains full ArXiv papers randomly sampled from the train (members) and test (non-members) dataset from the Pile(https://huggingface.co/datasets/monology/pile-uncopyrighted). 
+As such, the daatset can be used to develop and evaluate document-level MIAs against LLMs trained on The Pile. 
+
+Target models include the suite of Pythia Models
+
+We randomly sample $1,000$ documents from the train set (members) and $1,000$ documents from the test set (non-members) from (the uncopyrighted version of) the Pile~\cite{pile_uncopyrighted}, ensuring that the selected documents have at least $5,000$ words (any sequences of characters seperated by a white space). We then split each document in $25$ sequences of $200$ words, and consider as full documents the first $5,000$ words. 
 
 [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)