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spadeMIA/GoodWiki_Corpus_1024_2040

GoodWiki 1024–2040: paragraph-truncated MIA fine-tuning corpus A deterministic, paragraph-truncated corpus of English Wikipedia Good/Featured articles, built from euirim/goodwiki for membership inference attack (MIA) experiments on fine-tuned language models. Membership labels are defined relative to the fine-tuning population. train (10,000 rows) is the only split used for fine-tuning, and every row has label = 1. test (1,000 rows) remains held out, and every row has label =… See the full description on the dataset page: https://huggingface.co/datasets/spadeMIA/GoodWiki_Corpus_1024_2040.

Author / organizationspadeMIA
License (as declared)cc-by-sa-4.0
Downloads183 (as reported by Hugging Face)
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Created24 July 2026
Last updated at source10 August 2026
membership-inferenceprivacywikipediamarkdownfine-tuning
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