Muse
Datasets
All datasets matching “Muse”safedocs-1M-muse-spark-1.3-judged
SafeDocs: Muse Spark 1.3 judge annotations
Incrementally published, one complete shard per commit. All original source columns,
images, complete Paddle JSON, rows and row order are preserved. No language or quality
filtering. New columns: judge_verdict (PERFECT/ERROR), judge_reason, judge_status,
and judge_error. Operational failures retain the original page with a null verdict
and reason, status failed, and a diagnostic in judge_error; they are not OCR ERRORs.
Direct Meta API… See the full description on the dataset page: https://huggingface.co/datasets/albertklorer/safedocs-1M-muse-spark-1.3-judged.muse_textbooksMUSE-News
MUSE-News
MUSE is a comprehensive machine unlearning evaluation benchmark that assesses six key properties for unlearned models: (1) no verbatim memorization, (2) no knowledge memorization, (3) no privacy leakage, (4) utility preservation on data not intended for removal, (5) scalability with respect to the size of removal requests, and (6) sustainability over sequential unlearning requests. MUSE focuses on two types of textual data that commonly require unlearning: news articles… See the full description on the dataset page: https://huggingface.co/datasets/muse-bench/MUSE-News.MUSE-Books
MUSE-Books
MUSE is a comprehensive machine unlearning evaluation benchmark that assesses six key properties for unlearned models: (1) no verbatim memorization, (2) no knowledge memorization, (3) no privacy leakage, (4) utility preservation on data not intended for removal, (5) scalability with respect to the size of removal requests, and (6) sustainability over sequential unlearning requests. MUSE focuses on two types of textual data that commonly require unlearning: news articles… See the full description on the dataset page: https://huggingface.co/datasets/muse-bench/MUSE-Books.muse_textbooksmuse_textbooks