muse-bench/MUSE-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… See the full description on the dataset page: https://huggingface.co/datasets/muse-bench/MUSE-News.
| Author / organization | muse-bench |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 5.5K (as reported by Hugging Face) |
| Likes | 4 |
| Created | 13 June 2024 |
| Last updated at source | 10 July 2024 |
Popularity, last 3 days
5,493 now (-298 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- Hyukkyu/Llama-3.1-8B-RAQUEL-MUSE-M-orig-LoRA-v1Model · used to train
- Hyukkyu/Qwen3-8B-Base-RAQUEL-MUSE-M-ret-LoRA-v1Model · used to train
- Lordvarun23/Llama-2-7b-MUSE-News-NPO-SAMModel · used to train
- Hyukkyu/Llama-3.1-8B-RAQUEL-MUSE-Unlearn-GA-GD-LoRA-v1Model · used to train
- Hyukkyu/Qwen3-8B-Base-RAQUEL-MUSE-Unlearn-SAUL-LoRA-v1Model · used to train
- Hyukkyu/Qwen3-8B-Base-RAQUEL-MUSE-Unlearn-IDK-GD-LoRA-v1Model · used to train
- Lordvarun23/Llama-2-7b-MUSE-News-GradDiffModel · used to train
- Hyukkyu/Llama-3.1-8B-RAQUEL-MUSE-Unlearn-NPO-GD-LoRA-v1Model · used to train
- Hyukkyu/Qwen3-8B-Base-RAQUEL-MUSE-Unlearn-GA-GD-LoRA-v1Model · used to train
- Lordvarun23/Llama-2-7b-MUSE-News-RMUModel · used to train
- Hyukkyu/Llama-3.1-8B-RAQUEL-MUSE-Unlearn-SAUL-LoRA-v1Model · used to train
- Hyukkyu/Qwen3-8B-Base-RAQUEL-MUSE-M-orig-LoRA-v1Model · used to train
- Hyukkyu/Qwen3-8B-Base-RAQUEL-MUSE-Unlearn-NPO-GD-LoRA-v1Model · used to train
- Lordvarun23/Llama-2-7b-MUSE-News-RMU-LATModel · used to train
- Hyukkyu/Llama-3.1-8B-RAQUEL-MUSE-M-ret-LoRA-v1Model · used to train
- Hyukkyu/Llama-3.1-8B-RAQUEL-MUSE-Unlearn-IDK-GD-LoRA-v1Model · used to train
- Lordvarun23/Llama-2-7b-MUSE-News-NPO-ILUModel · used to train
- Lordvarun23/Llama-2-7b-MUSE-News-RMU-ILUModel · used to train
- Hyukkyu/Llama-3.1-8B-RAQUEL-MUSE-Unlearn-RMU-LoRA-v1Model · used to train
- Lordvarun23/Llama-2-7b-MUSE-News-GradDiff-SAMModel · used to train
- Lordvarun23/Llama-2-7b-MUSE-News-RMU-SAMModel · used to train
- Hyukkyu/Qwen3-8B-Base-RAQUEL-MUSE-Unlearn-RMU-LoRA-v1Model · used to train
Recent changes
- 17 Oct 2026 Description: 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 o → 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 o
Changes detected by Silytics between refreshes of the source.
More from muse-bench
- muse-bench/MUSE-BooksDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.