SimMIA/WikiMIA-25
WikiMIA-25 Dataset Summary WikiMIA-25 is an evaluation-only dataset used to assess membership inference attacks (MIA) on language models, with a particular focus on recent models. The dataset follows the dataset construction methodology introduced in WikiMIA-24, which includes newer non-member data to support evaluation under more recent training cutoff assumptions. Supported Tasks Membership Inference Attack (MIA) Binary classification (member… See the full description on the dataset page: https://huggingface.co/datasets/SimMIA/WikiMIA-25.
| Author / organization | SimMIA |
|---|---|
| License (as declared) | mit |
| Downloads | 430 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 19 January 2026 |
| Last updated at source | 19 January 2026 |
Recent changes
- 16 Oct 2026 Description: WikiMIA-25 Dataset Summary WikiMIA-25 is an evaluation-only dataset used to assess membership inference attacks (MIA) on language models, with a particular focus on recent models. The dataset follows the dataset construction methodology int → WikiMIA-25 Dataset Summary WikiMIA-25 is an evaluation-only dataset used to assess membership inference attacks (MIA) on language models, with a particular focus on recent models. The dataset follows the dataset construction methodology int
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