zzha6204/MM-Health
From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation GitHub Repository: https://github.com/grantzyr/MM-Health-Dataset Dataset Description MM-Health is a large-scale multimodal dataset designed for detecting both human and AI-generated health misinformation. The dataset consists of 34,746 news articles encompassing both textual and visual information, making it the most comprehensive multimodal health misinformation… See the full description on the dataset page: https://huggingface.co/datasets/zzha6204/MM-Health.
| Author / organization | zzha6204 |
|---|---|
| License (as declared) | cc |
| Downloads | 153 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 18 November 2025 |
| Last updated at source | 20 November 2025 |
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153 now (-9 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation GitHub Repository: https://github.com/grantzyr/MM-Health-Dataset Dataset Description MM-Health is a large-scale multimodal dataset designed → From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation GitHub Repository: https://github.com/grantzyr/MM-Health-Dataset Dataset Description MM-Health is a large-scale multimodal dataset designed
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