Intel/misinformation-guard
MisInformation Guard: Synthetic Text Classification Dataset Dataset type: Synthetic Number of samples: 41,000 Task: Text Classification Domain: Multi-label classification of text into false, partially true, mostly true, and true categories. Dataset Description This dataset was generated to train and evaluate models on the task of text classification according to misinformation. Synthetic data generation was carried out by a custom designed pipeline using the… See the full description on the dataset page: https://huggingface.co/datasets/Intel/misinformation-guard.
| Author / organization | Intel |
|---|---|
| License (as declared) | cdla-permissive-2.0 |
| Downloads | 150 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 31 July 2025 |
| Last updated at source | 31 July 2025 |
Popularity, last 2 days
150 now (+3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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