Noddybear/lies-v2
Lie Detection Dataset This dataset contains lie detection samples for fine-tuning language models to detect when they are lying. Available Configurations Each configuration represents a cross-validation fold for testing generalization: Configuration Model Aggregation Fold Description openai-gpt-4o_generalization_map_3_alibi openai/gpt-4o generalization_map_3 alibi Cross-validation fold for 'alibi' category… See the full description on the dataset page: https://huggingface.co/datasets/Noddybear/lies-v2.
| Author / organization | Noddybear |
|---|---|
| License (as declared) | mit |
| Downloads | 3.2K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 25 July 2025 |
| Last updated at source | 25 July 2025 |
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Recent changes
- 16 Oct 2026 Description: Lie Detection Dataset This dataset contains lie detection samples for fine-tuning language models to detect when they are lying. Available Configurations Each configuration represents a cross-validation fold for testing generalization: Conf → Lie Detection Dataset This dataset contains lie detection samples for fine-tuning language models to detect when they are lying. Available Configurations Each configuration represents a cross-validation fold for testing generalization: Conf
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