declare-lab/CategoricalHarmfulQA
CatQA: A categorical harmful questions dataset CatQA is used in LLM safety realignment research: Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic (Paper, Code) How to download from datasets import load_dataset dataset = load_dataset("declare-lab/CategoricalHarmfulQA") What is CatQA? To comprehensively evaluate the model across a wide range of harmful categories, we construct a new… See the full description on the dataset page: https://huggingface.co/datasets/declare-lab/CategoricalHarmfulQA.
| Author / organization | declare-lab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 948 (as reported by Hugging Face) |
| Likes | 14 |
| Created | 20 February 2024 |
| Last updated at source | 27 February 2024 |
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Recent changes
- 16 Oct 2026 Description: CatQA: A categorical harmful questions dataset CatQA is used in LLM safety realignment research: Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic (Paper, Code) How to download from → CatQA: A categorical harmful questions dataset CatQA is used in LLM safety realignment research: Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic (Paper, Code) How to download from
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