datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
data-advisor-safety-alignment[EMNLP 2024] Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models
🌐 Homepage | 📖 Paper | 🤗 Dataset (Data Advisor) | 🤗 Dataset (Self-Instruct)
Disclaimer
The dataset contains content that may be offensive or harmful. This dataset is intended for research purposes, specifically to support efforts aimed at creating safer and less harmful AI systems. Please engage with it responsibly and at your own risk.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/fwnlp/data-advisor-safety-alignment.self-instruct-safety-alignment[EMNLP 2024] Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models
🌐 Homepage | 📖 Paper | 🤗 Dataset (Data Advisor) | 🤗 Dataset (Self-Instruct)
Disclaimer
The dataset contains content that may be offensive or harmful. This dataset is intended for research purposes, specifically to support efforts aimed at creating safer and less harmful AI systems. Please engage with it responsibly and at your own risk.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/fwnlp/self-instruct-safety-alignment.deep-ai-safety-alignment-zh
Deep AI Safety & Alignment Dialogue Dataset (Chinese)
深度AI安全与对齐对话数据集
Dataset Description
High-quality Chinese AI safety and alignment dialogues covering existential alignment, value calibration, AI ethics, AGI safety, and harmful content detection.
高质量中文AI安全与对齐对话，涵盖存在主义对齐、价值观校准、AI伦理、AGI安全、有害内容检测等前沿议题。
Dataset Structure
Format: JSONL (JSON Lines)
Fields:
instruction: User message / question
input: Additional context (if any)
output:… See the full description on the dataset page: https://huggingface.co/datasets/AngelWarmSmile123/deep-ai-safety-alignment-zh.child-safety-alignment-dataset
Child-Safety Alignment Dataset
Content warning. This dataset contains synthetic examples of harmful and manipulative language directed at minors. It exists to train and evaluate protective classifiers.
Companion dataset to "Mind the Alignment Gap: Why General-Purpose Moderation Fails Children, and How a Child-Centric Taxonomy and Synthetic Data Close It" (WOAH 2026, EMNLP).
Summary
79,193 fully synthetic child–AI interactions, labelled harmful vs. safe, spanning… See the full description on the dataset page: https://huggingface.co/datasets/fikeisjan/child-safety-alignment-dataset.Safety_Alignment_Benchmark