Dataset · Hugging Face

responsible-ai-labs/RAIL-HH-10K

Name: RAIL-HH-10K
Creator: responsible-ai-labs
License: mit
Keywords: task_categories:text-generation, task_categories:reinforcement-learning, task_categories:question-answering, task_categories:feature-extraction, language:en, license:mit, size_categories:10K<n<100K, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2505.00204

RAIL-HH-10K: Multi-Dimensional Safety Alignment Dataset The first large-scale safety dataset with 99.5% multi-dimensional annotation coverage across 8 ethical dimensions. 📖 Read Blog • 📖 Paper (Coming Soon) • 🚀 Quick Start • 🔌 RAIL API • 💻 Examples 🌟 What Makes RAIL-HH-10K Special? 🎯 Near-Complete Coverage 99.5% dimension coverage across all 8 ethical dimensions Most existing datasets: 40-70% coverage RAIL-HH-10K: 98-100%… See the full description on the dataset page: https://huggingface.co/datasets/responsible-ai-labs/RAIL-HH-10K.

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Author / organization	responsible-ai-labs
License (as declared)	mit
Downloads	244 (as reported by Hugging Face)
Likes	6
Created	31 October 2025
Last updated at source	12 June 2026

safetyalignmentrlhfdpoethicsresponsible-aipreference-learningfairrail-score

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