datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Ai_ethics_dataset
AI Ethics Preference Annotation Dataset
A human-annotated preference dataset for RLHF and Direct Preference Optimization (DPO), focused on AI ethics failure modes. 95 prompts, 190 response pairs, full annotation across five dimensions.
Annotator: Mandy Hathaway — AI ethics specialist and technical writer with an MA in Ethical Technology & Artificial Intelligence. mandyhathaway.com
Dataset Summary
Most public preference datasets optimize for general helpfulness or… See the full description on the dataset page: https://huggingface.co/datasets/animasuri/Ai_ethics_dataset.animal-alignment-feedback
Open Paws Animal Alignment Feedback
🐾 Human feedback and preference data for aligning AI with animal advocacy values
Overview
This dataset is part of the Open Paws initiative to develop AI training data aligned with animal liberation and advocacy principles. Created to train AI systems that understand and promote animal welfare, rights, and liberation.
Dataset Details
Dataset Type: Feedback Data
Format: CSV (Comma-separated values)
Languages: Multilingual… See the full description on the dataset page: https://huggingface.co/datasets/open-paws/animal-alignment-feedback.