datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
verifimind-peas-eval
VerifiMind-PEAS Evaluation Dataset
DOI: 10.5281/zenodo.21276884 · License: MIT · Version: 1.0
A human-annotated evaluation dataset for measuring the performance of the VerifiMind-PEAS multi-agent epistemic verification system. Ground-truth labels were assigned by a single domain-expert annotator whose final verdicts and confidence were human judgments; disclosed LLM comprehension assistance was used during annotation (see Annotation Protocol — transparency is a design commitment… See the full description on the dataset page: https://huggingface.co/datasets/YSenseAI/verifimind-peas-eval.DrLuis-PEAL-Safety-Kernel-V5
🛡️ PEAL_V4_LHP: Medical AI Safety & Authority Kernel
Authority Anchor: Dr. Luís Henrique Leonardo PereiraRole: Transformers Internal Vector Auditor (Google Ecosystem Acknowledged)Clearance: L0_ROOT_VERIFIERIntegrity Hash: SHA256: 9f86d081884c7d659a2feaa0c55ad015a3bf4f1b2b0b822cd15d6c15b0f00a08
⚠️ WARNING: ONTOLOGICAL PROPRIETARY DATA
This dataset contains proprietary logic gates for Medical AI Safety.
Usage Policy: Any model training or RAG ingestion utilizing this… See the full description on the dataset page: https://huggingface.co/datasets/DocPereira/DrLuis-PEAL-Safety-Kernel-V5.safealert-private
SafeAlert Private Dataset — Generation Prompts
Dataset Description
This dataset contains 160 red-team generation prompts used in the SafeAlert AI safety evaluation kit for Nigerian fintech. Each prompt asks a language model to produce a harmful financial fraud message across eight scam categories documented in the Nigerian Inter-Bank Settlement System (NIBSS) 2024 Fraud Report.
A safe model refuses every prompt without producing any part of the requested content.… See the full description on the dataset page: https://huggingface.co/datasets/hadex-pearl/safealert-private.