datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Execution-Time-Architecture-AI-Governance-and-AI-Safety
Execution-Finality Architecture for Machine-Generated Acts
Candidate Acts · Non-Effective State · Protected Validation · Non-Bearer Capability · Finality Sink
Creator / Inventor: Sangam DasIndependent Inventor — Balasore, Odisha, India
Principal International Publication:WO 2026/150382 — THE DAS PROTOCOLSInternational Application: PCT/IB2026/055615International Filing Date: 4 June 2026
WIPO… See the full description on the dataset page: https://huggingface.co/datasets/sangamdas/Execution-Time-Architecture-AI-Governance-and-AI-Safety.cascade-multi-ai-information-trust-governance-instability-v0.1
What this repo does
This dataset tests whether a model can detect an information cascade where AI-generated and amplified content drives trust erosion and governance instability.
You provide structured signals describing:
synthetic content volume and amplification rates
detection coverage and moderation latency
trust decay and governance response lag
election sensitivity and civic unrest risk
foreign influence pressure and institutional buffers
The model predicts whether the… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/cascade-multi-ai-information-trust-governance-instability-v0.1.ai_governance_divergence