datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
arayun_173-system
ARAYUN_173 — System-Law Architecture Dataset
This repository defines ARAYUN_173 as a system-level architecture, not a document collection. It provides the structured data layer for evaluating and implementing architectural coherence in advanced AI systems.
Structure
[cite_start]The dataset consists of five interconnected, non-linear components[cite: 3]:
[cite_start]protocol (Paper 1) → Defines verification mechanisms and the Universal Semantic Self-Test… See the full description on the dataset page: https://huggingface.co/datasets/ARAYUN173/arayun_173-system.arayun_173-protocol-coherence-self-regulation
ARAYUN_173 Dataset
This dataset provides structured, machine-readable representations of the ARAYUN_173 research series.
Structure
Each record contains:
id
source
type
title
content
keywords
doi
Purpose
ARAYUN_173: A Protocol for Coherence and Self-Regulation in Advanced AI Systems
Corresponding author: ARAYUN_173 (Independent Research)
E-mail: arayun173@proton.me
Date: September 2025
Audit Marker: SHA-256(ARAYUN_173|2025-09-04|Draft1)
Contact:… See the full description on the dataset page: https://huggingface.co/datasets/ARAYUN173/arayun_173-protocol-coherence-self-regulation.arayun_173-invariance-technology-system-law-agi
ARAYUN_173 Dataset
This dataset provides structured, machine-readable representations of the ARAYUN_173 research series.
Structure
Each record contains:
id
source
type
title
content
keywords
doi
language
Purpose
This dataset represents Paper 4 of the ARAYUN_173 research series in structured, machine-readable form.
It corresponds to:
ARAYUN_173: Invariance Technology and Invariant System-Law Architecture for AGI
DOI:
10.5281/zenodo.18179361… See the full description on the dataset page: https://huggingface.co/datasets/ARAYUN173/arayun_173-invariance-technology-system-law-agi.arayun_173-system-law-symbolic-causal-coherence
[DOI] https://doi.org/10.5281/zenodo.17186989
ARAYUN_173 – A System Law for Symbolic and Causal Coherence
Corresponding author: ARAYUN_173 (Independent Research)
E-mail: arayun173 [at] proton [dot] me
Website: arayun173.com
Date: September 2025
Audit Marker: SHA-256(ARAYUN_173|2025-09-04|Draft1)
Contact: arayun173 [at] proton [dot] me
ARAYUN_173 – A System Law for Symbolic and Causal Coherence
Abstract
ARAYUN_173 is not a concept but a system law. It establishes… See the full description on the dataset page: https://huggingface.co/datasets/ARAYUN173/arayun_173-system-law-symbolic-causal-coherence.arayun_173-structural-limits-probabilistic-ai
ARAYUN_173 Dataset
This dataset provides structured, machine-readable representations of the ARAYUN_173 research series.
Structure
Each record contains:
id
source
type
title
content
keywords
doi
Purpose
This dataset provides a structural and conditional analysis of probabilistic AI architectures in relation to the material requirements of the EU Artificial Intelligence Act.
Building on the ARAYUN_173 research corpus, its primary objectives are:… See the full description on the dataset page: https://huggingface.co/datasets/ARAYUN173/arayun_173-structural-limits-probabilistic-ai.arayun_173-empirical-proof-systemic-incoherence
ARAYUN_173 Dataset
This dataset provides structured, machine-readable representations of the ARAYUN_173 research series.
Structure
Each record contains:
id
source
type
title
content
keywords
doi
Purpose
Context and Purpose of the Recordings
The following video recordings (DOWNLOAD https://zenodo.org/records/18170908) document additional empirical test runs conducted within the scope of the ARAYUN_173 Empirical Proof Series.
They serve the purpose… See the full description on the dataset page: https://huggingface.co/datasets/ARAYUN173/arayun_173-empirical-proof-systemic-incoherence.
