---
license: mit
language:
- fr
- en
tags:
- philosophy
- epistemology
- artificial-intelligence
- systems-thinking
- value-alignment
- cognitive-sciences
pretty_name: Value Hexagram Corpus & Integrations
size_categories:
- 10K<n<100K
---

# Value Hexagram (Hexagramme de Valeur) — Corpus & Integrations Dataset

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.20811054.svg)](https://doi.org/10.5281/zenodo.20811054)

This dataset contains the foundational research, thinker integrations, and technical specifications for the **Value Hexagram (Hexagramme de Valeur)** — an open-source epistemological framework designed to augment Generative AI with 290 concepts and 16 tension axes from global philosophical, scientific, and spiritual traditions.

It is intended for researchers in cognitive sciences, AI ethics, sociology, and management who wish to study or contribute to the integrative reasoning capabilities of AI systems.

| Resource | Link |
|----------|------|
| 🚀 **Live Application** | [hexagram-community-hexagramme-de-valeur.static.hf.space](https://hexagram-community-hexagramme-de-valeur.static.hf.space) |
| 📄 **Citable Publication (DOI)** | [10.5281/zenodo.20811054](https://doi.org/10.5281/zenodo.20811054) |
| 🌐 **Wassati** | [wassati.com](https://www.wassati.com) |

## Dataset Structure

### `00_core_data/` (Core JSON Data)
Machine-readable structured data extracted from the live application (v19.23ae).
- `concepts.json` — 242 cleaned concept labels across all 5 graphs
- `tension_axes.json` — The 16 tension axes and their poles (FR + EN)
- `hexagram_synthesis.json` — Summary: version, counts, 16 axes, 6 meta-tensions
- `graphs_descriptions.json` — Titles and descriptions of the 5 graphs (G1–G5)
- `graph_modal_data_raw.js` — Raw modal data from the application



The dataset is organized into 5 main directories:

### `01_integrations_penseurs/` (Thinker Integrations)
Contains documented examples of how external intellectual frameworks are integrated into the Hexagram. These files are crucial for understanding the **epistemic enrichment process**.
- Integration of Geert Hofstede (Cultural dimensions)
- Integration of Michel Saloff-Coste (Intercentric love & Evolutionary grid)
- Integration of Philippe Guillemant (Retrocausality & Synchronicity)
- Integration of Pamela Magotte, Edgar Morin, etc.

### `02_recherches_academiques/` (Academic Research)
Thematic research notes on the systemic implications of the Hexagram.
- Elevation of consciousness
- Critique of values
- Worldviews and mental models

### `03_fondations_systemiques/` (Systemic Foundations)
Core conceptual documents defining the architecture of the Hexagram and its 5 graphs (G1 to G5).
- The 3-layer Generative System (Enga.ia × Hexagram × DEMS)
- Analysis of the G5 (Mandala / Sphere)
- The 16 tension axes and 6 meta-tensions

### `04_specifications_ia/` (AI Specifications)
Technical specifications and metaprompts for integrating the Hexagram into LLMs.
- Universal Canvas Prompt
- AI System Metaprompt
- Problem-oriented guidance specifications

### `05_sources_brutes/` (Raw Sources)
Raw text sources and articles used to build the integrations (Wikipedia, blogs, academic papers).

## How to use this dataset

This dataset is particularly valuable for:
1. **Fine-tuning LLMs** for integrative reasoning (using the `01_integrations_penseurs` as training examples).
2. **Studying cultural biases** in AI (using the Hofstede and Saloff-Coste integrations).
3. **Contributing new concepts**: Researchers can use the existing integration files as templates to map new philosophical or scientific traditions into the Hexagram.

## Companion Application
This dataset is the data layer for the interactive Value Hexagram application:
👉 [Value Hexagram App (Space)](https://huggingface.co/spaces/Hexagram-Community/hexagramme-de-valeur)

## Citation

If you use this dataset or the Value Hexagram in your research, please cite:

```bibtex
@software{peyret2026hexagram,
  author       = {Peyret, Henry},
  title        = {Value Hexagram / Hexagramme de Valeur — 3D Epistemological Mapping \& AI Generative System},
  year         = 2026,
  publisher    = {Zenodo},
  version      = {v7},
  doi          = {10.5281/zenodo.20811054},
  url          = {https://doi.org/10.5281/zenodo.20811054}
}
```

Or use the DOI directly: `10.5281/zenodo.20811054`

## License
MIT License — corpus files are CC BY 4.0 (see Zenodo record for details).