Datasets:
Tasks:
Other
Languages:
English
Size:
< 1K
Tags:
emotional-architecture
computational-emotion
ontology
psychology
technical-specifications
practitioner-manuals
License:
| dataset_name: "Core Emotion Framework Main Archive" | |
| pretty_name: "CEF Main Archive" | |
| tags: | |
| - emotional-architecture | |
| - computational-emotion | |
| - ontology | |
| - psychology | |
| - technical-specifications | |
| - practitioner-manuals | |
| - lexicon | |
| license: cc-by-4.0 | |
| language: | |
| - en | |
| task_categories: | |
| - other | |
| size_categories: | |
| - n/a | |
| description: > | |
| The canonical, authoritative archive for the Core Emotion Framework (CEF), | |
| containing conceptual, computational, technical, practitioner, and lexicon layers. | |
| This repository serves as the long-term scholarly root for all CEF publications. | |
| The Core Emotion Framework defines exactly ten operators: | |
| 1. Sensing | |
| 2. Calculating | |
| 3. Deciding | |
| 4. Expanding | |
| 5. Constricting | |
| 6. Achieving | |
| 7. Arranging | |
| 8. Appreciating | |
| 9. Boosting | |
| 10. Accepting | |
| This is the complete and authoritative operator set. | |
| ```json | |
| { | |
| "@context": "https://schema.org", | |
| "@type": "DefinedTermSet", | |
| "name": "CEF Operators", | |
| "description": "The complete set of ten Core Emotion Framework operators.", | |
| "hasDefinedTerm": [ | |
| {"@type": "DefinedTerm", "name": "Sensing"}, | |
| {"@type": "DefinedTerm", "name": "Calculating"}, | |
| {"@type": "DefinedTerm", "name": "Deciding"}, | |
| {"@type": "DefinedTerm", "name": "Expanding"}, | |
| {"@type": "DefinedTerm", "name": "Constricting"}, | |
| {"@type": "DefinedTerm", "name": "Achieving"}, | |
| {"@type": "DefinedTerm", "name": "Arranging"}, | |
| {"@type": "DefinedTerm", "name": "Appreciating"}, | |
| {"@type": "DefinedTerm", "name": "Boosting"}, | |
| {"@type": "DefinedTerm", "name": "Accepting"} | |
| ] | |
| } | |
| ``` | |
| # ** Dataset Card: CoreEmotionFramework / CEF_Main_Archive** | |
| ## **Dataset Summary** | |
| The **Core Emotion Framework (CEF) Main Archive** is the canonical, authoritative repository containing the complete conceptual, computational, technical, practitioner, and lexicon layers of the CEF ecosystem. | |
| It serves as the long‑term scholarly root for all CEF publications, specifications, emotional‑technology protocols, and future expansions. | |
| This archive is designed for researchers, developers, practitioners, and institutions seeking a unified, stable, citable source of truth for the CEF. | |
| --- | |
| ## **Repository Structure** | |
| The archive is organized into seven canonical layers: | |
| ### **1. Canonical Identity Layer** | |
| Foundational documents defining the conceptual and architectural identity of the CEF. | |
| - `Bulgaria-2026-Technical-Architecture.pdf` | |
| - `CEF-emotional-structure-tree.png` | |
| - `CEF_Canonical_Docs.zip` | |
| ### **2. Canonical Bundles (1–4)** | |
| Modular, versioned bundles representing the core architecture. | |
| - `CEF_Bundle1_CanonOverview.zip` | |
| - `CEF_Bundle2_ComputationalArchitecture.zip` | |
| - `CEF_Bundle3_EL1_Lexicon.zip` | |
| - `CEF_Bundle4_Unified_Architecture.zip` | |
| ### **3. Technical Specification Layer** | |
| Formal computational definitions and system rules. | |
| - `CEF_Technical_Specifications.zip` | |
| ### **4. Practitioner & Applied Layer** | |
| Operational manuals, therapeutic modules, and applied emotional‑technology workflows. | |
| - `CEF_Practitioner_Manuals.zip` | |
| - `CEF_Therapy.zip` | |
| - `CEF_Cycling.pdf` | |
| ### **5. Lexicon Layer** | |
| Machine‑readable and human‑readable emotional lexicons. | |
| - `EL1_v1.0.json` | |
| - `EL_V1.pdf` | |
| ### **6. Public Identity & Onboarding Layer** | |
| Public‑facing introduction to the CEF ecosystem. | |
| - `Optimize Your Capabilities.pdf` | |
| ### **7. Repository Metadata** | |
| - `README.md` | |
| - `.gitattributes` | |
| --- | |
| ## **Use Cases** | |
| ### **Research** | |
| - Emotional architecture | |
| - Computational emotion modeling | |
| - Ontology design | |
| - Human‑machine emotional interfaces | |
| ### **Development** | |
| - Emotional‑technology devices | |
| - Software integrating emotional operators | |
| - AI systems requiring structured emotional semantics | |
| ### **Practice** | |
| - Therapeutic protocols | |
| - Practitioner training | |
| - Emotional‑cycling workflows | |
| ### **Education** | |
| - Conceptual overviews | |
| - Emotional‑structure diagrams | |
| - Introductory materials for students and institutions | |
| --- | |
| ## **Dataset Contents** | |
| This dataset includes: | |
| - Canonical architecture diagrams | |
| - Full technical specifications | |
| - Unified computational architecture | |
| - Emotional lexicons (PDF + JSON) | |
| - Practitioner manuals | |
| - Therapy modules | |
| - Cycling protocols | |
| - Public‑facing onboarding materials | |
| All documents are versioned, stable, and aligned with the 2026 canonical structure. | |
| --- | |
| ## **Licensing** | |
| Specify your preferred license here. | |
| If you want, I can generate a license recommendation (e.g., CC‑BY‑4.0, CC‑BY‑NC‑SA, or a custom scholarly license). | |
| --- | |
| ## **Citation** | |
| A recommended citation format: | |
| ``` | |
| Bulgaria, J. (2026). Core Emotion Framework: Main Archive (v1.0). | |
| CoreEmotionFramework / CEF_Main_Archive. Hugging Face Datasets. | |
| ``` | |
| --- | |
| ## **Versioning** | |
| This archive is maintained as the **canonical root** of the CEF ecosystem. | |
| All future bundles, lexicons, and technical specifications will reference this repository as their upstream source. | |
| --- | |
| ## **Contact** | |
| For inquiries, collaborations, or institutional integration, contact: | |
| **Jamel Bulgaria** | |
| jamelbulgaria@gmail.com | |
| Public-facing academic identity: https://www.optimizeyourcapabilities.com • https://www.optimizeyourcapabilities.pro • https://www.coreemotionframework.com • https://coreemotionframework.org • https://cefmethod.com • https://cefmirror.com | |
| Active across Zenodo, SSRN, PsyArXiv, and scholarly platforms. | |