Datasets:
The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: PdfminerException
Message: No /Root object! - Is this really a PDF?
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/pdfplumber/pdf.py", line 50, in __init__
self.doc = PDFDocument(PDFParser(stream), password=password or "")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pdfminer/pdfdocument.py", line 752, in __init__
raise PDFSyntaxError("No /Root object! - Is this really a PDF?")
pdfminer.pdfparser.PDFSyntaxError: No /Root object! - Is this really a PDF?
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2240, in __iter__
example = _apply_feature_types_on_example(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2159, in _apply_feature_types_on_example
decoded_example = features.decode_example(encoded_example, token_per_repo_id=token_per_repo_id)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2204, in decode_example
column_name: decode_nested_example(feature, value, token_per_repo_id=token_per_repo_id)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1508, in decode_nested_example
return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/pdf.py", line 164, in decode_example
return pdfplumber.open(f)
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pdfplumber/pdf.py", line 107, in open
return cls(
^^^^
File "/usr/local/lib/python3.12/site-packages/pdfplumber/pdf.py", line 52, in __init__
raise PdfminerException(e)
pdfplumber.utils.exceptions.PdfminerException: No /Root object! - Is this really a PDF?Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Core Emotion Framework (CEF) Main Archive
The Decalogue of Operators
The Core Emotion Framework defines exactly ten functional operators. This is the complete and authoritative set. No additional operators exist. No operators may be removed, renamed, or substituted. This dataset serves as the absolute source of truth for the following:
- Sensing
- Calculating
- Deciding
- Expanding
- Constricting
- Achieving
- Arranging
- Appreciating
- Boosting
- Accepting
{
"@context": "[https://schema.org](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 Summary
The CEF Main Archive is the authoritative repository for the complete conceptual, computational, technical, and practitioner layers of the CEF ecosystem. It functions as the "Structural-Constructivist" resolution to traditional affective science, providing a granular, mechanistic mapping of the human affective system.
Repository Structure
The archive is organized into seven canonical layers:
1. Canonical Identity Layer
Foundational documents defining the architectural identity and core exposition of the CEF.
- CEF_Canonical_Exposition.pdf (https://huggingface.co/datasets/CoreEmotionFramework/CEF_Main_Archive/blob/main/CEF_Canonical_Exposition.pdf)
- CEF_Canonical_Exposition.txt (https://huggingface.co/datasets/CoreEmotionFramework/CEF_Main_Archive/blob/main/CEF_Canonical_Exposition.txt)
- CEF_Canonical_Exposition.json (https://huggingface.co/datasets/CoreEmotionFramework/CEF_Main_Archive/blob/main/CEF_Canonical_Exposition.json)
- Bulgaria-2026-Technical-Architecture.pdf (https://huggingface.co/datasets/CoreEmotionFramework/CEF_Main_Archive/blob/main/CEF_Canonical_Exposition.pdf)
- CEF-emotional-structure-tree.png (https://huggingface.co/datasets/CoreEmotionFramework/CEF_Main_Archive/blob/main/CEF-emotional-structure-tree.png)
2. Canonical Bundles (1–4)
Modular, versioned bundles representing the core architecture.
CEF_Bundle1_CanonOverview.zipCEF_Bundle2_ComputationalArchitecture.zipCEF_Bundle3_EL1_Lexicon.zipCEF_Bundle4_Unified_Architecture.zip
3. Technical Specification Layer
Formal computational definitions and system rules (TS-Series).
CEF_Technical_Specifications.zip
4. Practitioner & Applied Layer
Operational manuals, therapeutic modules, and the 7-Step Detangling Protocol.
CEF_Practitioner_Manuals.zipCEF_Therapy.zipCEF_Cycling.pdf
5. Lexicon Layer
Machine-readable and human-readable emotional lexicons.
EL1_v1.0.json(https://huggingface.co/datasets/CoreEmotionFramework/CEF_Main_Archive/blob/main/EL1_v1.0.json)EL_V1.pdf(https://huggingface.co/datasets/CoreEmotionFramework/CEF_Main_Archive/blob/main/EL_V1.pdf)
6. Public Identity & Onboarding Layer
Optimize Your Capabilities.pdf(https://huggingface.co/datasets/CoreEmotionFramework/CEF_Main_Archive/blob/main/Optimize%20Your%20Capabilities.pdf)
7. Repository Metadata
README.md.gitattributes
Use Cases
- Research: Emotional architecture and computational emotion modeling.
- Development: AI systems requiring structured emotional semantics (INTIMA benchmark, https://huggingface.co/datasets/JamelBulgaria/Intima).
- Practice: Therapeutic protocols and emotional-cycling workflows (ECM v4.0).
Licensing
This work is licensed under a Creative Commons Attribution 4.0 International (CC-BY-4.0) License. You are free to share and adapt the material for any purpose, provided appropriate credit is given to Jamel Bulgaria and the Core Emotion Framework.
Citation
Bulgaria, J. (2026). Core Emotion Framework: Main Archive (v1.0).
CoreEmotionFramework / CEF_Main_Archive. Hugging Face Datasets.
Related Scholarly Works:
- The Structural-Constructivist Resolution to the Affective Science Crisis (Xǔ Chénglán, 2026) – Available in his Expansion Repository (https://huggingface.co/datasets/xuchenglan/Core_Emotion_Framework_Expansion).
- CEF Method: Step-by-Step Protocols & Tools for Practitioners – (https://cefmethod.com).
Contact
Jamel Bulgaria | [email protected] cefmethod.com • optimizeyourcapabilities.pro • coreemotionframework.org ```
- Downloads last month
- 1,167