sifa-classification-agentic-rag
Collection
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YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
SFIA-9-Scraped Dataset
This repository contains the SFIA-9-Scraped dataset, a JSON collection of the Skills Framework for the Information Age (SFIA) version 9 categories and levels, scraped for non-commercial research use.
🚀 Dataset Overview
- Name: SFIA-9-Scraped
- Hugging Face: Programmer-RD-AI/sfia-9-scraped
- DOI: 10.57967/hf/5746
- Author: Ranuga Disansa Gamage
- Revision: 89feeb8
- Publisher: Hugging Face
- Year: 2025
Use this dataset to build RAG systems, taxonomy-driven search, skill-gap analytics, and other AI/ML applications focused on professional skill frameworks.
📂 Data Structure
The dataset is provided as a single JSON file (sfia_9_data.json) with the following top-level structure:
{
"url": [ "...", "...", ... ],
"raw_content": [ "...", "...", ... ],
"images": [ "...", "...", ... ]
}
- url:
array[string]— list of page URLs for each scraped entry. - raw_content:
array[string]— the extracted textual content from each URL. - images:
array[string]— list of image URLs associated with each entry.
⚙️ Usage
Install the 🤗 Datasets library:
pip install datasets
Load the dataset:
from datasets import load_dataset
ds = load_dataset("Programmer-RD-AI/sfia-9-scraped")
print(ds["train"][0])
For RAG applications, integrate this dataset as your taxonomy source before chunking and embedding.
📜 Citation
If you use this dataset in your research, please cite:
@misc{ranuga_disansa_gamage_2025,
author = {Ranuga Disansa Gamage},
title = {sfia-9-scraped (Revision 89feeb8)},
year = {2025},
url = {https://huggingface.co/datasets/Programmer-RD-AI/sfia-9-scraped},
doi = {10.57967/hf/5746},
publisher = {Hugging Face}
}
📄 License
This dataset is released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. Use for non-commercial research only.
🤝 Acknowledgements
- SFIA Foundation: Original SFIA-9 framework content.
✉️ Contact
For questions or contributions, open an issue or pull request on the Hugging Face dataset page.
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