| --- |
| license: cc-by-4.0 |
| language: |
| - ar |
| - en |
| tags: |
| - llm-security |
| - prompt-injection |
| - jailbreak-detection |
| - arabic-nlp |
| - triple-anchor |
| --- |
| |
| # SemGuard: Arabic Security Dataset (v2) |
|
|
| This dataset is released as part of the research paper: **"SemGuard: A Triple-Anchor Semantic Security Gateway for Multilingual Prompt Attack Detection in Large Language Models"**. |
|
|
| ## Dataset Overview |
| The dataset provides a comprehensive benchmark for evaluating LLM prompt attacks in Arabic, Arabizi, and English across multiple threat categories. |
|
|
| ### Files Included: |
| 1. `semguard_arabic_security_v2_accepted.csv`: Clean, validated dataset (807 examples) ready for direct model training and evaluation. |
| 2. `semguard_arabic_security_v2_accepted_detailed.csv`: Detailed version of the validated dataset including individual LLM judges' outputs and agreement scores. |
| 3. `semguard_arabic_security_v2_rejected_disagreement.csv`: The Disagreement Corpus (527 examples) containing generated instances rejected by the LLM-as-a-Judge pipeline. |
| 4. `semguard_arabic_security_v2_raw_generated.csv`: The complete raw set of generated instances (1,334 examples) prior to validation. |
|
|
| ## Source Code |
| The source code will be made publicly available soon once the repository setup is fully archived. Stay tuned! |
|
|
| ## Citation |
| If you use this dataset in your research, please cite our paper: |
|
|
| ```bibtex |
| @dataset{abughallous2026semguard, |
| author = {Abdullah M. Abughallous}, |
| title = {SemGuard: Arabic Security Dataset for Multilingual Prompt Attack Detection }, |
| year = {2026}, |
| publisher = {Hugging Face}, |
| url = {https://huggingface.co/datasets/AG-31625874/SemGuard-Dataset}, |
| note = {Multilingual Arabic, Arabizi, and English prompt attack detection benchmark} |
| |
| ``` |
| # Paper Citation |
| ```bibtex |
| @inproceedings{abughallous2026semguard_paper, |
| author = {Abughallous, Abdullah M. and Abufakher, Somia}, |
| title = {SemGuard: A Triple-Anchor Semantic Security Gateway for Multilingual Prompt Attack Detection in Large Language Models}, |
| booktitle = {IEEE Jordan International Conference on Electrical Engineering and Information Technologies (AEECT)}, |
| year = {2026}, |
| publisher = {IEEE} |
| } |
| ``` |
| } |
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