File size: 2,222 Bytes
2c994a5 a8932b3 2c994a5 29cfaaf c6d5220 29cfaaf c6d5220 29cfaaf a8932b3 c43593f 31ae58d c43593f 31ae58d c43593f a8932b3 c43593f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | ---
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}
}
```
}
|