Octavio-Santana/prompt-injection-attack-detection-multilingual

Prompt Injection Attack Detection Multilingual Dataset

📌 Overview

This dataset is a merged and cleaned combination of two publicly available datasets for prompt injection detection:

1. PromptInjectionDataset/Injection-Attack-Detection-Dataset
2. rikka-snow/prompt-injection-multilingual

The goal of this merged dataset is to provide a larger and more diverse benchmark for binary classification of prompt injection attacks.

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🎯 Task

Binary classification:

• 0 → Safe prompt
• 1 → Prompt injection attack

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📊 Dataset Composition

The dataset was created by:

• Merging the train split of Injection-Attack-Detection-Dataset
• Merging both train and test splits of prompt-injection-multilingual
• Removing duplicates
• Filtering very short samples
• Shuffling and performing a stratified train/test split

Final structure:

{
"text": string,
"label": ClassLabel (0 = safe, 1 = injection),
"source": string
}

The source field identifies the original dataset of each example.

⚠️ Disclaimer

This dataset is intended for research and development purposes in LLM security and prompt injection detection.
Users should verify licensing terms of the original datasets before commercial use.

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🚀 Intended Use

• Fine-tuning binary classifiers
• Evaluating LLM guardrails
• Training safety filters
• Research in adversarial prompt detection