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README.md

@@ -1,3 +1,98 @@
 ---
+language:
+  - en
+tags:
+  - cybersecurity
+  - phishing
+  - malware
+  - spam-emails
+  - vulnerabilities
+  - intrusion-detection
+  - json
+  - synthetic-data
 license: cc-by-4.0
+size_categories:
+  - 100K-1M
+task_categories:
+  - text-classification
+  - feature-extraction
+  - text-retrieval
+  - other
+pretty_name: CyberSec Multi-Domain Dataset
+multilinguality: monolingual
+dataset_type: synthetic + open-source
+
 ---
+**Creator:** Zain Nadeem  
+**Role:** Python Django Developer | Software Engineer | Prompt Engineer | Ethical Hacker  
+**License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)  
+**Records:** ~220,000  
+**Format:** JSONL  
+**Language:** English
+
+---
+
+## 📌 Overview
+
+The **CyberSec Multi-Domain Dataset** is a structured collection of synthetic and open-source cybersecurity data across five important domains. It is designed for building, testing, and benchmarking machine learning models in cybersecurity, threat intelligence, and automation systems.
+
+This dataset helps researchers and developers simulate real-world cyber threat environments while ensuring data privacy.
+
+---
+
+## 📂 Included Domains
+
+| Domain               | Description                                  |
+|----------------------|----------------------------------------------|
+| **Phishing URLs**    | Malicious URLs used in phishing attacks      |
+| **Malware Hashes**   | SHA-256 hashes of known malware binaries     |
+| **CVE Vulnerabilities** | Common Vulnerabilities and Exposures (CVE) entries |
+| **Scam Emails**      | Spam and scam emails including headers/content |
+| **Intrusion Logs**   | Simulated intrusion alerts from NIDS systems |
+
+---
+
+## 📄 File Structure
+
+The dataset consists of five JSONL files:
+
+- `phishing.json`
+- `malware_hashes.json`
+- `vulnerabilities.json`
+- `scam_emails.json`
+- `intrusion_logs.json`
+
+Each file contains line-delimited JSON (`.jsonl`) where each line is a structured object related to its domain.
+
+---
+
+## 💡 Sample Entry
+
+### 🔐 Intrusion Log Example
+```json
+{
+  "src_ip": "192.168.10.5",
+  "dst_ip": "10.0.0.7",
+  "protocol": "TCP",
+  "alert": "ET SCAN Potential SSH Scan",
+  "timestamp": "2025-06-18 13:01:22",
+  "label": "intrusion",
+  "domain": "intrusion"
+}
+
+
+🧠 Use Cases
+✅ Train phishing or malware detection models
+✅ Develop spam and scam email classifiers
+✅ Test log analyzers and SIEM tools
+✅ Build security research prototypes
+✅ Train intrusion detection ML systems
+✅ Practice on synthetic but realistic cybersecurity data
+
+📜 License
+This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0).
+Attribution is required: Zain Nadeem
+
+🤝 Contributions
+If you'd like to contribute, improve, or collaborate, please reach out via Hugging Face or submit feedback through the dataset discussion tab.
+

cybersecurity_dataset.jsonl

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