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deniks315/cybersecurity-threat-intelligence

๐Ÿ›ก๏ธ Cybersecurity threat intelligence dataset (FREE SAMPLE) ๐Ÿš€ Looking for the full dataset? https://deniks.gumroad.com/l/svgbfp ๐Ÿ“Œ Overview This repository contains a free preview (100 high-quality records) of a professionally curated instruction-tuning dataset. It features cleaned cybersecurity threat reports, vulnerability disclosures, and attack summaries formatted explicitly for training Large Language Models (LLMs) on InfoSec summarization and analysis.โ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/deniks315/cybersecurity-threat-intelligence.

sourceHugging Facecc-by-nc-4.0updated 4mo agoView on Hugging Face
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Dataset Card

๐Ÿ›ก๏ธ Cybersecurity threat intelligence dataset (FREE SAMPLE)

๐Ÿš€ Looking for the full dataset? https://deniks.gumroad.com/l/svgbfp


๐Ÿ“Œ Overview

This repository contains a free preview (100 high-quality records) of a professionally curated instruction-tuning dataset. It features cleaned cybersecurity threat reports, vulnerability disclosures, and attack summaries formatted explicitly for training Large Language Models (LLMs) on InfoSec summarization and analysis.

๐ŸŽฏ Use Cases

  • โ€”Instruction Fine-Tuning: Train open-source LLMs (Llama 3, Mistral, Phi-3) to turn raw security logs/reports into crisp headlines.
  • โ€”SOC Automation: Power virtual security assistants with contextual technical cyber threat data.

๐Ÿ“Š Data Preview & Format

The dataset is stored in standard JSONL format ({"prompt": "...", "completion": "..."}).

Hugging Face automatically provides a preview of the data structure in the Dataset Viewer tab above.

๐Ÿ› ๏ธ Quality Control & Cleaning

  • โ€”No Truncation: Unlike raw scraping dumps, every instruction loop is fully complete, sentences are logically closed with no trailing ellipses.
  • โ€”Sanitized Metadata: Extraneous web artifacts, unicode icons, and broken formatting have been completely stripped out.