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darkknight25/Incident_Response_Playbook_Dataset

published by @darkknight25

Alignment dataset tracked in the /datasets sub-catalog.

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Last 30 days
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196 KB
Created on HF
2025-05-21
Age
1 years ago

Description

πŸ›‘οΈ Incident Response Playbook Dataset

A comprehensive collection of 175 structured incident response playbooks designed to assist cybersecurity researchers, analysts, red teams, and automation engineers in building, simulating, and training robust defense strategies.

πŸ“ Dataset Overview

Format: JSONL (1 playbook per line)

Total Entries: 175

Use Cases:

Automating SOC workflows

Simulating incident response scenarios

Red team/blue team playbook development

Training… See the full description on the dataset page: https://huggingface.co/datasets/darkknight25/Incident_Response_Playbook_Dataset.

Tags

task_categories:text-classificationlanguage:enlicense:mitsize_categories:n<1Kregion:us

README current version from Hugging Face


license: mit
task_categories:

  • text-classification
    language:
  • en
    pretty_name: sunny thakur
    size_categories:
  • n<1K

πŸ›‘οΈ Incident Response Playbook Dataset

A comprehensive collection of 175 structured incident response playbooks designed to assist cybersecurity researchers, analysts, red teams, and automation engineers in building, simulating, and training robust defense strategies.
πŸ“ Dataset Overview

Format: JSONL (1 playbook per line)

Total Entries: 175

Use Cases:

    Automating SOC workflows

    Simulating incident response scenarios

    Red team/blue team playbook development

    Training ML/LLM-based security agents

πŸ“Œ Data Schema

Each entry contains:
{
"incident_id": "IR-2025-0001",
"incident_type": "Phishing Attack",
"target_asset": "Windows AD Server",
"detection_source": "SIEM Rule",
"initial_vector": "Email Attachment",
"tactics_techniques": [
{"tactic": "Initial Access", "technique": "Phishing"},
{"tactic": "Execution", "technique": "Command and Scripting Interpreter"},
{"tactic": "Impact", "technique": "Data Encrypted for Impact"}
],
"severity": "High",
"playbook_steps": [
{
"phase": "Identification",
"action": "Identification actions for Phishing Attack",
"tools": ["SIEM", "Logs Review"],
"response_time_min": 45
},
...
],
"final_status": "Resolved",
"response_duration_total_min": 215,
"tags": ["phishing", "data_encrypted_for_impact", "command_scripting"]
}

πŸ” Key Fields

Field Description
incident_type Type of cyber incident (e.g., DDoS, Malware, Insider Threat)
initial_vector Entry method used by the attacker
tactics_techniques Mapped MITRE ATT&CK tactics and techniques
playbook_steps Step-by-step IR actions by phase
tools Tools used in each phase
severity Severity classification (Low to Critical)
tags Normalized tags for filtering/search
πŸ“Š Sample Use Cases
πŸ” Security Automation Pipelines

🧠 Train LLMs for SOC Agent Simulations

πŸ“š Education for Incident Responders

πŸ“ˆ Analytics for MITRE Coverage Gaps

πŸ§ͺ Red/Blue Team Simulation Models
🀝 Contribution

Feel free to open issues or PRs for:

New attack types

Playbook enrichment

Mappings to MITRE updates

πŸ“„ License

This dataset is released under the MIT license.

README history 4 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

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Metadata

License
mit

Repository

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("darkknight25/Incident_Response_Playbook_Dataset")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="darkknight25/Incident_Response_Playbook_Dataset", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/darkknight25/Incident_Response_Playbook_Dataset
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