README.md

metadata

license: mit
task_categories:
  - question-answering
language:
  - en
size_categories:
  - 10K<n<100K

This dataset is a specialized resource designed for training and evaluating question-answering models in the context of Cyber Threat Intelligence (CTI), specifically targeting the identification of tactics and techniques based on natural language descriptions of cyber-attacks. The dataset is derived from the MITRE ATT&CK framework (version 15) and contains annotated pairs of sentences and their corresponding tactics and techniques. The primary goal is to assist automated systems in understanding and categorizing cyber-attack behaviors by mapping real-world attack descriptions to the appropriate tactics and techniques.

Dataset Overview:

• Source: MITRE ATT&CK framework (v15) for representing adversary behavior, tactics, and techniques.
• Format: Each entry in the dataset consists of a natural language sentence that describes a cyber attack or tactic, along with annotations identifying the relevant tactic(s) and technique(s) from the ATT&CK matrix.