README.md

---
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)](https://attack.mitre.org/versions/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.