license:openrail size_categories:100K<n<1M format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
license: openrail
dataset_info:
  features:
  - name: instruction
    dtype: string
  - name: input
    dtype: string
  - name: output
    dtype: string
  splits:
  - name: train
    num_bytes: 264800612
    num_examples: 238994
  download_size: 87762052
  dataset_size: 264800612
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Dataset Card for Dataset Name

The dataset combines information from MITRE ATT&CK (Adversarial Tactics, Techniques, and Common Knowledge) and 
CVE (Common Vulnerabilities and Exposures) to provide a comprehensive resource for training language models 
on cybersecurity concepts and vulnerabilities.

## Dataset Details

### Dataset Description

Each entry in the dataset typically includes:

- MITRE ATT&CK tactics and techniques
- CVE identifiers and descriptions
- Relationships between ATT&CK techniques and CVEs
- Additional metadata relevant to cybersecurity analysis



### Dataset Sources [optional]

**Mitre Att&ck:**
(https://github.com/mitre/cti/raw/master/enterprise-attack/enterprise-attack.json)[https://github.com/mitre/cti/raw/master/enterprise-attack/enterprise-attack.json]

**Mapping CVE-Attack:**
[https://center-for-threat-informed-defense.github.io/mappings-explorer/external/cve/]

**CVEs::**
[https://www.cve.org/downloads]

## Uses

This dataset is provided to facilitate llama finetuning with MITRE information.


#### Who are the source data producers?

All data come from MITRE public resources (see sources). 
Data may be outdated, please note that this is not a MITRE associated project.



## More Information [optional]

[More Information Needed]
