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---
dataset_info:
features:
- name: ecosystem
dtype: string
- name: vuln_id
dtype: string
- name: summary
dtype: string
- name: details
dtype: string
- name: aliases
dtype: string
- name: modified_date
dtype: string
- name: published_date
dtype: string
- name: severity
dtype: string
- name: score
dtype: float64
- name: cwe_id
dtype: string
- name: refs
dtype: string
- name: introduced
dtype: string
splits:
- name: train
num_bytes: 23841496
num_examples: 24160
download_size: 10220696
dataset_size: 23841496
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
---
license: mit
---
# A Ground-Truth Dataset of Real Security Patches
This dataset provides a **ground-truth collection of real-world security patches** gathered from public GitHub repositories, cross-referenced with CVE records, and enriched with natural language artifacts and metadata. It is intended to support research in areas such as **vulnerability detection**, **security patch understanding**, **commit classification**, and **software security best practices**.
## Citation
If you use this dataset, please cite:
```bibtex
@misc{reis2021groundtruthdatasetrealsecurity,
title={A ground-truth dataset of real security patches},
author={Sofia Reis and Rui Abreu},
year={2021},
eprint={2110.09635},
archivePrefix={arXiv},
primaryClass={cs.CR},
url={https://arxiv.org/abs/2110.09635},
}
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