---
dataset_info:
  features:
  - name: cve
    dtype: string
  - name: commit_id
    dtype: string
  - name: label
    dtype: int64
  splits:
  - name: train
    num_bytes: 3439573928.0
    num_examples: 49507600
  - name: test
    num_bytes: 217775125.0
    num_examples: 3125297
  - name: validation
    num_bytes: 173343931.0
    num_examples: 2487284
  download_size: 1681204396
  dataset_size: 3830692984.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
  - split: validation
    path: data/validation-*
---

# CVEVC Commit CVE Mappings

<!-- Provide a quick summary of the dataset. -->

Mapping between commmits and cves.

Example usage:
```python
from datasets import load_dataset

cve_ds = load_dataset('fals3/cvevc_cve', split='test')
commit_ds = load_dataset('fals3/cvevc_commits', 'patches', split='test')
commit_cve_mapping = load_dataset('fals3/cvevc_cve_commit_mappings', split='test')

cve_df = cve_ds.to_polars()
commit_df = commit_ds.to_polars()
commit_cve_mapping_df = commit_cve_mapping.to_polars()

combined_df = commit_df.join(commit_cve_mapping_df, on='commit_id', how='inner')
combined_df = combined_df.join(cve_df, on='cve', how='inner')

```



## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->



- **Curated by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

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[More Information Needed]

### Out-of-Scope Use

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## Dataset Structure

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## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

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### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

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[More Information Needed]

#### Who are the source data producers?

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### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### Annotation process

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[More Information Needed]

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

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#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

[More Information Needed]

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

[More Information Needed]

### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

### Citation 

```bibtex
@misc{storhaug2026favia,
      title={Favia: Forensic Agent for Vulnerability-fix Identification and Analysis}, 
      author={André Storhaug and Jiamou Sun and Jingyue Li},
      year={2026},
      eprint={2602.12500},
      archivePrefix={arXiv},
      primaryClass={cs.SE},
      url={https://arxiv.org/abs/2602.12500}
}
```

## Glossary [optional]

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## More Information [optional]

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## Dataset Card Authors [optional]

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## Dataset Card Contact

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