README.md

---
license: gpl-3.0
---
# CompRealVul_Bin Dataset

[![Hugging Face](https://img.shields.io/badge/🤗%20View%20on-HuggingFace-blue)](https://huggingface.co/datasets/compAgent/CompRealVul_Bin)

## Dataset Summary

**CompRealVul_Bin** is a **binary-level dataset** derived from the [CompRealVul_C](https://huggingface.co/datasets/CCompote/CompRealVul_C) dataset, designed for training and evaluating machine learning models on **vulnerability detection in compiled binaries**. This dataset contains **cross-compiled `.exe` binaries** corresponding to each C function in the source dataset, packaged as a single `.zip` archive.

The dataset bridges the gap between source-level vulnerability datasets and practical binary-level learning pipelines.

## Key Features

- ✅ Matches samples from the original `CompRealVul` dataset  
- ✅ Labeled with **vulnerability information** (binary class label)  
- ✅ Suitable for binary-focused tasks such as **vulnerability detection**, **similarity learning**, and **binary classification**  
- ✅ Provided as a **ZIP archive** for efficient download and storage  

## Dataset Structure

- `CompRealVul_Bin.zip`: Contains all compiled `.exe` binary files  
- `CompRealVul_metadata.csv`: Metadata file with the following fields:

| Column          | Description                                                                 |
|-----------------|-----------------------------------------------------------------------------|
| `file_name`     | Name of the .exe file                                                       |
| `function_name` | The name of the target function in the .exe file                            |
| `label`         | Vulnerability label (`1.0` = vulnerable, `0.0` = non-vulnerable)            |

**Example:**
```csv
file_name,function_name,label
func_123.exe,func_123,1.0
```

## Usage

You can load the dataset directly using the `datasets` library from Hugging Face:

```python
import pandas as pd
import zipfile

# Load metadata
df = pd.read_csv("CompRealVul_metadata.csv")

# Access the ZIP archive
with zipfile.ZipFile("CompRealVul_Bin.zip", "r") as zip_ref:
    # Extract a specific binary
    binary_path = df.iloc[0]["binary_path"]
    zip_ref.extract(binary_path, "extracted_binaries/")

# Read binary data
with open(f"extracted_binaries/{binary_path}", "rb") as f:
    binary_data = f.read()
```

## License
This dataset is released under the GPL-3.0.

## Citation
```cite
@misc{comprealvul_bin,
  author       = {Compote},
  title        = {CompRealVul_Bin: A Binary Dataset for Vulnerability Detection},
  howpublished = {\url{https://huggingface.co/datasets/compAgent/CompRealVul_Bin}},
  year         = {2025}
}
```