---
license: gpl-3.0
---
# Juliet-train-split-test-on-BinRealVul

[![Hugging Face](https://img.shields.io/badge/🤗%20View%20on-HuggingFace-blue)](https://huggingface.co/datasets/CCompote/Juliet-train-split-test-on-BinRealVul)

## Dataset Summary

**Juliet-train-split-test-on-BinRealVul** is a curated subset of the Juliet Test Suite (as organized in the [GitHub repository](https://github.com/arichardson/juliet-test-suite-c)), compiled and lifted to **LLVM Intermediate Representation (IR)** after pre-process phase. This dataset is designed specifically for **training binary vulnerability detection models** in a setting that ensures a **fair comparison** with models trained on [CompRealVul_LLVM](https://huggingface.co/datasets/compAgent/CompRealVul_LLVM).

The split was constructed to **match the CompRealVul_LLVM train split** in both **function count** and **vulnerability distribution**, enabling direct performance benchmarking between models trained on **Juliet-derived functions** and those trained on **real-world vulnerable code**.

## Purpose

This dataset supports the evaluation framework introduced in our paper. It enables testing the **generalization ability** of models across different code distributions:

- ✅ Train on **Juliet-train-split-test-on-BinRealVul**  
- ✅ Test on **CompRealVul_LLVM** test split  
- 🔁 Compare results with models trained on CompRealVul_LLVM's train split  

## Key Features

- ✅ Based on the **Juliet Test Suite**(as organized in the [GitHub repository](https://github.com/arichardson/juliet-test-suite-c)), compiled to binary and lifted to **LLVM IR**  
- ✅ Matches **size and class balance** of CompRealVul_LLVM train split  
- ✅ Field `llvm_ir_function` contains pre-processed function in LLVM-IR form  
- ✅ Includes binary **vulnerability labels** (`label`)  
- ✅ Suitable for **cross-dataset generalization experiments**  

## Dataset Structure

Each record includes:

- `dataset`: `"Juliet"`  
- `file`: Original source file from Juliet suite  
- `fun_name`: Function name in C source  
- `llvm_ir_function`: LLVM IR code for the function  
- `label`: `"1"` for vulnerable, `"0"` for non-vulnerable  
- `split`: `"train"` (single split in this dataset)  

## Format

The dataset is stored in [Apache Parquet](https://parquet.apache.org/) format and follows the [Croissant schema](https://mlcommons.org/croissant/). Only a `train` split is included.

## Usage

You can load the dataset using Hugging Face 🤗 `datasets`:

```python
from datasets import load_dataset

ds = load_dataset("compAgent/Juliet-train-split-test-on-BinRealVul", split="train")
print(ds[0])
```

## Example
```json
{
  "dataset": "Juliet",
  "file": "CWE121/s01.c",
  "fun_name": "CWE121_bad",
  "llvm_ir_function": "define dso_local void @CWE121_bad() { ... }",
  "label": "1",
  "split": "train"
}
```

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

## Related Work
[Juliet Test Suite](https://samate.nist.gov/SARD/test-suites) — the original source of these functions.

[Juliet Test Suite GitHub repository](https://github.com/arichardson/juliet-test-suite-c) - the GitHub repository we took the Juliet Test Suite dataset from.


## Citation
```
@misc{juliet_llvm,
  author       = {Compote},
  title        = {Juliet_LLVM: A Dataset of Vulnerable and Non-Vulnerable Functions from the Juliet Suite in LLVM IR},
  howpublished = {\url{https://huggingface.co/datasets/compAgent/Juliet_LLVM}},
  year         = {2025}
}
```