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license: gpl-3.0

Juliet-train-split-test-on-BinRealVul

Hugging Face

Dataset Summary

Juliet-train-split-test-on-BinRealVul is a curated subset of the Juliet Test Suite (as organized in the GitHub repository), 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.

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), 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 format and follows the Croissant schema. Only a train split is included.

Usage

You can load the dataset using Hugging Face 🤗 datasets:

from datasets import load_dataset

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

Example

{
  "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 — the original source of these functions.

Juliet Test Suite GitHub repository - 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}
}