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combined_LLVM

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CCompote commited on May 12, 2025

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 ## Dataset Summary
 **Combined_LLVM** is a unified dataset for binary vulnerability detection that merges two sources:
-- [CompRealVul_LLVM](https://huggingface.co/datasets/compAgent/CompRealVul_LLVM), based on real-world C vulnerabilities
-- [Juliet_LLVM](https://huggingface.co/datasets/compAgent/Juliet_LLVM), based on the Juliet Test Suite
 All functions are provided in **LLVM Intermediate Representation (IR)** format and labeled as **vulnerable or non-vulnerable**. This dataset is ideal for training and benchmarking machine learning models that aim to detect vulnerabilities in compiled representations of code, such as LLMs, GNNs, or binary-level classifiers.

 ## Dataset Summary
 **Combined_LLVM** is a unified dataset for binary vulnerability detection that merges two sources:
+- [CompRealVul_LLVM](https://huggingface.co/datasets/CCompote/CompRealVul_LLVM), based on real-world C vulnerabilities
+- [Juliet_LLVM](https://huggingface.co/datasets/CCompote/Juliet_LLVM), based on the Juliet Test Suite
 All functions are provided in **LLVM Intermediate Representation (IR)** format and labeled as **vulnerable or non-vulnerable**. This dataset is ideal for training and benchmarking machine learning models that aim to detect vulnerabilities in compiled representations of code, such as LLMs, GNNs, or binary-level classifiers.