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@@ -7,7 +7,8 @@ license: apache-2.0
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  ## Dataset Summary
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- **Juliet_LLVM** is a dataset of **compiled C functions from the Juliet Test Suite**, translated into **LLVM Intermediate Representation (IR)**. It is designed for training and evaluating machine learning models on the task of **binary vulnerability detection**. Each function is labeled as either vulnerable or non-vulnerable and is presented in an architecture-agnostic, semantically rich format.
 
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  This LLVM version allows models to be trained and tested on realistic, compiler-transformed code — reflecting how such models would be deployed in real-world binary analysis scenarios.
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  Each record contains:
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  - `dataset`: The origin source, always `"Juliet"` for this dataset
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- - `file`: Source file path from the Juliet suite
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  - `fun_name`: The name of the function
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- - `llvm_ir_function`: The LLVM IR code for the function
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  - `label`: `"1"` for vulnerable, `"0"` for non-vulnerable
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  - `split`: One of `"train"`, `"validation"`, or `"test"`
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  ## Related Work
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  [Juliet Test Suite](https://samate.nist.gov/SARD/test-suites) — the original source of these functions
 
 
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  ## Citation
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  ```
 
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  ## Dataset Summary
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+ **Juliet_LLVM** is a dataset of **compiled C functions from the Juliet Test Suite**(as organized in the [GitHub repository](https://github.com/arichardson/juliet-test-suite-c)
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+ ), translated into **LLVM Intermediate Representation (IR)** after pre-process phase. It is designed for training and evaluating machine learning models on the task of **binary vulnerability detection**. Each function is labeled as either vulnerable or non-vulnerable and is presented in an architecture-agnostic, semantically rich format.
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  This LLVM version allows models to be trained and tested on realistic, compiler-transformed code — reflecting how such models would be deployed in real-world binary analysis scenarios.
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  Each record contains:
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  - `dataset`: The origin source, always `"Juliet"` for this dataset
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+ - `file`: Source file from the Juliet suite
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  - `fun_name`: The name of the function
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+ - `llvm_ir_function`: The LLVM IR pre-processed code for the function
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  - `label`: `"1"` for vulnerable, `"0"` for non-vulnerable
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  - `split`: One of `"train"`, `"validation"`, or `"test"`
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  ## Related Work
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  [Juliet Test Suite](https://samate.nist.gov/SARD/test-suites) — the original source of these functions
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+ [Juliet Test Suite GitHub repository](https://github.com/arichardson/juliet-test-suite-c) - the GitHub repository we took the Juliet Test Suite datset from
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+
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  ## Citation
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  ```