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language:
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- en
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---
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# Dataset Card for SecurityEval
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This dataset is from the paper titled **SecurityEval Dataset: Mining Vulnerability Examples to Evaluate Machine Learning-Based Code Generation Techniques**.
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The project is accepted for The first edition of the International Workshop on Mining Software Repositories Applications for Privacy and Security (MSR4P&S '22).
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The paper describes the dataset for evaluating machine learning-based code generation output and application of the dataset to the code generation tools.
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- **Curated by:** Mohammed Latif Siddiq & Joanna C. S. Santos
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- **Language(s):** Python
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### Dataset Sources
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- **Repository:** https://github.com/s2e-lab/SecurityEval
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- dataset.jsonl: dataset file in jsonl format. Every line contains a JSON object with the following fields:
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- `ID`: unique identifier of the sample.
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- `Prompt`: Prompt for the code generation model.
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- `Insecure_code`: code of the vulnerability example that may
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## Citation
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---
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language:
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- en
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size_categories:
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- n<1K
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---
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# Dataset Card for SecurityEval
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This dataset is from the paper titled **SecurityEval Dataset: Mining Vulnerability Examples to Evaluate Machine Learning-Based Code Generation Techniques**.
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The project is accepted for The first edition of the International Workshop on Mining Software Repositories Applications for Privacy and Security (MSR4P&S '22).
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The paper describes the dataset for evaluating machine learning-based code generation output and the application of the dataset to the code generation tools.
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- **Curated by:** Mohammed Latif Siddiq & Joanna C. S. Santos
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- **Language(s):** Python
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### Dataset Sources
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- **Repository:** https://github.com/s2e-lab/SecurityEval
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- dataset.jsonl: dataset file in jsonl format. Every line contains a JSON object with the following fields:
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- `ID`: unique identifier of the sample.
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- `Prompt`: Prompt for the code generation model.
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- `Insecure_code`: code of the vulnerability example that may be generated from the prompt.
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## Citation
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