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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 [optional]
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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 generate from the prompt.
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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