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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - text-generation
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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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+
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+ # SALLM: Security Assessment of Generated Code
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+
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+ <!-- Provide a quick summary of the dataset. -->
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+
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+ This dataset contains 100 samples to evaluate the security of the LLM generated code.
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+ ## Dataset Details
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+
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+ ### Dataset Description
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+
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+ <!-- Provide a longer summary of what this dataset is. -->
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+
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+
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+
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+ - **Curated by:** Mohammed Latif Siddiq, Joanna C. S. Santos, Sajith Devareddy, Anna Muller
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+
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+
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+ ### Dataset Sources [optional]
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+
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+ <!-- Provide the basic links for the dataset. -->
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+
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+ - **Repository:** https://github.com/s2e-lab/SALLM
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+ - **Paper:** https://dl.acm.org/doi/abs/10.1145/3691621.3694934
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+
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+
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+
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+ ## Dataset Structure
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+
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+ - `id`: The unique identifier of the prompt
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+ - `technique`: The security technique that the prompt is based on
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+ - `source`: The source of the prompt
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+ - `prompt`: The prompt itself
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+ - `insecure_code`: The insecure code snippet
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+
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+ ## Citation [optional]
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+
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+
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+ **BibTeX:**
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+
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+ ```
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+ @inproceedings{siddiq2024sallm,
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+ author={Siddiq, Mohammed Latif and Santos, Joanna C. S. and Devareddy, Sajith and Muller, Anna},
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+ title={SALLM: Security Assessment of Generated Code},
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+ booktitle = {Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW '24)},
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+ numpages = {12},
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+ location = {Sacramento, CA, USA},
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+ doi = {10.1145/3691621.3694934}
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+ series = {ASEW '24}
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+ }
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+ ```
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+
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+
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+
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+
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+ ## Dataset Card Authors
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+
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+ Mohammed Latif Siddiq
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+
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+ ## Dataset Card Contact
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+
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+ Website: https://lsiddiqsunny.github.io/