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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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# SALLM: Security Assessment of Generated Code |
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<!-- Provide a quick summary of the dataset. --> |
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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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### Dataset Description |
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<!-- Provide a longer summary of what this dataset is. --> |
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- **Curated by:** Mohammed Latif Siddiq, Joanna C. S. Santos, Sajith Devareddy, Anna Muller |
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### Dataset Sources [optional] |
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<!-- Provide the basic links for the dataset. --> |
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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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## Dataset Structure |
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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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## Citation [optional] |
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**BibTeX:** |
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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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## Dataset Card Authors |
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Mohammed Latif Siddiq |
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## Dataset Card Contact |
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Website: https://lsiddiqsunny.github.io/ |
