---
license: apache-2.0
task_categories:
- text-generation
language:
- en
size_categories:
- n<1K
---

# SALLM: Security Assessment of Generated Code

<!-- Provide a quick summary of the dataset. -->

This dataset contains 100 samples to evaluate the security of the LLM generated code.
## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->



- **Curated by:** Mohammed Latif Siddiq, Joanna C. S. Santos, Sajith Devareddy, Anna Muller


### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Repository:** https://github.com/s2e-lab/SALLM
- **Paper:** https://dl.acm.org/doi/abs/10.1145/3691621.3694934



## Dataset Structure

- `id`: The unique identifier of the prompt
- `technique`: The security technique that the prompt is based on
- `source`: The source of the prompt
- `prompt`: The prompt itself
- `insecure_code`: The insecure code snippet

## Citation [optional]


**BibTeX:**

```
@inproceedings{siddiq2024sallm,
  author={Siddiq, Mohammed Latif and Santos, Joanna C. S. and Devareddy, Sajith and Muller, Anna},
  title={SALLM: Security Assessment of Generated Code}, 
  booktitle = {Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW '24)},
  numpages = {12},
  location = {Sacramento, CA, USA},
  doi = {10.1145/3691621.3694934}
  series = {ASEW '24}
}
```




## Dataset Card Authors

Mohammed Latif Siddiq

## Dataset Card Contact

Website: https://lsiddiqsunny.github.io/