File size: 1,537 Bytes
f565c1a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
---
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/ |