moayadterro/VulnTune
VulnTune: A Multi-Language Instruction-Tuning Dataset for LLM Vulnerability Detection VulnTune is a multi-language corpus of 179,704 source-code samples labelled VULNERABLE or NOT VULNERABLE, formatted for instruction-tuning (SFT / LoRA / PEFT) of large language models for source-code vulnerability detection. It merges and deduplicates public vulnerability datasets into one schema, with a CWE identifier, a short natural-language reason, and source provenance on every record. You… See the full description on the dataset page: https://huggingface.co/datasets/moayadterro/VulnTune.
| Author / organization | moayadterro |
|---|---|
| License (as declared) | mit |
| Downloads | 150 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 15 September 2026 |
| Last updated at source | 24 September 2026 |
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