Sign inGet started
Dataset · Hugging Face

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 / organizationmoayadterro
License (as declared)mit
Downloads150 (as reported by Hugging Face)
Likes1
Created15 September 2026
Last updated at source24 September 2026
codesecurityvulnerability-detectioncweinstruction-tuningsftlorastatic-analysis
Embed this entry
<iframe src="https://silytics.si/embed/item/d31ea253-db02-4f4b-abf3-5f8a15a4ba99" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

150 now (-29 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.