Sign inGet started
Dataset · Hugging Face

yikun-li/TitanVul

Dataset Card for TitanVul TitanVul is a large-scale function-level vulnerability dataset constructed for training machine learning models for vulnerability detection. It consists of paired vulnerability-fix function samples aggregated from multiple public sources and validated using a multi-agent LLM framework. Dataset Details TitanVul is designed to provide high-quality training data that generalizes across vulnerability types and codebases. The dataset is built… See the full description on the dataset page: https://huggingface.co/datasets/yikun-li/TitanVul.

Author / organizationyikun-li
Downloads179 (as reported by Hugging Face)
Likes5
Created23 January 2026
Last updated at source23 January 2026
securityvulnerability-detectioncodeprogram-analysissoftware-engineeringllm
Embed this entry
<iframe src="https://silytics.si/embed/item/6d30bbc7-330e-4475-b989-92916bfc055e" 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

179 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 17 Oct 2026 Description: Dataset Card for TitanVul TitanVul is a large-scale function-level vulnerability dataset constructed for training machine learning models for vulnerability detection. It consists of paired vulnerability-fix function samples aggregated from → Dataset Card for TitanVul TitanVul is a large-scale function-level vulnerability dataset constructed for training machine learning models for vulnerability detection. It consists of paired vulnerability-fix function samples aggregated from

Changes detected by Silytics between refreshes of the source.

More from yikun-li

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 Information may be incomplete or out of date.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.