Datasets › Vulnerability Java Dataset

Vulnerability Java Dataset

Introduced by Alexey Shestov et al. in Finetuning Large Language Models for Vulnerability Detection1 Mar 2024 archive 2025-07-28

The dataset consists of two versions: X₁ with P₃ and X₁ without P₃, where P₃ represents a set of random unchanged functions from vulnerability fixing commits. This dataset is designed for finetuning large language models to detect vulnerabilities in code. It can be used for training and evaluating models in automated vulnerability detection tasks.

Source: Finetuning Large Language Models for Vulnerability Detection

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Vulnerability Detection Vulnerability Java Dataset WizardCoder AUC 0.86 Finetuning Large Language Models for Vulnerability Detection rmusab/vul-llm-finetune 2 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Finetuning Large Language Models for Vulnerability Detection 1 2 30 Jan 2024 not harvested

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Vulnerability Java Dataset

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections