code-security
Code_Vulnerability_Security_DPO
Cybernative.ai Code Vulnerability and Security Dataset
Dataset Description
The Cybernative.ai Code Vulnerability and Security Dataset is a dataset of synthetic Data Programming by Demonstration (DPO) pairs, focusing on the intricate relationship between secure and insecure code across a variety of programming languages. This dataset is meticulously crafted to serve as a pivotal resource for researchers, cybersecurity professionals, and AI developers who are keen on… See the full description on the dataset page: https://huggingface.co/datasets/CyberNative/Code_Vulnerability_Security_DPO.code-security-vulnerability-dataset
Code Security Vulnerability Dataset
A curated multi-language dataset of 175,419 code samples labeled with 31 vulnerability classes (30 CWEs + safe) for training multi-label code vulnerability detection models. Labels are mapped to OWASP Top 10 2021 categories.
Dataset Details
Property
Value
Total Samples
175,419
Train / Val / Test
140,335 / 17,542 / 17,542
Languages
C, C++, Python, JavaScript, Java, PHP, Go
Labels
31 (multi-label)
Format
Parquet with… See the full description on the dataset page: https://huggingface.co/datasets/ayshajavd/code-security-vulnerability-dataset.Python-Security-Code-Datasetai-code-security-golden
AI Code Security — Golden Set
A small, hand-labeled benchmark of code snippets — vulnerable, safe, and
needs-audit — for evaluating how well a tool detects security problems in
AI-generated code ("vibe coding"). Every case is a minimal, self-contained
example with a known, by-construction ground-truth label.
Crucially, the set is built around safe twins: many vulnerable cases are
paired with a near-identical safe variant living at the same file path. This
makes the benchmark… See the full description on the dataset page: https://huggingface.co/datasets/axyr/ai-code-security-golden.CyberNative_Code_Vulnerability_Security_DPO-PreferenceShareGPTCode_Vulnerability_Security_DPO