sast
Datasets
All datasets matching “sast”Sastra_ID_CardCWE-Bench-Java
CWE-Bench-Java
This repository contains the dataset CWE-Bench-Java presented in the paper LLM-Assisted Static Analysis for Detecting Security Vulnerabilities. At a high level, this dataset contains 120 CVEs spanning 4 CWEs, namely path-traversal, OS-command injection, cross-site scripting, and code-injection. Each CVE includes the buggy and fixed source code of the project, along with the information of the fixed files and functions. We provide the seed information for each CVE in… See the full description on the dataset page: https://huggingface.co/datasets/iris-sast/CWE-Bench-Java.HIR-16KSAST-GUI-Traces
SAST-GUI-Traces
SAST-GUI-Traces is a collection of execution traces produced during
SAST-GUI experiments on GUI-agent and computer-use benchmarks.
The repository is organized by benchmark, benchmark version, and
model/run configuration.
Repository Structure
~~text
SAST-GUI-Traces/
├── ClawBench/
│ ├── v1/
│ │ ├── cb-v1-glm-xcc/
│ │ └── cb-v1-qwen-xcc/
│ │
│ └── v2/
│ ├── cb-v2-glm-xcc/
│ └── cb-v2-qwen-xcc/
│
└── OSWorld/
~~… See the full description on the dataset page: https://huggingface.co/datasets/abtikas/SAST-GUI-Traces.CoVo_Dataset
Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
The file test.jsonl is used to monitor the model performance as training proceeds.
Level
Source
1
GSM8K
2
MATH-500
3
AMC-23
4
AIME2024
5
AIME2025
llm-sast-v1
LLM-SAST v1
A high-quality, audited training dataset for fine-tuning small-to-mid-size language models to perform static application security testing (SAST) on infrastructure-as-code and application code — replacing rule-based scanners (Checkov, Trivy, Semgrep, KICS, Bearer, …) rather than auditing their output.
Task: given a single source file, the model emits a structured list of security findings (line ranges, category, severity, reasoning, remediation). No SAST-tool input. No… See the full description on the dataset page: https://huggingface.co/datasets/aioutfitters/llm-sast-v1.