AuraGym provides training datasets for security agentic coding tasks from open-source repositories. It was built via AuraForge, a synthetic data pipeline to build agentic training environments at scale. The synthetic variant contains 679 feature implementation tasks from 344 real-world repositories across Python, JavaScript, and TypeScript, covering 177 CWE categories. - AuraGymh: 431 tasks from 199 repositories, with human-written security tests. The variants overlap but neither is a subset of the other: 368 task IDs are shared, 63 occur only in the human variant, and 311 occur only in the synthetic variant. Together they contain 742 distinct task IDs across 1,110 records. All four…
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Danqing Wang
dqwang122
Models in Library0
Datasets in Library1
Models on Hugging Face11
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