# SecureCode Dataset Family Update: 2,185 Security Examples, Framework-Specific Patterns, Clean Parquet Loading
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# SecureCode Dataset Family Update: 2,185 Security Examples, Framework-Specific Patterns, Clean Parquet Loading
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Hey  y'all,
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Hey  y'all,
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Quick update on the SecureCode dataset family. We've restructured things and fixed several issues:
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Quick update on the SecureCode dataset family. We've restructured things and fixed several issues:
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**What changed:**
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**What changed:**
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- The datasets are now properly split into three repos: [unified](
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- The datasets are now properly split into three repos: [unified](
https://huggingface.co/datasets/scthornton/securecode
scthornton/securecode
dataset
resource
https://huggingface.co/datasets/scthornton/securecode
) (2,185), [web](
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) (2,185), [web](
https://huggingface.co/datasets/scthornton/securecode-web
scthornton/securecode-web
dataset
resource
https://huggingface.co/datasets/scthornton/securecode-web
) (1,378), [AI/ML](
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) (1,378), [AI/ML](
https://huggingface.co/datasets/scthornton/securecode-aiml
scthornton/securecode-aiml
dataset
resource
https://huggingface.co/datasets/scthornton/securecode-aiml
) (750)
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) (750)
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- All repos now use Parquet format -- 
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- All repos now use Parquet format -- 
load_dataset()
`load_dataset()`
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 just works, no deprecated loading scripts
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 just works, no deprecated loading scripts
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- SecureCode Web now includes 219 framework-specific examples (Express, Django, Spring Boot, Flask, Rails, Laravel, ASP.NET Core, FastAPI, NestJS)
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- SecureCode Web now includes 219 framework-specific examples (Express, Django, Spring Boot, Flask, Rails, Laravel, ASP.NET Core, FastAPI, NestJS)
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- Data cards have been corrected and split sizes fixed
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- Data cards have been corrected and split sizes fixed
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**Why it matters:**
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**Why it matters:**
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With AI-generated code accounting for 60%+ of some codebases (Checkmarx 2025), security training data is more important than ever. Every example in SecureCode is grounded in a real CVE with 4-turn conversations that mirror actual developer-AI workflows.
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With AI-generated code accounting for 60%+ of some codebases (Checkmarx 2025), security training data is more important than ever. Every example in SecureCode is grounded in a real CVE with 4-turn conversations that mirror actual developer-AI workflows.
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If you're working on code generation models, I'd love to hear how you're approaching the security angle. Are there vulnerability categories or frameworks you'd like to see covered?
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If you're working on code generation models, I'd love to hear how you're approaching the security angle. Are there vulnerability categories or frameworks you'd like to see covered?
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Paper: [arxiv.org/abs/2512.18542](
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Paper: [arxiv.org/abs/2512.18542](
https://arxiv.org/abs/2512.18542
https://arxiv.org/abs/2512.18542
link
)
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)
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# SecureCode Dataset Family Update: 2,185 Security Examples, Framework-Specific Patterns, Clean Parquet Loading

Hey  y'all,

Quick update on the SecureCode dataset family. We've restructured things and fixed several issues:

**What changed:**

- The datasets are now properly split into three repos: [unified](https://huggingface.co/datasets/scthornton/securecode) (2,185), [web](https://huggingface.co/datasets/scthornton/securecode-web) (1,378), [AI/ML](https://huggingface.co/datasets/scthornton/securecode-aiml) (750)
- All repos now use Parquet format -- `load_dataset()` just works, no deprecated loading scripts
- SecureCode Web now includes 219 framework-specific examples (Express, Django, Spring Boot, Flask, Rails, Laravel, ASP.NET Core, FastAPI, NestJS)
- Data cards have been corrected and split sizes fixed

**Why it matters:**

With AI-generated code accounting for 60%+ of some codebases (Checkmarx 2025), security training data is more important than ever. Every example in SecureCode is grounded in a real CVE with 4-turn conversations that mirror actual developer-AI workflows.

If you're working on code generation models, I'd love to hear how you're approaching the security angle. Are there vulnerability categories or frameworks you'd like to see covered?

Paper: [arxiv.org/abs/2512.18542](https://arxiv.org/abs/2512.18542)

🚀
perfecXion YatharthS
👀
perfecXion