Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,146 @@
+---
+license: mit
+task_categories:
+- text-classification
+- token-classification
+language:
+- en
+tags:
+- security
+- rl
+- kubernetes
+- terraform
+- config-verification
+- verifiers
+- metadata-only
+pretty_name: "Security Verifiers E2 - Config Verification (Metadata)"
+size_categories:
+- n<1K
+---
+
+# 🔒 Security Verifiers E2: Security Configuration Verification (Public Metadata)
+
+> **⚠️ This is a PUBLIC metadata-only repository.** The full datasets are hosted privately to prevent training contamination. See below for access instructions.
+
+## Overview
+
+E2 is a tool-grounded configuration auditing environment for Kubernetes and Terraform. This repository contains **only the sampling metadata** that describes how the private datasets were constructed.
+
+### Why Private Datasets?
+
+**Training contamination** is a critical concern for benchmark integrity. If datasets leak into public training corpora:
+- Models can memorize answers instead of learning to reason
+- Evaluation metrics become unreliable
+- Research reproducibility suffers
+- True capabilities become obscured
+
+By keeping evaluation datasets private with gated access, we:
+- ✅ Preserve benchmark validity over time
+- ✅ Enable fair model comparisons
+- ✅ Maintain research integrity
+- ✅ Allow controlled access for legitimate research
+
+### Dataset Composition
+
+The private E2 datasets include:
+
+#### Kubernetes Configurations
+- **Source**: Real-world K8s manifests from popular open-source projects
+- **Scans**: KubeLinter, Semgrep, OPA/Rego policies
+- **Violations**: Security misconfigurations, best practice violations
+- **Severity**: Categorized (high/medium/low) based on tool outputs
+
+#### Terraform Configurations
+- **Source**: Infrastructure-as-code from real projects
+- **Scans**: Semgrep, OPA/Rego policies, custom rules
+- **Violations**: Security risks, compliance issues
+- **Severity**: Weighted scoring for reward computation
+
+### What's in This Repository?
+
+This public repository contains:
+
+1. **Sampling Metadata** (`sampling-*.json`):
+   - Source repository information
+   - File selection criteria
+   - Scan configurations
+   - Label distributions
+   - Reproducibility parameters
+
+2. **Tools Versions** (`tools-versions.json`):
+   - KubeLinter version (pinned)
+   - Semgrep version (pinned)
+   - OPA version (pinned)
+   - Ensures reproducible scanning
+
+3. **This README**: Instructions for requesting access
+
+### Reward Components
+
+E2 uses tool-grounded reward functions:
+- **Detection Precision/Recall/F1**: Against ground-truth violations
+- **Severity Weighting**: Higher reward for catching critical issues
+- **Patch Delta**: Reward for proposed fixes that eliminate violations
+- **Re-scan Verification**: Patches must pass tool validation
+
+**Multi-turn performance**: Models achieve ~0.93 reward with tool calling vs ~0.62 without tools.
+
+### Requesting Access
+
+🔑 **To access the full private datasets:**
+
+1. **Open an access request issue**: [Security Verifiers Issues](https://github.com/intertwine/security-verifiers/issues)
+2. **Use the title**: "Dataset Access Request: E2"
+3. **Include**:
+   - Your name and affiliation
+   - Research purpose / use case
+   - HuggingFace username
+   - Commitment to not redistribute or publish the raw data
+
+**Approval criteria:**
+- Legitimate research or educational use
+- Understanding of contamination concerns
+- Agreement to usage terms
+
+We typically respond within 2-3 business days.
+
+### Citation
+
+If you use this environment or metadata in your research:
+
+```bibtex
+@misc{security-verifiers-2025,
+  title={Open Security Verifiers: Composable RL Environments for AI Safety},
+  author={intertwine},
+  year={2025},
+  url={https://github.com/intertwine/security-verifiers},
+  note={E2: Security Configuration Verification}
+}
+```
+
+### Related Resources
+
+- **GitHub Repository**: [intertwine/security-verifiers](https://github.com/intertwine/security-verifiers)
+- **Documentation**: See `EXECUTIVE_SUMMARY.md` and `PRD.md` in the repo
+- **Framework**: Built on [Prime Intellect Verifiers](https://github.com/PrimeIntellect-ai/verifiers)
+- **Other Environments**: E1 (Network Logs), E3-E6 (in development)
+
+### Tools
+
+The following security tools are used for ground-truth generation:
+- **KubeLinter**: Kubernetes YAML linting and security checks
+- **Semgrep**: Pattern-based static analysis for K8s and Terraform
+- **OPA**: Policy-as-code validation with Rego
+
+### License
+
+MIT License - See repository for full terms.
+
+### Contact
+
+- **Issues**: [GitHub Issues](https://github.com/intertwine/security-verifiers/issues)
+- **Discussions**: [GitHub Discussions](https://github.com/intertwine/security-verifiers/discussions)
+
+---
+
+**Built with ❤️ for the AI safety research community**