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README.md

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+---
+language:
+  - en
+license: mit
+tags:
+  - security
+  - api-security
+  - vulnerability-detection
+  - code
+  - owasp
+task_categories:
+  - text-classification
+  - text-generation
+size_categories:
+  - 1K<n<10K
+---
+
+# API Vulnerability Dataset (10K)
+
+A dataset of **10,000 API-specific vulnerability samples** used to fine-tune [harsharajkumar273/api-security-qlora](https://huggingface.co/harsharajkumar273/api-security-qlora) — a QLoRA adapter on CodeLlama-7b for automated API security analysis.
+
+## Dataset Summary
+
+Each sample contains a vulnerable or clean API endpoint code snippet paired with a structured security analysis covering vulnerability type, severity, CWE ID, and a remediated version.
+
+## Language & Framework Distribution
+
+| Language | Share | Frameworks |
+|---|---|---|
+| Python | 46% | Flask, FastAPI, Django |
+| JavaScript | 25% | Express.js, NestJS |
+| Java | 15% | Spring Boot |
+| PHP / Go / Ruby / C# | 14% | Laravel, Gin, Rails, ASP.NET |
+
+## Vulnerability Distribution
+
+| Vulnerability | Samples | CWE |
+|---|---|---|
+| SQL Injection | 2,425 | CWE-89 |
+| Mass Assignment | 1,307 | CWE-915 |
+| Path Traversal | 943 | CWE-22 |
+| IDOR | 860 | CWE-639 |
+| Broken Authorization | 792 | CWE-285 |
+| Command Injection | 600 | CWE-78 |
+
+## Severity Breakdown
+
+- **Critical (43%)**: RCE, SQLi, unauthorized admin access
+- **High (41%)**: Data leaks, IDOR, authorization bypass
+- **Medium / Clean (16%)**: XSS, input validation warnings, baseline clean samples
+
+## Usage
+
+This dataset was used to fine-tune the [api-security-qlora](https://huggingface.co/harsharajkumar273/api-security-qlora) adapter and is also consumed directly by the [API Security Scanner](https://github.com/harsharajkumar/api-security) rules engine.
+
+## Credits
+
+**CS6380 — API Security Project**
+Authors: Siddhanth Nilesh Jagtap · Tanuj Kenchannavar · Harsha Raj Kumar