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README.md

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 license: openmdw-1.1
+language:
+- en
+pretty_name: S
 ---
+
+# Code Syntax Dataset (S)
+
+A large-scale, high‑quality dataset for teaching large language models to identify and correct common syntax errors across **30+ programming languages**.  
+Contains **500,000+ unique examples** (≈110 MB) with English explanations – no artificial padding.
+
+---
+
+## 📊 Dataset Format
+
+The dataset is provided as a **single CSV file** with the following columns:
+
+| Column | Type | Description |
+|--------|------|-------------|
+| `wrong_code` | string | Code snippet containing a syntax error |
+| `correct_code` | string | The corrected version of the same snippet |
+| `explanation` | string | Concise, plain‑English explanation of the mistake and fix |
+| `language` | string | Programming language (e.g., `Python`, `JavaScript`, `Rust`) |
+
+---
+
+## 🧠 Languages Covered
+
+The dataset includes examples from **30+ languages** and technologies:
+
+| Category | Languages |
+|----------|-----------|
+| **General‑purpose** | Python, JavaScript, TypeScript, Java, C#, C++, Rust, Go, Ruby, PHP, Perl, Swift, Kotlin, R, MATLAB |
+| **Web** | HTML, CSS |
+| **Database** | SQL (MySQL/PostgreSQL‑style) |
+| **Shell / Scripting** | Bash, PowerShell |
+| **Markup / Config** | YAML, JSON, XML, Markdown |
+| **Backend / Node.js** | Express, fs, JWT, bcrypt, Mongoose |
+
+---
+
+## 💡 Example Entries
+
+Here are a few sample rows to illustrate the dataset content:
+
+| wrong_code | correct_code | explanation | language |
+|------------|--------------|-------------|----------|
+| `if x > 5\n    print('hello')` | `if x > 5:\n    print('hello')` | Colon missing after if. | Python |
+| `console.log('world'` | `console.log('world')` | Close parenthesis. | JavaScript |
+| `let mut x=5; let r1=&mut x; let r2=&mut x;` | `let mut x=5; { let r1=&mut x; } let r2=&mut x;` | Only one mutable borrow allowed. | Rust |
+| `SELECT name age FROM users;` | `SELECT name, age FROM users;` | Missing comma between columns. | SQL |
+
+Each example is **unique** – variable names, numbers, and string values are randomised, ensuring a wide variety of patterns for robust model training.
+
+---
+
+## 🎯 Use Cases
+
+- **Fine‑tuning LLMs** – train models to correct erroneous code or to generate correct code from buggy input.
+- **Building code‑review assistants** – create tools that automatically detect and suggest fixes for common syntax mistakes.
+- **Educational materials** – use the dataset as a large, searchable bank of common programming pitfalls.
+- **Benchmarking** – evaluate how well models understand language‑specific syntax rules.
+
+---
+
+## 📈 Dataset Statistics
+
+| Metric | Value |
+|--------|-------|
+| Total rows | ~500,000 – 550,000 |
+| File size | ≈110 MB (uncompressed CSV) |
+| Languages | 30+ |
+| Unique templates | 130+ error patterns, each parameterised with random values |
+
+---
+
+## 📄 License
+
+This dataset is released under the **Open Metadata License (OpenMDW v1.1)** – you are free to use, modify, and distribute it for any purpose, subject to the terms of that license.
+
+---
+
+## 🙋 Contributions & Feedback
+
+If you have suggestions for additional languages, error patterns, or improvements, feel free to reach out or open an issue. We welcome contributions to make this dataset even more comprehensive.
+
+---
+
+**Happy training!** 🚀