Update README.md

README.md

@@ -1,3 +1,117 @@
 ---
 license: mit
+task_categories:
+  - text-generation
+  - text2text-generation
+language:
+  - code
+tags:
+  - code
+  - programming-languages
+  - python
+  - javascript
+  - nodejs
+  - java
+  - c
+  - cpp
+  - rust
+pretty_name: Multi-Language Programming Code Dataset
+size_categories:
+  - n<1K
 ---
+
+# Multi-Language Programming Code Dataset
+
+A small, hand-curated dataset of **original, non-scraped** code examples across 7
+programming environments: **Python, JavaScript, Node.js, Java, C, C++, and Rust**.
+
+Every task/code pair covers the same 15 core programming concepts in each language,
+making the dataset useful for cross-language comparison, few-shot prompting,
+code-explanation fine-tuning, or as a seed set to expand with your own generation
+pipeline.
+
+> **Note:** Node.js is a JavaScript *runtime*, not a separate language. It's included
+> as its own split here because it exposes different APIs (filesystem, `Buffer`,
+> `process`, `http`, CommonJS modules) than browser-context JavaScript, which is
+> often exactly what people mean when they say "Node.js code."
+
+## Dataset Structure
+
+| Column | Description |
+|---|---|
+| `id` | Unique row identifier |
+| `language` | One of: Python, JavaScript, Node.js, Java, C, C++, Rust |
+| `category` | Concept covered (see list below) |
+| `difficulty` | `beginner`, `intermediate`, or `advanced` |
+| `task_description` | Natural-language description of the coding task |
+| `code` | The original code snippet solving the task |
+| `explanation` | A short note on the key language feature/idiom used |
+
+**105 rows** = 7 languages × 15 categories.
+
+## Categories (15 per language)
+
+Hello World · Variables and Data Types · Control Flow · Loops · Functions ·
+Arrays and Lists · Dictionaries and Maps · Classes and OOP · Error Handling ·
+File I/O · String Manipulation · Recursion · Sorting Algorithm ·
+Async and Concurrency · Data Structures
+
+## Files
+
+- `code_dataset.jsonl` — one JSON object per line (recommended for HF `datasets.load_dataset("json", ...)`)
+- `code_dataset.csv` — same data, spreadsheet-friendly
+
+## Provenance & License
+
+All code snippets were **written from scratch** for this dataset (not scraped from
+GitHub or any other source), so there are no third-party license conflicts.
+Released under **MIT** — free to use, modify, and redistribute, including for
+model training.
+
+## Known Limitations
+
+- Small (105 rows) — meant as a clean seed set / benchmark slice, not a
+  large-scale pretraining corpus. For that, pair it with something like
+  [The Stack](https://huggingface.co/datasets/bigcode/the-stack) or
+  [CodeSearchNet](https://huggingface.co/datasets/code_search_net).
+- Only 7 languages/environments — easy to extend by adding more `add(...)` calls
+  to the included generator script (`generate_dataset.py`) if you want to grow
+  coverage yourself.
+- Snippets favor clarity/idiom over production hardening (e.g., minimal input
+  validation) — they're meant to teach the *pattern*, not be copy-paste production code.
+
+## Example Row
+
+```json
+{
+  "id": 1,
+  "language": "Python",
+  "category": "Hello World",
+  "difficulty": "beginner",
+  "task_description": "Print 'Hello, World!' to the console.",
+  "code": "print(\"Hello, World!\")",
+  "explanation": "Python's print() function writes text to standard output."
+}
+```
+
+## Loading
+
+**Hugging Face `datasets`:**
+```python
+from datasets import load_dataset
+ds = load_dataset("json", data_files="code_dataset.jsonl")
+```
+
+**Pandas / Kaggle:**
+```python
+import pandas as pd
+df = pd.read_csv("code_dataset.csv")
+```
+
+## Suggested Uses
+
+- Fine-tuning a code-explanation or code-generation model
+- Few-shot prompting examples for a coding assistant
+- Cross-language idiom comparison (e.g., "how does error handling differ
+  between Python and Rust?")
+- A regression-test seed set for code-generation model evals