Update README.md

README.md

@@ -1,23 +1,109 @@
 ---
-dataset_info:
-  features:
-  - name: instruction
-    dtype: string
-  - name: input
-    dtype: string
-  - name: output
-    dtype: string
-  - name: prompt
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 400633722
-    num_examples: 1100000
-  download_size: 28582726
-  dataset_size: 400633722
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+language:
+- en
+
+license: apache-2.0
+
+task_categories:
+- text-generation
+
+tags:
+- instruction-tuning
+- sft
+- code-generation
+- coding-assistant
+- llm
+- synthetic-data
+- python
+- javascript
+- java
+- cpp
+- rust
+- software-engineering
+- llama
+- qwen
+- mistral
+- gemma
+
+pretty_name: Vibe-Coding-Instruct
+
+size_categories:
+- 1M<n<10M
 ---
+
+# Vibe-Coding-Instruct
+
+## Dataset Summary
+
+Vibe-Coding-Instruct is a large-scale instruction-following dataset designed for supervised fine-tuning (SFT) of coding-focused large language models. The dataset contains over **1.1 million** instruction-response pairs covering programming, debugging, code explanation, software engineering, algorithms, scripting, web development, and general developer assistance.
+
+Each example consists of an instruction, optional input context, the expected output, and a preformatted prompt suitable for instruction-tuned models.
+
+## Dataset Structure
+
+Each record contains four fields:
+
+| Column | Description |
+|---------|-------------|
+| `instruction` | The user's coding task or request |
+| `input` | Optional additional context |
+| `output` | Expected assistant response |
+| `prompt` | Preformatted prompt combining instruction and input |
+
+## ✨ Highlights
+
+- 🚀 1.1M instruction-response pairs
+- 💻 Covers multiple programming languages
+- 🧠 Optimized for Supervised Fine-Tuning (SFT)
+- 🤖 Compatible with Llama, Qwen, Gemma, Mistral, DeepSeek
+- 📦 Ready-to-use Parquet format
+- ⚡ Includes pre-formatted prompts
+  
+Example:
+
+```json
+{
+  "instruction": "Write a Python function to reverse a string.",
+  "input": "",
+  "output": "def reverse_string(s):\n    return s[::-1]",
+  "prompt": "### Instruction:\nWrite a Python function to reverse a string.\n\n### Response:"
+}
+```
+
+## Intended Uses
+
+This dataset is suitable for:
+
+- Supervised Fine-Tuning (SFT)
+- Coding assistants
+- Code generation models
+- Debugging assistants
+- Instruction-following LLMs
+- Research on code-focused language models
+
+## Data Sources
+
+The dataset was curated and generated by **LeeChanRX**. It contains instruction-response pairs intended for training language models and may include both synthetic and curated examples.
+
+## Limitations
+
+- The dataset may contain imperfect or outdated coding practices.
+- Generated code should be reviewed before production use.
+- Responses have not been manually verified for every sample.
+
+## Citation
+
+If you use this dataset, please cite the repository:
+
+```
+@dataset{VibeCodingInstruct,
+  author = {LeeChanRX},
+  title = {Vibe-Coding-Instruct},
+  year = {2026},
+  publisher = {Hugging Face}
+}
+```
+
+## License
+
+Apache-2.0