Datasets:

LeeChanRX
/

Vibe-Coding-Instruct

language:
  - en
license: apache-2.0
task_categories:
  - text-generation
tags:
  - custom
  - vibecodinginstruct
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:

{
  "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:"
}

Quick Start

from datasets import load_dataset

dataset = load_dataset(
    "LeeChanRX/Vibe-Coding-Instruct"
)

print(dataset["train"][0])

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The dataset may contain imperfect or outdated coding practices.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