README.md

metadata

dataset_info:
  features:
    - name: source
      dtype: string
    - name: language
      dtype: string
    - name: content
      dtype: string
    - name: tokens
      dtype: int64
    - name: metadata
      struct:
        - name: type
          dtype: string
        - name: id
          dtype: int64
  splits:
    - name: train
      num_bytes: 22370299
      num_examples: 20483
  download_size: 3415442
  dataset_size: 22370299
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: mit
language:
  - en
tags:
  - code
size_categories:
  - 1M<n<10M

🤖 MUD-Code3 – 2M Real‑World Code Tokens! This dataset contains 20483 code snippets (mixture of real and high-quality synthetic) totaling 2,000,018 tokens.

Languages: Python (and some others) Sources: Real open‑source code (when available) plus enhanced synthetic Use cases: Fine‑tuning code models, program synthesis, code search 📖 How to Use from datasets import load_dataset dataset = load_dataset("CompiwerAI/MUD-Code3") print(dataset["train"][0])

📊 Stats Metric Value Total Documents 20483 Total Tokens 2,000,018 File Size (raw) ~23 MB 📜 License & Citation MIT License. If you use this dataset, please cite:

@misc{mud-code3-2026, author = {CompiwerAI}, title = {MUD‑Code3: A 2M‑token Real‑Code Dataset}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/CompiwerAI/MUD-Code3} }