| --- |
| 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} |
| } |
