Datasets:
File size: 1,409 Bytes
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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}
} |