---
license: cc-by-sa-4.0
task_categories:
- text-generation
language:
- en
---

# Marin Markdownified Wikipedia

Markdownified Wikipedia is a large-scale, pre-processed version of the English Wikipedia Enterprise HTML dump consisting of **8.59B tokens**. The corpus has been converted to clean, section-aware Markdown for language-model training.

|  | Value |
|---------------------|-------|
| Tokens | 8 587 224 558 |
| Primary source | https://dumps.wikimedia.org/other/enterprise_html/runs/20241201/enwiki-NS0-20241201-ENTERPRISE-HTML.json.tar.gz |
| File format | JSONL |
| License | CC-BY-SA 4.0 (mirrors upstream Wikipedia licenses) |

## Processing and Cleaning Pipeline

Our conversion pipeline combines several sophisticated techniques to transform raw Wikipedia HTML into high-quality Markdown:

1. **HTML Preprocessing:** We start with the Enterprise HTML dump in Extended DOLMA format, which provides HTML representations of Wikipedia articles with metadata.

2. **Structural Cleanup**
    - Mathematical equations are converted from MathML to LaTeX notation with appropriate delimiters
    - Infoboxes are relocated to a dedicated section at the end of each article
    - Reference sections and citations are removed to reduce noise and focus on the informative content

3. **DOM Simplification:** We employ a [custom-enhanced version of Resiliparse](https://github.com/stanford-crfm/chatnoir-resiliparse) that preserves semantic HTML structure. Rather than flattening to plain text, we retain important elements like headings, paragraphs, lists while removing scripts, tracking code, and boilerplate.

4. **Markdown Conversion:** Our [custom Markdownify](https://github.com/marin-community/marin/blob/main/marin/markdown/markdown.py#L145-L650) implementation transforms the simplified DOM into clean Markdown with these characteristics:
    - Consistent heading format using the ATX style (# Heading)
    - Removal of Wikipedia-specific navigation elements and edit buttons
    - Preservation of tables in GitHub-flavored Markdown
    - Standardized list formatting

    The final output stores each article as a JSON object containing the Markdown text and essential metadata (ID, title, URL, creation date, and optional abstract).

5. **Quality Filtering:** Articles are discarded when they match any of these criteria:
    - More than 50% digits
    - Fewer than 70 words
    - More than 50% special characters
These filters were applied to remove statistical tables, list-only pages, and navigation stubs.

## Usage Example

```python
from datasets import load_dataset

ds = load_dataset(
    "marin-community/wikipedia-markdown",
    split="train",
    streaming=True
)

for article in ds.take(3):
    print(article["text"])
```

## Citation

If you use this dataset in your research, please cite both the original Wikipedia contributors and our work:
```
@misc{markdownified_wiki_2024,
  title        = {Marin Markdownified Wikipedia},
  author       = {The Marin Community},
  year         = {2024},
  url          = {https://huggingface.co/datasets/marin-community/wikipedia-markdown}
}
```

## License

All content inherits Wikipedia's licensing: CC-BY-SA 4.0. Our conversion tools and pipeline are released under Apache 2.0.

## Acknowledgement

We extend our gratitude to:

- The Wikimedia Foundation and Wikipedia's volunteer editors
- Janek Bevendorff for the [Resiliparse project](https://github.com/chatnoir-eu/chatnoir-resiliparse)
- Matthew Dapena-Tretter for [Markdownify](https://github.com/matthewwithanm/python-markdownify)