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README.md
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@@ -21,14 +21,14 @@ Markdownified Wikipedia is a large-scale, pre-processed version of the English W
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Our conversion pipeline combines several sophisticated techniques to transform raw Wikipedia HTML into high-quality Markdown:
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1. **HTML Preprocessing:** We start with the Enterprise HTML dump in DOLMA format, which provides HTML representations of Wikipedia articles with metadata.
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2. **Structural Cleanup**
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- Mathematical equations are converted from MathML to LaTeX notation with appropriate delimiters
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- Infoboxes are relocated to a dedicated section at the end of each article
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- Reference sections and citations are removed to reduce noise and focus on the informative content
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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
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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:
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- Consistent heading format using the ATX style (# Heading)
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If you use this dataset in your research, please cite both the original Wikipedia contributors and our work:
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```
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@misc{markdownified_wiki_2024,
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title = {Markdownified Wikipedia},
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author = {The Marin Community},
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year = {2024},
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url = {https://huggingface.co/datasets/marin-community/
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}
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```
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Our conversion pipeline combines several sophisticated techniques to transform raw Wikipedia HTML into high-quality Markdown:
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1. **HTML Preprocessing:** We start with the Enterprise HTML dump in Extended DOLMA format, which provides HTML representations of Wikipedia articles with metadata.
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2. **Structural Cleanup**
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- Mathematical equations are converted from MathML to LaTeX notation with appropriate delimiters
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- Infoboxes are relocated to a dedicated section at the end of each article
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- Reference sections and citations are removed to reduce noise and focus on the informative content
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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.
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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:
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- Consistent heading format using the ATX style (# Heading)
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If you use this dataset in your research, please cite both the original Wikipedia contributors and our work:
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```
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@misc{markdownified_wiki_2024,
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title = {Marin Markdownified Wikipedia},
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author = {The Marin Community},
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year = {2024},
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url = {https://huggingface.co/datasets/marin-community/wikipedia-markdown}
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}
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```
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