markdown
Datasets
All datasets matching “markdown”sec-10k-markdown-uncompressed
📄 SEC 10-K Full Uncompressed Markdown Filings (12.3k Documents)
Dataset Summary
This dataset contains 12,361 full-length, uncompressed SEC Form 10-K annual reports converted from EDGAR HTML to clean Markdown format across 1,379 companies (spanning 2004 to 2025, core 2014–2025).
The dataset is organized as uncompressed Markdown files structured by company ticker subdirectories (AAPL/10-K_2024.md, NVDA/10-K_2024.md, etc.), complete with company metadata manifests… See the full description on the dataset page: https://huggingface.co/datasets/astr010/sec-10k-markdown-uncompressed.awesome-markdown-ebooks
Awesome-markdown-ebooks
Your GitHub PDFs, Now AI-Ready.
Project repo: https://github.com/OpenDataLab/awesome-markdown-ebooks
SciLaD-all-markdown-v1
SciLaD (Markdown)
SciLaD is a novel, large-scale dataset of scientific language constructed entirely using open-source frameworks and publicly available data sources. It comprises a curated English split containing over 10 million scientific publications and a multilingual, unfiltered TEI XML split including more than 35 million publications. We also publish the extensible pipeline for generating SciLaD.
Dataset Details
In this repository we share the full… See the full description on the dataset page: https://huggingface.co/datasets/scilons/SciLaD-all-markdown-v1.Embrapa-ai-documents-markdownmarkdown-documentation-transformers
Hugging Face Transformers documentation as markdown dataset
This dataset was created using Clipper.js. Clipper is a Node.js command line tool that allows you to easily clip content from web pages and convert it to Markdown. It uses Mozilla's Readability library and Turndown under the hood to parse web page content and convert it to Markdown.
This dataset can be used to create RAG applications, which want to use the transformers documentation.
Example document:… See the full description on the dataset page: https://huggingface.co/datasets/philschmid/markdown-documentation-transformers.ar5iv-no-problem-markdown
Marin Markdownified Ar5iv
Markdownified Ar5iv transforms academic papers from arXiv into clean, structured Markdown format consisting of 2.74B tokens across two splits. This dataset preserves th content while making it accessible for language model training on academic text.
Value
Tokens
2 742 463 924
Primary source
https://sigmathling.kwarc.info/resources/ar5iv-dataset-2024/
File format
JSONL
License
C-UDA-1.0 (mirrors upstream Ar5iv licenses)… See the full description on the dataset page: https://huggingface.co/datasets/marin-community/ar5iv-no-problem-markdown.