astr010/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 (manifest.json).

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📊 Dataset Statistics

Metric	Value
Total Companies (Tickers)	1,379 company folders
Total 10-K Filings	12,361 full-length .md documents
File Format	Raw Markdown (.md) documents
Uncompressed Dataset Size	4.75 GB
Fiscal Years Covered	2004 – 2025 (Core: 2014–2025)
Primary Language	English
Licensing	MIT

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📁 Repository Structure

sec-10k-markdown-uncompressed/
├── AAPL/
│   ├── 10-K_2014.md
│   ├── 10-K_2015.md
│   ├── ...
│   ├── 10-K_2024.md
│   └── manifest.json
├── MSFT/
│   ├── 10-K_2014.md
│   ├── ...
│   └── manifest.json
└── NVDA/
    ├── 10-K_2015.md
    └── ...

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💻 Quickstart & Usage in Python

Using Hugging Face datasets:

from datasets import load_dataset

# Load uncompressed dataset
dataset = load_dataset("astr010/sec-10k-markdown-uncompressed")

# Sample a document
sample = dataset["train"][0]
print(f"File Path: {sample['path']}")
print(f"Content Preview:\n{sample['text'][:200]}...")

Using huggingface_hub to download a single company folder:

from huggingface_hub import snapshot_download

# Download full folder for AAPL
path = snapshot_download(
    repo_id="astr010/sec-10k-markdown-uncompressed",
    allow_patterns="AAPL/*",
    repo_type="dataset"
)

# Read filing
with open(f"{path}/AAPL/10-K_2024.md", "r", encoding="utf-8") as f:
    text = f.read()
print(f"AAPL 2024 10-K length: {len(text):,} characters")

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📜 Licensing & Citation

This dataset is released under the MIT License.

@dataset{sec_10k_markdown_uncompressed_2026,
  author       = {Tim Condello},
  title        = {SEC 10-K Full Uncompressed Markdown Filings},
  year         = {2026},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/astr010/sec-10k-markdown-uncompressed}}
}