HEDA: Huggingface Electronic Data Archive

The Ultimate Autonomous OSINT Matrix

HEDA is the deep-storage vault for Project VEDA.

While VEDA handles the lightweight routing, temporal sorting, and frontend UI via GitHub, HEDA operates as a massive, passive data warehouse. It permanently stores the 1000+ word raw text extractions from over 30 global and regional news syndicates.

Architecture

• Command Engine: VEDA (Python 3.12 / GitHub Actions)
• Deep Extraction: Trafilatura (Asynchronous NLP Scrape)
• Warehouse Storage: Hugging Face Datasets (JSON via Git LFS)
• Sweep Frequency: Every 2 Hours (Autonomous)

Data Structure

The deep intel is stored in the data/ directory using the YYYY-MM-DD-deep.json naming convention.

The schema is a lightweight dictionary mapping MD5 hashes (generated from the clean URL) directly to the raw extracted text:

{
  "md5_article_hash_id": "Raw 1000+ word text extracted directly from the DOM, stripped of ads, tracking, and bloat..."
}