website/docs/guides/huggingface-features.md

✅ HuggingFace Dataset Sharing Added!

What's New

You can now publish your jurisdiction discovery datasets to HuggingFace Hub for public sharing and collaboration!

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🎯 New Capabilities

1. HuggingFace Publisher Module

• File: pipeline/huggingface_publisher.py
• Publishes datasets to HuggingFace Hub
• Supports all discovery data layers (Bronze/Silver/Gold)

2. CLI Command

python main.py publish-to-hf --dataset all

3. 5 Publishable Datasets

• census-gid - Census Bureau GID (90,735 jurisdictions)
• gov-domains - CISA .gov domains (15,000+)
• nces-schools - NCES school districts (13,000+)
• discovered-urls - Discovered URLs with metadata
• scraping-targets - Prioritized scraping targets

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📦 Files Added/Updated

New Files

• ✅ pipeline/huggingface_publisher.py - HuggingFace publisher (~400 lines)
• ✅ docs/HUGGINGFACE_PUBLISHING.md - Complete publishing guide

Updated Files

• ✅ requirements.txt - Added datasets>=2.16.0 and huggingface-hub>=0.20.0
• ✅ config/settings.py - Added huggingface_token, hf_organization, hf_dataset_prefix
• ✅ .env.example - Added HuggingFace configuration
• ✅ main.py - Added publish-to-hf CLI command
• ✅ README.md - Added HuggingFace publishing section

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🚀 Quick Start

1. Get HuggingFace Token

Visit: https://huggingface.co/settings/tokens

Create a Write token

2. Configure

Add to .env:

HUGGINGFACE_TOKEN=hf_your_write_token_here
HF_ORGANIZATION=CommunityOne
HF_DATASET_PREFIX=oral-health-policy-pulse

3. Install Dependencies

pip install datasets huggingface-hub

4. Publish

# Publish all datasets
python main.py publish-to-hf --dataset all

# Or publish individually
python main.py publish-to-hf --dataset census
python main.py publish-to-hf --dataset discovered-urls

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📊 What Gets Published

Dataset URLs

Your datasets will be available at:

• https://huggingface.co/datasets/CommunityOne/oral-health-policy-pulse-census-gid
• https://huggingface.co/datasets/CommunityOne/oral-health-policy-pulse-gov-domains
• https://huggingface.co/datasets/CommunityOne/oral-health-policy-pulse-nces-schools
• https://huggingface.co/datasets/CommunityOne/oral-health-policy-pulse-discovered-urls
• https://huggingface.co/datasets/CommunityOne/oral-health-policy-pulse-scraping-targets

Public Access

Anyone can load your datasets:

from datasets import load_dataset

# Load census data
census = load_dataset("CommunityOne/oral-health-policy-pulse-census-gid")

# Load discovered URLs
urls = load_dataset("CommunityOne/oral-health-policy-pulse-discovered-urls")

# Access specific split
counties = census["counties"]
print(f"Total counties: {len(counties)}")

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💡 Use Cases

For Researchers

# Analyze jurisdiction coverage
from datasets import load_dataset
import pandas as pd

census = load_dataset("CommunityOne/oral-health-policy-pulse-census-gid")
df = pd.DataFrame(census["municipalities"])

# Cities by state
df.groupby("state_name")["population"].sum().sort_values(ascending=False)

For Civic Hackers

# Get all county .gov domains
domains = load_dataset("CommunityOne/oral-health-policy-pulse-gov-domains")
counties = domains.filter(lambda x: x['Domain Type'] == 'County')

For Data Scientists

# High-confidence discovered URLs
urls = load_dataset("CommunityOne/oral-health-policy-pulse-discovered-urls")
high_conf = urls.filter(lambda x: x['confidence_score'] > 0.8)

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🔄 Update Workflow

After Each Discovery Run

# Run discovery
python main.py discover-jurisdictions

# Publish updated datasets
python main.py publish-to-hf --dataset discovered-urls
python main.py publish-to-hf --dataset scraping-targets

Monthly Source Data Updates

# Re-ingest source data
python main.py discover-jurisdictions

# Publish refreshed datasets
python main.py publish-to-hf --dataset census
python main.py publish-to-hf --dataset gov-domains
python main.py publish-to-hf --dataset nces-schools

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🎯 CLI Options

# Publish all datasets
python main.py publish-to-hf --dataset all

# Publish specific dataset
python main.py publish-to-hf --dataset census
python main.py publish-to-hf --dataset gov-domains
python main.py publish-to-hf --dataset nces-schools
python main.py publish-to-hf --dataset discovered-urls
python main.py publish-to-hf --dataset scraping-targets

# Make datasets private
python main.py publish-to-hf --dataset all --private

# Sample census data (faster for testing)
python main.py publish-to-hf --dataset census --sample

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🔒 Privacy & Security

What's Safe to Publish

✅ Public Data:

• Census Bureau GID (already public)
• CISA .gov domains (already public)
• NCES school districts (already public)
• Discovered government URLs (public websites)
• Scraping targets (public information)

⚠️ Use --private for:

• Scraped meeting minutes content
• Internal analysis results
• Custom annotations

❌ Never Publish:

• Personal information (PII)
• API keys or tokens
• Internal comments/notes

Token Security

• Store token in .env file (gitignored)
• Use write token (not fine-grained)
• Revoke token if compromised

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📚 Documentation

Complete guide: HUGGINGFACE_PUBLISHING.md

Covers:

• Detailed setup instructions
• Dataset structure and schemas
• Programmatic publishing in Python
• Loading datasets in Python/R
• Collaboration features
• Troubleshooting

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🌍 Community Impact

By publishing your datasets, you enable:

• 📊 Reproducible research on government accessibility
• 🤝 Cross-project collaboration
• 🔍 Discovery of missing government websites
• 📈 Tracking government digital infrastructure over time
• 🎓 Educational use for civic tech training

Your jurisdiction discovery data helps the entire civic tech community! 🙏

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✅ Benefits

Feature	Before	After
Data Storage	Local only	Local + HuggingFace Hub
Data Sharing	Manual export	One-command publish
Collaboration	Email/Dropbox	Public datasets w/ versioning
Discovery	None	Searchable on HuggingFace
Access	Your team only	Anyone worldwide
Versioning	Manual	Automatic Git-style tracking

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Ready to share your jurisdiction discovery data with the world! 🌍🦷✨