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Changelog & Updates

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Automated Update System

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Update Frequency

1. Downloads the latest data from Kaggle sources
2. Checks for any changes compared to the existing data
3. If changes are detected:
   • Commits the updated data to the repository
   • Creates a new GitHub release with downloadable data.zip
   • Uploads to HuggingFace Datasets

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How It Works

# Scheduled to run every Sunday at specific times
schedule:
  - cron: '30 2 27 10 *'

# Can also be triggered manually
workflow_dispatch:

1. Download - Fetches latest datasets from Kaggle:
   • formula-1-race-data
   • formula-1-race-events
2. Detect Changes - Compares new data with existing data
3. Commit & Push - If changes exist:
   chore: update F1 datasets - [DATE]
   
   Automated update of Formula 1 datasets from Kaggle
   - formula-1-race-data
   - formula-1-race-events
   
4. Create Release - Generates a new GitHub release:
   • Tag format: data-YYYY-MM-DD
   • Includes data.zip with all tables
   • Automated release notes
5. Sync HuggingFace - Updates the HuggingFace Datasets mirror

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Accessing Latest Data

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GitHub Releases

wget https://github.com/TracingInsights/RaceData/releases/latest/download/data.zip

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HuggingFace Datasets

from datasets import load_dataset

dataset = load_dataset("tracinginsights/RaceData")

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Direct Git Clone

git clone https://github.com/TracingInsights/RaceData.git
cd RaceData/data

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Checking for Updates

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Via GitHub API

curl https://api.github.com/repos/TracingInsights/RaceData/releases/latest

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Via Git

git fetch origin
git log HEAD..origin/main --oneline

git pull origin main

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Release Notifications

• Watch the repository on GitHub (select “Releases only”)
• Subscribe to releases via RSS: https://github.com/TracingInsights/RaceData/releases.atom
• Follow TracingInsights on social media

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Update History

• Release date and time (UTC)
• Dataset version tag (e.g., data-2026-03-12)
• Source information - Which Kaggle datasets were updated
• Download link - Direct link to data.zip

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Data Version Control

• View change history - See what data changed and when
• Access historical versions - Check out previous releases
• Track data evolution - Understand how the dataset has grown

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Accessing Historical Data

# List all release tags
git tag -l

# Checkout a specific version
git checkout tags/data-2025-12-31

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Manual Updates

• GitHub UI: Actions → Update F1 Datasets → Run workflow
• GitHub CLI: gh workflow run update-datasets.yml

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Data Source Updates

• Updates depend on Kaggle dataset maintainers updating their datasets
• Typically updated within hours of race completion
• Historical data corrections propagate through automated updates

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Questions About Updates?

• Missing recent race data (>3 hours after race completion)
• Update failures or errors
• Stale data that should have been updated