Hi HF community
Just released Huggy Database — the largest open dataset of French horse racing ever published on the Hub.
What’s inside
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356,371 unique races (1996 → 2026, 30 years of complete daily coverage)
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~5M runners with jockey / trainer / owner / weight / odds / finishing position
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Payouts (PMU / PMH — Simple, Couplé, Trio, Quinté+, etc.)
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Clean, deduplicated, normalized (accents/case-insensitive matching on 40K+ actors)
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ML-ready CSV + relational structure Links
Use cases
- Tabular classification (winner prediction)
- Odds efficiency / market inefficiency research
- Long-horizon sports analytics (26 years of data)
- Graph ML on jockey/trainer/horse networks
Feedback welcome
- What columns would you add?
- Interested in a HF-hosted Parquet mirror?
- Any specific ML baseline you’d like to see?
Happy to answer questions here