Hi HF community 
Just released Huggy Database - the largest open dataset of French horse racing ever published on the Hub.
What’s inside
- 356,371 unique races (1996 → 2026, 30 years of complete daily coverage)
- ~5M runners with jockey / trainer / owner / weight / odds / finishing position
- Payouts (PMU / PMH — Simple, Couplé, Trio, Quinté+, etc.)
- Clean, deduplicated, normalized (accents/case-insensitive matching on 40K+ actors)
- ML-ready CSV + relational structure
Links
- Dataset: https://huggingface.co/datasets/huggy-engine/horse-racing-database-fr/huggy-database
- Live demo: https://huggydatabase.com
- Free sample (Q1 1999, 932 races): included in the dataset repo under `sample_1999_q1/`
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?