Huggy Database — 356,371 French horse races (1996–2026), PMU/PMH, ML-ready

The Huggy Database, the largest open dataset of French horse racing, has been released on the Hugging Face Hub, containing 356,371 unique races from 1996 to 2026 with approximately 5 million runners and detailed payout information from PMU/PMH. The ML-ready dataset supports use cases such as winner prediction, market inefficiency research, and graph ML on jockey/trainer/horse networks.

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 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