datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sportsbookish-daily-odds
SportsBookISH Daily Kalshi vs Sportsbook Odds
Real-time pricing snapshot comparing Kalshi event-contract probabilities against US sportsbook consensus across nine sports.
Description
Daily-refreshed JSON / CSV export of every active Kalshi market alongside the de-vigged book median across 13+ US sportsbooks. Covers golf (PGA Tour), NFL, NBA, MLB, NHL, EPL, MLS, UEFA Champions League, and FIFA World Cup.
Source
Live data plane:
JSON:… See the full description on the dataset page: https://huggingface.co/datasets/kennyhyder/sportsbookish-daily-odds.lc0-odds-botsFootball_Results_and_Odds_Data_of_EPL
Strategic Analysis of Home Turf Advantage in Professional Football
Author: Shaked Sabbach | Institution: Reichman University (IDC) | april 2026
1. Background & Objectives
In the complex landscape of sports economics, the "Home Advantage" represents a multi-faceted variable that directly influences team valuation, global betting markets, and high-level strategic planning. This research aims to move beyond anecdotal evidence by providing a robust, data-driven… See the full description on the dataset page: https://huggingface.co/datasets/shaked08/Football_Results_and_Odds_Data_of_EPL.football_odds_2023-24This repo contains curated data about football odds for the season 2023-24 for Champions League, Europa League and the top 5 national leagues (Premier League, Liga, Seria A, Bundesliga, Ligue 1).
For each match, the file match_odds contains odds for 1X2, double chance, Goal/NoGoal, Under/Over 2.5, with corresponding calculated vigourish values.
For each match, odds have been collected multiple times as they were changing in the days before the match. No live odds has been collected.
For each… See the full description on the dataset page: https://huggingface.co/datasets/fabul0us/football_odds_2023-24.task852_synthetic_multiply_odds
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task852_synthetic_multiply_odds
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task852_synthetic_multiply_odds.Sample-Historical-Football-Odds
⚽ Sample: World Football Historical Closing Odds
⚠️ THIS IS A 1% FREE SAMPLE DATASET ⚠️
This dataset contains a tiny fraction of our premium database to let data scientists and quants test the data structure, cleanliness, and column formatting.
💎 THE FULL MASTER DATASET (1998-2026)
If you are building professional predictive models, backtesting betting algorithms, or doing institutional-grade quantitative analysis, you need the complete picture.
The Full Master Dataset… See the full description on the dataset page: https://huggingface.co/datasets/oliviersportsdata/Sample-Historical-Football-Odds.NFL-Multi-Market-Timestamped-Odds-Team-Stats
🏈 NFL Multi-Market — Timestamped Odds & Team Stats (2018–2026)
Free sample — 18 games, 26,169 timestamped snapshots, eight Super Bowls.
Every NFL archive on the market gives you one closing number per game.
The full dataset gives you the entire line history: 2,816,380 timestamped snapshots
across 2,242 games, two named books and three markets — pre-match and in-running,
with the live score and the game clock on the same row as the price.
→ Get the full archive — 2,816,380… See the full description on the dataset page: https://huggingface.co/datasets/oliviersportsdata/NFL-Multi-Market-Timestamped-Odds-Team-Stats.FIFA-World-Cup-Multi-Market-Timestamped-Odds-Match-Stats
FIFA World Cup — In-Running Timestamped Odds (free sample)
This repository holds a free sample: 10 matches out of 232, drawn across the
three editions and both phases of each tournament, including two penalty
shootouts. It is published so the schema can be inspected before purchase.
Edition
Rounds in the sample
2018
Round 1 · Round 3 · Round of 16 (shootout)
2022
Round 1 · Round 2 · Round of 16 (shootout)
2026
Round 1 · Round 3 · Round of 32 (shootout) · Round of… See the full description on the dataset page: https://huggingface.co/datasets/oliviersportsdata/FIFA-World-Cup-Multi-Market-Timestamped-Odds-Match-Stats.tennis-betting-odds-model
🎾 Predicting Tennis Betting Dynamics Using Machine Learning
Regression, Classification & Feature Engineering on WTA 2007–2023 Match Data
This project explores whether machine learning models can predict betting odds and betting risk levels from historical WTA tennis statistics.Using a large-scale dataset (2007–2023), we built regression and classification models to understand how ranking, performance gaps, match context, and engineered features shape betting market… See the full description on the dataset page: https://huggingface.co/datasets/Nevoreuven/tennis-betting-odds-model.odds-data
Betkyo odds data
Machine-readable tables behind the Betkyo Journal, exported from the casino game engine source rather than typed by hand. Each JSON file carries its provenance (source names the engine module, article the derivation, generated the export date) and a data object; the CSV next to it is the same table flattened. index.json lists them all.
File
What it is
Derivation
keno-paytables
All forty keno payout tables (level × picks × hits), total-return… See the full description on the dataset page: https://huggingface.co/datasets/Betkyo/odds-data.baseball-stats-cleaned_oddsportal_mlbCNNRegressorLighticml26-repro-oddshap
OddSHAP reproduction
This bundle independently checks the odd-component identity, paired-design
orthogonality, and Fourier recovery, then runs a scaled noisy Fourier-game
benchmark. Run uv run --with-requirements requirements.txt python reproduce.py.
author_code/ is a provenance checkout and is not imported by the independent
script.
football_odds_2023-24This repo contains curated data about football odds for the season 2023-24 for Champions League, Europa League and the top 5 national leagues (Premier League, Liga, Seria A, Bundesliga, Ligue 1).
For each match, the file match_odds contains odds for 1X2, double chance, Goal/NoGoal, Under/Over 2.5, with corresponding calculated vigourish values.
For each match, odds have been collected multiple times as they were changing in the days before the match. No live odds has been collected.
For each… See the full description on the dataset page: https://huggingface.co/datasets/cctctc/football_odds_2023-24.task369_synthetic_remove_odds
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task369_synthetic_remove_odds
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task369_synthetic_remove_odds.Chest-X-Ray-4powerball-mega-millions-jackpot-history-and-odds-research
Powerball and Mega Millions Jackpot History and Odds Research Dataset
This dataset packages official public Powerball and Mega Millions archives into one analysis-ready table for lottery research, jackpot-cycle analysis, expected-value education, and dashboard building.
Each row represents one published drawing from the Texas Lottery public winning-number archives and includes normalized winning numbers, jackpot estimate fields, winner-status flags, rollover-cycle metrics… See the full description on the dataset page: https://huggingface.co/datasets/Karmane/powerball-mega-millions-jackpot-history-and-odds-research.flan_combined_task852_synthetic_multiply_oddsKCMII_LLM_trainP2Mazeoddson2flan_combined_task369_synthetic_remove_oddsOddsOn