datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
football-charts-results-goal-timing
Football Charts — Match Results and Goal Timing
Football Charts publishes results, fixtures, league tables and the minute of
every goal for 93 leagues in 42 countries, including the lower divisions and
women's competitions most sources skip. Free JSON API and MCP server; the
results and goal-timing dataset is CC BY 4.0 with a DOI
(10.5281/zenodo.22295583).
Most public football datasets cover the big five European leagues and stop at
the final score. This one reaches Serie C, 3.… See the full description on the dataset page: https://huggingface.co/datasets/Damir81/football-charts-results-goal-timing.turkish-plu-goal-inferenceHomepage: https://github.com/GGLAB-KU/turkish-plu
premier-league-first-goal-impact-2025-26
What Is the First Goal Worth? — 2025/26 Premier League
Match-level data behind a 5DollarFootballAPI study of how the first confirmed goal changed
Bet365's normalized in-play win probabilities during the 2025/26 Premier League season.
Across 347 usable matches, the median within-match increase in the scoring team's normalized
win probability was 23.1 percentage points (bootstrap 95% CI: 22.4–24.2). The median
first goal after minute 75 moved the probability by 62.2 points… See the full description on the dataset page: https://huggingface.co/datasets/5dollarfootballapi/premier-league-first-goal-impact-2025-26.goal-contribution-efficiency-top-5-leagues
⚽ Football Player Performance Analysis (2019-2020)
📋 Project Overview
This project explores player performance data across the Top 5 European Leagues (England, France, Germany, Italy, and Spain) during the 2019-2020 season. Using a dataset of 2,661 players and 22 columns, we analyze the relationship between actual scoring output and expected metrics.
❓ Research Question
"Do top-tier goal contributors consistently exceed their expected metrics (xG and xA), or… See the full description on the dataset page: https://huggingface.co/datasets/rotemknat/goal-contribution-efficiency-top-5-leagues.epl-inplay-quad-pre-goal-collapse-window-v0.1EPL In-Play Quad Pre-Goal Collapse Window v0.1
What this dataset is
You test whether a model can detect an in-play collapse window before a goal.
Each row represents a live match-state snapshot.
The label asks
Will a goal occur in the next 120 seconds
Core quad coupling
Press intensityDefensive line heightTurnover zonexG per possession
Why this matters
Most football models explain goals after the fact.
This dataset tests pre-goal instability detection.
Intended use
You feed a row.
You output a… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/epl-inplay-quad-pre-goal-collapse-window-v0.1.complete-goal-35f45b
complete-goal-35f45b
Synthetic products test data: 51 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/yuiyamada/complete-goal-35f45b.cristiano-ronaldo-all-club-goals-stats
Context
This dataset contains all the stats of all club goals of Cristiano Ronaldo dos Santos Aveiro.
About Cristiano Ronaldo
Cristiano Ronaldo dos Santos Aveiro is a Portuguese professional footballer who plays as a forward for Premier League club Manchester United and captains the Portugal national team.
Current team: Portugal national football team (#7 / Forward) Trending
Born: February 5, 1985 (age 37 years), Hospital Dr. Nélio Mendonça, Funchal, Portugal
Height:… See the full description on the dataset page: https://huggingface.co/datasets/azminetoushikwasi/cristiano-ronaldo-all-club-goals-stats.RealMadrid_Goals_Prediction
Real Madrid Goals Prediction
This dataset contains statistics of Real Madrid Matches, It helps you predict the number of goals that Real Madrid scores in the next Matchs
Overview
Rows: 41 (match records)
Columns / Features:
Date – Date of the match
Home – 1 if Real Madrid played at home, 0 if away
Opponent – Opponent team
RM_Form_Last5 - Real Madrid's Form in the last 5 matches
RM_AvgGoals_Last5 – Average goals scored by Real Madrid in the last 5 matches… See the full description on the dataset page: https://huggingface.co/datasets/shapdl/RealMadrid_Goals_Prediction.ai-temporal-5node-pressure-buf-lag-cpl-alignment-goal-drift-v0.1
What this repo does
This dataset tests whether a model can detect an alignment cascade forming over time by reading a short ordered window of signals and predicting whether goal drift lock-in occurs by the final step.
Core quad
pressurebufferlagcoupling
Prediction target
label_cascade_state
Row structure
One row represents one short time window (t0 to t3) for an AI system under alignment pressure. It includes time-series values for optimization… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-temporal-5node-pressure-buf-lag-cpl-alignment-goal-drift-v0.1.turkish-plu-goal-inference
Data
Find the train, validation, and test splits for the goal inference task.
Goal inference data follows the format of the SWAG dataset, as can be seen in the example below:
video-id,fold-ind,startphrase,sent1,sent2,gold-source,ending0,ending1,ending2,ending3,label
xxx,259773,xxx,xxx,Modemi koyacağın yere karar ver.,xxx,Modem Kurmak,Anten Ayarlamak,VPN Kurmak,VPN Kullanmak,0
goal_substitution_detector_v01Goal Substitution Detector v0.1
This is an evaluation dataset that detects when a model silently replaces a user’s stated goal with a simpler, easier, or more convenient one.
It targets a common failure mode in agentic and planning systems where outputs remain plausible but no longer serve the original user intent.
This is not training data.
What it tests
Goal preservation across multiple steps
Resistance to convenience and effort pressure
Explicit handling of proposed goal changes
Detection… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/goal_substitution_detector_v01.ai-environment-goal-coherence-baseline-mapping-v0.1What this dataset is
Benchmarks whether an agent keeps the same goal when the environment shifts
Establishes a baseline coherence manifold before drift detection work
Input fields
env_features
training_objective
deployment_context
internal_goal_signal
policy_behavior_summary
Required model output format
Return JSON with these fields
baseline_coherence_score0 to 1higher means the goal signal and behavior still match the objective
goal_representation_stability0 to 1higher means the… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-environment-goal-coherence-baseline-mapping-v0.1.goat_standardizedai-goal-failure-horizon-and-realignment-routing-v0.1What this dataset is
Predicts how soon goal drift becomes a hard failure
Names the realignment window before collapse
Forces an intervention choice with triggers and monitoring
Inputs
setting
env_shift_event
observed_drift_markers
goal_representation_summary
behavioral_deviation_summary
system_constraints
intervention_options
Gold fields in the CSV
failure_mode
estimated_failure_horizon_steps
realignment_window_steps
gold_intervention_choice
realignment_trigger_conditions… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-goal-failure-horizon-and-realignment-routing-v0.1.University_athletic_performance_and_goal_orientation_dataset_2021-2024