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README.md
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---
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license: mit
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tags:
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- sports
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- ncaa
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- basketball
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- march-madness
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- tabular
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size_categories:
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- 10K<n<100K
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---
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# NCAA March Madness Dataset (2011-2026)
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Player-level basketball statistics for NCAA tournament teams, plus game-level tournament matchups.
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## Dataset Description
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- **training_dataset.parquet**: 13,308 player-season records across 15 seasons (2011-2026), 55 columns
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- **tournament_matchups.jsonl**: 917 tournament game records (881 completed + 36 for 2026 bracket)
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- **bracket_2026.json**: 2026 tournament bracket structure with seeds and first-round matchups
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## Player Statistics (training_dataset.parquet)
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Each row is one player-season for a tournament team. Key columns:
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| Column | Description |
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|--------|-------------|
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| player_name, team, season_year | Identity |
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| pts_per_game, trb_per_game, ast_per_game | Box score stats |
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| fg_pct, three_p_pct, efg_pct, ts_pct | Shooting percentages |
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| per, bpm, ws | Advanced metrics |
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| team_wins, team_losses, team_sos, team_srs | Team context |
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| tournament_seed | 1-16 tournament seed |
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| include_in_training | Quality filter flag |
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## Tournament Matchups (tournament_matchups.jsonl)
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One JSON object per game with: season_year, round, region, team slugs/names/seeds, winner, scores.
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## Data Sources
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- [sports-reference.com/cbb](https://www.sports-reference.com/cbb/)
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## Usage
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```python
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import pandas as pd
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df = pd.read_parquet("training_dataset.parquet")
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print(df.shape) # (13308, 55)
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print(df["season_year"].unique()) # 2011-2026
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```
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## Demo
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See the interactive bracket predictor: [March Madness 2026 Space](https://huggingface.co/spaces/bukaef34d/march-madness-2026)
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