README.md

metadata

dataset_info:
  features:
    - name: Player
      dtype: string
    - name: Receptions
      dtype: int64
    - name: Yards
      dtype: int64
    - name: Yards/Game
      dtype: int64
    - name: Yards/Reception
      dtype: int64
    - name: Touchdowns
      dtype: int64
    - name: FirstDowns
      dtype: int64
    - name: 20+Yds
      dtype: int64
    - name: Catch%
      dtype: float64
    - name: Fumbles
      dtype: int64
    - name: YardsAfterCatch
      dtype: int64
    - name: Targets
      dtype: int64
  splits:
    - name: original
      num_bytes: 2628
      num_examples: 25
    - name: augmented
      num_bytes: 39092
      num_examples: 350
  download_size: 21057
  dataset_size: 41720
configs:
  - config_name: default
    data_files:
      - split: original
        path: data/original-*
      - split: augmented
        path: data/augmented-*
license: mit
pretty_name: NFL 2024 Receiving Yard Leaders

Dataset Description

This dataset contains statistics for the NFL 2024 receiving yard leaders, with both original measurements and augmented samples. Each row corresponds to a player, with the target variable being TD (touchdowns scored).

• Original split: 30 manually collected samples with real player names.
• Augmented split: 300 synthetic samples with the player name replaced by placeholder values like Synthetic_Player_1, Synthetic_Player_2, etc., created using data augmentation techniques.

Features

• player (string): Player name, or placeholder for augmented data
• Yds (int32): Total receiving yards
• TD (int32): Total touchdowns scored (target variable)
• 20+ (int32): Receptions of 20+ yards
• 40+ (int32): Receptions of 40+ yards
• LNG (int32): Longest reception
• Rec (int32): Total receptions
• 1st (int32): First down receptions
• 1st% (float32): First down reception percentage
• Rec FUM (int32): Fumbles on receptions
• Rec YAC/R (float32): Yards after catch per reception
• Tgts (int32): Total targets

Intended Use

This dataset is suitable for regression or supervised learning tasks, such as predicting touchdowns based on receiving stats. It is also intended for educational purposes, including exploring feature importance, synthetic data generation, and supervised learning workflows.

Limitations

• Original split is small (30 samples) and represents only top-performing players.
• Augmented split uses synthetic player names and may not fully represent real-world distributions.

Citation

If you use this dataset, please cite:
"Collected NFL 2024 Receiving Yard Leaders Dataset, augmented for educational purposes in a machine learning coursework project."