metadata

license: mit
task_categories:
  - tabular-regression
tags:
  - running
  - sports
  - speed
dataset_info:
  features:
    - name: meters
      dtype: float32
    - name: mph
      dtype: float32

Running Speed Dataset

Dataset Description

This placeholder dataset maps running distances to typical running speeds, providing a simple relationship between meters covered and miles per hour (mph). The dataset can be used for:

Analyzing the relationship between distance and running speed
Training basic regression models
Educational purposes in data science

Dataset Structure

The dataset is a simple CSV file with two columns:

meters: Distance covered in meters
mph: Corresponding speed in miles per hour

Data Fields

meters (float): The distance a person runs, measured in meters
mph (float): The corresponding speed, measured in miles per hour

Data Splits

The dataset consists of a single training split with no test/validation splits provided.

Dataset Creation

Source Data

The data represents typical running speeds across different distances, compiled to demonstrate the general trend that running speed tends to decrease as distance increases.

Annotations

This dataset contains no annotations as it is a simple numerical mapping.

Additional Information

License

MIT License

Citation

If you use this dataset, please cite:

@dataset{running_speed_2025,
  author       = {Sean Payne},
  title        = {Running Speed Dataset},
  month        = {1},
  year         = {2025},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/datasets/spayno/running_speed}
}

Contributions

Feel free to contribute to this dataset by opening a pull request.