task_categories:tabular-regression license:mit region:us running sports speed
---
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.