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--- |
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license: mit |
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task_categories: |
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- tabular-regression |
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tags: |
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- running |
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- sports |
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- speed |
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dataset_info: |
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features: |
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- name: meters |
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dtype: float32 |
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- name: mph |
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dtype: float32 |
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--- |
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# Running Speed Dataset |
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## Dataset Description |
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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: |
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- Analyzing the relationship between distance and running speed |
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- Training basic regression models |
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- Educational purposes in data science |
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## Dataset Structure |
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The dataset is a simple CSV file with two columns: |
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- `meters`: Distance covered in meters |
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- `mph`: Corresponding speed in miles per hour |
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### Data Fields |
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- `meters` (float): The distance a person runs, measured in meters |
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- `mph` (float): The corresponding speed, measured in miles per hour |
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### Data Splits |
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The dataset consists of a single training split with no test/validation splits provided. |
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## Dataset Creation |
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### Source Data |
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The data represents typical running speeds across different distances, compiled to demonstrate the general trend that running speed tends to decrease as distance increases. |
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### Annotations |
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This dataset contains no annotations as it is a simple numerical mapping. |
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## Additional Information |
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### License |
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MIT License |
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### Citation |
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If you use this dataset, please cite: |
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``` |
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@dataset{running_speed_2025, |
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author = {Sean Payne}, |
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title = {Running Speed Dataset}, |
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month = {1}, |
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year = {2025}, |
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publisher = {Hugging Face}, |
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url = {https://huggingface.co/datasets/spayno/running_speed} |
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} |
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``` |
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### Contributions |
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Feel free to contribute to this dataset by opening a pull request. |
