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+ # Running Speed Dataset
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+
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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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+
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+ ## Dataset Structure
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+
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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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+
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+ ### Data Fields
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+
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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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+
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+ ### Data Splits
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+
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+ The dataset consists of a single training split with no test/validation splits provided.
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+
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+ ## Dataset Creation
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+
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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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+
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+ This dataset contains no annotations as it is a simple numerical mapping.
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+
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+ ## Additional Information
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+
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+ ### License
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+ MIT License
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+
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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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+
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+ ### Contributions
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+ Feel free to contribute to this dataset by opening a pull request.