File size: 1,750 Bytes
b34a867 b090b5c b34a867 2bf0b2f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 | ---
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. |