license:mit size_categories:n<1K format:csv modality:tabular library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# HorseRacePredictor

tags: time series, prediction, horse racing

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'HorseRacePredictor' dataset is designed to facilitate the development of machine learning models aimed at predicting the outcomes of horse races based on various factors. The data is structured to provide historical information and relevant features that could influence the race's result, such as the horse's past performance, jockey experience, track conditions, and weather conditions. The target variable for prediction is the winner of the race. Each row represents a race, with associated features and the label indicating the winning horse.

**CSV Content Preview:**

```
date,horse_name,jockey_name,track_condition,weather,winning_horse,prediction_score
2023-04-01,Silver Tiara,John Smith,Wet,Rainy,Golden Stripe,0.75
2023-04-02,Thunderhoof,Anna Bell,Dry,Sunny,Lightning Bolt,0.65
2023-04-03,Dawn Chaser,Erik Johnson,Soggy,Cloudy,Morning Glory,0.80
2023-04-04,Rapid Runner,Mark Taylor,Muddy,Windy,Speedy Pace,0.60
2023-04-05,Fast Lady,Laura King,Fair,Partly Cloudy,Rapid River,0.70
```

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'Betting':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=Betting&dataset=HorseRacePredictor&tags=time+series,+prediction,+horse+racing
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
