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

# GameStockPredict

tags: classification, finance, sports contingency

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

**Dataset Description:** The "GameStockPredict" dataset contains historical data from sports contingency events (e.g., fantasy sports leagues) that are relevant to financial investors interested in predicting stock performance based on game outcomes. Each row represents an event with details on the teams or players involved, the outcome of the game, and related financial market data. The dataset is designed for a classification model to predict whether the stock price of a company will rise or fall following a sports event.

**CSV Content Preview:**

```
id,team_name,opponent_team,outcome,market_volatility,label
1,Lakers,Clippers,"Won",0.22,Rise
2,Bulls,Bears,"Lost",0.37,Fall
3,Hawks,Knicks,"Draw",0.19,Stable
4,Red Sox,Yankees,"Won",0.27,Rise
5,Falcons,Packers,"Lost",0.42,Fall
```

In this CSV preview, `id` represents a unique identifier for each event, `team_name` and `opponent_team` are the names of the teams or players involved in the event, `outcome` is the result of the sports game (Won, Lost, Draw), `market_volatility` is a numerical indicator of market reaction to the event (possibly derived from a technical analysis of stock price fluctuations), and `label` is the predicted label indicating whether the stock price will rise, fall, or stay stable following the event. The dataset is meant to be used for a binary classification problem.

**Source of the data:**

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

- **Dataset Generation Page**: https://huggingface.co/spaces/arunmozhi/mysyntheticdata?q=&dataset=GameStockPredict&tags=classification,+finance,+sports+contingency
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=openledger-dataset-hub
