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Winnie the Pooh - Prediction Markets Dataset
A unified dataset of prediction market data from Kalshi, normalized into a canonical format for forecasting model evaluation.
Dataset Summary
This dataset contains 14,118,806 markets from Kalshi prediction markets, with time series data for price/belief tracking over time.
- Source: Kalshi public S3 bucket (
kalshi-public-docs.s3.amazonaws.com/reporting) - Date Range: 2023-01-01 to 2025-02-10 (772 days processed)
- Total Markets: 14,118,806
- History Points: 7,698,189
- Format: Parquet
Dataset Structure
MarketRecord (Static Metadata)
source: "kalshi"market_id: Unique market identifier (ticker)title: Market question/titledescription: Full market descriptionmarket_type: Market type (binary, multiple_choice, numeric, other)status: Market status (open, closed, resolved, unknown)end_time: When the market closesresolved_value_json: Outcome (if resolved)
TimeSeriesPoint (Belief History)
Stored as nested lists per market:
ts: List of timestampsbelief: List of normalized probabilities/prices (0-1)volume: List of trading volumesopen_interest: List of open interest valuesbid: List of bid pricesask: List of ask prices
Usage
import pandas as pd
# Load the dataset
df = pd.read_parquet("data.parquet")
# View structure
print(df.head())
print(f"Total markets: {len(df)}")
# Access a market's time series
market = df.iloc[0]
print(f"Market: {market['market_id']}")
print(f"History points: {len(market['belief'])}")
Data Collection
Data was collected from Kalshi's public S3 bucket, which provides daily bulk market data files. The pipeline:
- Downloads bulk data from S3 (no credentials needed)
- Identifies active markets with trading volume
- Processes time series data
- Normalizes into unified format
See the source repository for the full data pipeline code.
Citation
If you use this dataset, please cite:
@dataset{winniethepooh2026,
title={Winnie the Pooh - Prediction Markets Dataset},
author={carpetxie},
year={2026},
url={https://huggingface.co/datasets/carpetxie/winniethepooh}
}
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