The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Prediction Market Analysis Dataset (Public Mirror)
This repository is a durable public mirror of the prediction market dataset collected and originally published by Jonathan Becker (jon-becker/prediction-market-analysis).
Overview
The dataset provides the largest publicly available collection of Polymarket and Kalshi market, order book, and trade history data, covering both API-collected data and blockchain-indexed trade data.
- Original Creator / Author: Jonathan Becker (@BeckerrJon / jonathan@jbecker.dev)
- Original Repository: github.com/jon-becker/prediction-market-analysis
- License: MIT License (carried forward from the original project)
Purpose of this Mirror
This repository serves as an immutable public backup of the complete, unpruned dataset archive (data.tar.zst, ~36.02 GiB compressed / ~50 GiB uncompressed across 49,486 Parquet & JSON files), ensuring long-term data durability independent of upstream Cloudflare R2 hosting.
Contents & Layout
When extracted, the archive contains:
data/kalshi/markets/: Market metadata parquet filesdata/kalshi/trades/: Kalshi trade execution parquet filesdata/polymarket/blocks/: Polygon blockchain block datadata/polymarket/markets/: Polymarket market metadatadata/polymarket/trades/: Trade events indexed from Polygon blockchaindata/polymarket/legacy_trades/: Historical Polymarket trade datadata/polymarket/fpmm_collateral_lookup.json: FPMM collateral token lookup map
How to Restore & Use
To restore this dataset into a clone of jon-becker/prediction-market-analysis:
# 1. Download the archive
curl -L -o data.tar.zst "https://huggingface.co/datasets/rhinot/prediction-market-analysis/resolve/main/data.tar.zst"
# 2. Extract into data/
zstd -d data.tar.zst --stdout | tar -xf -
# 3. Clean up
rm data.tar.zst
Or update scripts/download.sh in the repository to point URL to:
https://huggingface.co/datasets/rhinot/prediction-market-analysis/resolve/main/data.tar.zst
and run:
make setup
Citation
@misc{becker2026predictionmarkets,
author = {Becker, Jonathan},
title = {Prediction Market Analysis: Polymarket and Kalshi Dataset},
year = {2026},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\\url{https://github.com/jon-becker/prediction-market-analysis}}
}
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