Chess Multiverse Research
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Open Data Repository

Curated, clean, and structured chess datasets for research. Datasets are hosted on external repositories like Zenodo and Figshare to ensure long-term preservation and provide distinct DOIs.

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Chess Multiverse Error & Evaluation Dataset (CMEED v1.0) Published

DOI: 10.5281/zenodo.20625716
Parquet / JSON S. Varshney Open Access
A comprehensive dataset logging human errors, blunder rates, and engine evaluation metrics across thousands of chess positions. Designed to support computational chess research and cognitive fallibility modeling.

Opening Performance Database Published

DOI: 10.5281/zenodo.19307100
JSON S. Varshney Open Access
A comprehensive dataset logging opening performance analytics. Accompanied by interactive software to visualize and extract opening theory data.

Human Fallibility Database Pending DOI

External repository links pending review.
Data Files S. Varshney Active Dev
A specialized dataset mapping human error rates and cognitive fallibility across various chess positions, highlighting where players are most prone to blunders.

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Please cite the specific dataset DOI when using our data in your research.

Data Ethics: All datasets are structured to comply with analytical research standards and external repository terms.