ChessFraud is a tabular benchmark for cheating detection in online chess. It
accompanies the KDD 2026 Datasets and Benchmarks Track paper ChessFraud:
Exploring the Capabilities of Human-Aligned Models for Cheating Detection in
Online Chess.
The two configurations serve complementary roles. ChessFraud supports
evaluation against cheating observed under a controlled assistance protocol.
ChessFraud-Synth supports training and analysis using alternatives produced
by… See the full description on the dataset page:
https://huggingface.co/datasets/artemlepin/chess-fraud.
