chess-datasets / README.md
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---
license: mit
---
# Datasets used in 'Verification of the Implicit World Model in a Generative Model via Adversarial Sequences' (ICLR 2026).
This repo contains 6 datasets of chess games in the UCI notation that were used in the experiments of the paper.
The `vocab` folder contains the vocabulary used in our language modeling tasks.
## Links
Paper links:
arXiv: [https://arxiv.org/abs/2602.05903](https://arxiv.org/abs/2602.05903)
HuggingFace: [https://huggingface.co/papers/2602.05903](https://huggingface.co/papers/2602.05903)
All corresponding code and links to further resources are available at [https://github.com/szegedai/world-model-verification](https://github.com/szegedai/world-model-verification)
## Citation
If you use our code, models, or datasets, please cite the following:
```
@inproceedings{
balogh2026verification,
title={Verification of the Implicit World Model in a Generative Model via Adversarial Sequences},
author={Andr{\'a}s Balogh and M{\'a}rk Jelasity},
booktitle={The Fourteenth International Conference on Learning Representations},
year={2026},
url={https://openreview.net/forum?id=BLOIB8CwBI}
}
```