README.md

---
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}
}
```