---
dataset_info:
  features:
  - name: state
    dtype: string
  - name: action
    dtype: string
  - name: future
    dtype: string
  splits:
  - name: train
    num_bytes: 184646417
    num_examples: 659576
  - name: test
    num_bytes: 5755726
    num_examples: 62561
  download_size: 52539213
  dataset_size: 190402143
license: apache-2.0
---
# Dataset Card for "chess10k"
## Dataset Details
This is a chess dataset created in the paper ["Implicit Search via Discrete Diffusion: A Study on Chess"](https://arxiv.org/abs/2502.19805).

`chess10k` contains 10k games from [Lichess](https://lichess.org/) and the actions are reannotated by [Stockfish 16](https://stockfishchess.org/).

The datasets contains three fields:
- `state`: the board state, which is represented in a FEN-like format.
- `action`: the best action, which is suggested by Stockfish 16 at the above state.
- `future`: the best future trajectory, which is suggested by Stockfish 16 followed by the above action.

## Citation
```
@article{ye2025implicit,
  title={Implicit Search via Discrete Diffusion: A Study on Chess},
  author={Ye, Jiacheng and Wu, Zhenyu and Gao, Jiahui and Wu, Zhiyong and Jiang, Xin and Li, Zhenguo and Kong, Lingpeng},
  journal={arXiv preprint arXiv:2502.19805},
  year={2025}
}
```