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---
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}
}
``` |