nodchip/shogi_hao_depth9
收藏Hugging Face2024-03-02 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/nodchip/shogi_hao_depth9
下载链接
链接失效反馈官方服务：
资源简介：
---
license: mit
---
# Summary
Training Data for Shogi AI Development
# Contents
- `kifu.tag=train.depth=9.num_positions=1000000000.start_time=??????????.thread_index=???.bin` ... Training Data
The training data are provided in the YaneuraOu PackedSfenValue format.
This dataset was generated using Hao with a search depth of 9.
The training data have **not** been shuffled. It is recommended to shuffle the training data before use. Additionally, positions within this dataset have **not** been replaced with the PV (Principal Variation) leaf node from the quiescence search of the original position. Users are advised to consider applying such modifications as needed for their specific use case.
# Links
- nodchip/tanuki-: shogi engine(AI player), stronger than Bonanza6 , educational and tiny code(about 2500 lines) , USI compliant engine , capable of being compiled by VC++2015 https://github.com/nodchip/tanuki-
提供机构：
nodchip
原始信息汇总
数据集概述
训练数据用于将棋AI开发。
内容
kifu.tag=train.depth=9.num_positions=1000000000.start_time=??????????.thread_index=???.bin... 训练数据
训练数据采用YaneuraOu PackedSfenValue格式。
该数据集使用Hao生成，搜索深度为9。
训练数据未进行洗牌。建议在使用前对训练数据进行洗牌。此外，数据集中的位置未替换为原始位置静默搜索的PV（主变体）叶节点。用户应根据具体使用情况考虑应用此类修改。
