1 dataset found
  1. test77-2021-nov-filtered

    • kaggle.com
    Updated Feb 16, 2025
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    Arseniy Surkov (2025). test77-2021-nov-filtered [Dataset]. https://www.kaggle.com/datasets/rickonaut/test77-2021-nov-filtered
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 16, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Arseniy Surkov
    Description

    Approvers NNUE

    This dataset is used by the Approvers team's NNUE in the FIDE & Google Efficient Chess AI Challenge.

    Format

    It uses Bulletformat, a binary format that stores chess positions in 32 bytes, which the Bullet trainer uses to train the NNUE.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Arseniy Surkov (2025). test77-2021-nov-filtered [Dataset]. https://www.kaggle.com/datasets/rickonaut/test77-2021-nov-filtered
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test77-2021-nov-filtered

Dataset for the Approvers team's NNUE in the FIDE & Google Chess Competition

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Feb 16, 2025
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Arseniy Surkov
Description

Approvers NNUE

This dataset is used by the Approvers team's NNUE in the FIDE & Google Efficient Chess AI Challenge.

Format

It uses Bulletformat, a binary format that stores chess positions in 32 bytes, which the Bullet trainer uses to train the NNUE.

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