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pavelslab-nyu/pretrain_v1_54B

Chess Pre-to-Post — Pretraining Corpus v1 (54B) Raw tokenized pretraining data for chess models pretraining, stored as sharded NumPy arrays (shard_XXXX/raw.NNNN.npy). Format Sharded raw token arrays: shard_0000/ … shard_0005/, each containing raw.NNNN.npy files of tokenized text. Load shards with numpy.load(...) and concatenate as needed for your data loader. Citation If you use this dataset, please cite it: @article{pre2post-chess, title =… See the full description on the dataset page: https://huggingface.co/datasets/pavelslab-nyu/pretrain_v1_54B.

Author / organizationpavelslab-nyu
License (as declared)mit
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Created7 June 2026
Last updated at source20 July 2026
chesspretraininglanguage-modeling
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