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alexkstern/c4-nanochatbpe-10B

c4-nanochatbpe-10B C4 (en) (from allenai/c4), pre-tokenized with the nanochatbpe tokenizer (vocab 65,536) and packaged as flat uint16 token-id .bin files for fast memmap training. file split tokens train.bin train 10,000,000,000 val.bin val 168,272,017 train and val are disjoint held-out partitions. Each .bin is a raw little-endian uint16 stream (no header); token count = filesize / 2, and train.meta.json / val.meta.json carry the full metadata. The tokenizer/… See the full description on the dataset page: https://huggingface.co/datasets/alexkstern/c4-nanochatbpe-10B.

Author / organizationalexkstern
Downloads281 (as reported by Hugging Face)
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Created23 May 2026
Last updated at source23 May 2026
pretokenizedlanguage-modeling
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  • 16 Oct 2026 Description: c4-nanochatbpe-10B C4 (en) (from allenai/c4), pre-tokenized with the nanochatbpe tokenizer (vocab 65,536) and packaged as flat uint16 token-id .bin files for fast memmap training. file split tokens train.bin train 10,000,000,000 val.bin val → c4-nanochatbpe-10B C4 (en) (from allenai/c4), pre-tokenized with the nanochatbpe tokenizer (vocab 65,536) and packaged as flat uint16 token-id .bin files for fast memmap training. file split tokens train.bin train 10,000,000,000 val.bin val

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