juliannunezb/crisp-165b

Crisp-165B 🧼 A crisp, aggressively-cleaned 165-billion-token English pretraining corpus — pre-tokenized (GPT-2 BPE), document-aware, near-deduplicated, benchmark-decontaminated, and nested-sampleable: take the first N tokens for any budget and you get a faithful mini-version of the whole thing. Built to train language models from ~0.3B to ~3B parameters (1× to 100× Chinchilla) without ever touching a data pipeline. Just memmap and train. Crisp-165B is the successor to… See the full description on the dataset page: https://huggingface.co/datasets/juliannunezb/crisp-165b.

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