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DCLM-baseline 1.0, tokenized with GPT-2 (yam)
DCLM-baseline 1.0 (Li et al., DataComp-LM, 2024; CC-BY-4.0), via its parquet copy mlfoundations/dclm-baseline-1.0-parquet: Common Crawl web text filtered with a fastText quality classifier. This is a sample: whole parquet files picked in seeded random order (list in source_files.json). Please credit the original dataset when using this data.
- Format: uint16 little-endian GPT-2 tokens, no header;
<|endoftext|>precedes each document. - Train: 1,200,000,000 tokens in 12 shards (
train_*.bin); validation: 10,000,000 tokens (val_000000.bin, the first documents of the sample).
Per-shard token counts are in meta.json.
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