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End of preview. Expand in Data Studio
mathamagical-3b-data
3.00B tokens, 5,859,371 blocks of 512 tokens (uint16 ids, vocab 276): 50% synthetic arithmetic in four evidence families (direct_spec scratchpad / verbal / code with computed values / primitive) + 50% FineWeb-Edu sample-10BT (byte-level, digits atomic).
Spec: B.2 wide+ : starts 0-2999, mult 2-12, addsub 1-99, value<=99999. Distinct programs per family: 300,000. Reuse by family: code 3.9x, direct_spec 4.0x, primitive 3.9x, verbal 4.0x. Held out: held_out_add_mul_v3.jsonl (200 ADD->MULTIPLY problems, never trained in any operator order).
generation/ holds the exact code + tokenizer that produced (and decodes)
the tokens; record_ids maps synthetic blocks to programs.
Rebuild deterministically: modal_app.py --phase build --variant cap3 --model-size 150m --total-tokens 3000000000 --target-reuse 4.0 in the project repo,
https://github.com/HCAI-Lab-GT/mathamagical.
Mixture sha256 a89b47ec98ffeacd2b5f84c863ee7082b05dd0c3f537dddf2b5142c6cf3cb63c.
Models trained on this data: https://huggingface.co/leejason2025/mathamagical-checkpoints Web text under ODC-By (FineWeb-Edu).
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