| # Composition, measured
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|
|
| Numbers below are **text bytes after cleaning**, not file sizes (JSONL adds
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| ~10 % of metadata). The final mix is produced by `build`, which applies
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| deduplication and the quotas; the "fetched" column is the pool it draws from.
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|
|
| ## Fetched pool
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|
|
| | | EN | RU | total |
|
| |---|---:|---:|---:|
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| | text | 4.9 GB | 2.4 GB | **7.3 GB** |
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| | documents | 690k | 105k | **795k** |
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|
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| At the measured 3.34 bytes/token on the 8K bilingual BPE this is ≈ 2.15B
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| tokens before dedup and quota selection.
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|
|
| ## By domain
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|
|
| | domain | fetched share | notes |
|
| |---|---:|---|
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| | mathematics | 26 % | OpenWebMath is the bulk; Wikipedia math adds definitions |
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| | science | 22 % | arXiv full text dominates; cosmology curated separately |
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| | encyclopedic | 16 % | Wikipedia EN/RU |
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| | code | 14 % | CodeParrot Clean + CPython stdlib |
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| | literature | 11 % | Gutenberg novels, Russian classics from Wikisource |
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| | ML | 5 % | arXiv abstracts, textbooks, framework docs |
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| | logic | 2 % | Lean mathlib proofs + Wikipedia logic |
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| | CS / engineering | 3 % | curated Wikipedia categories (chips, VLSI, XP, agile) |
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| | humour | <1 % | Gutenberg satire, transcripts |
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| | identity | <0.1 % | synthetic, 800 plain + 850 pastiche per language, no numeric facts |
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|
|
| ## Language ratio
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|
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| 60/40 **by bytes** is the contract. Because Cyrillic costs ~1.8× more bytes per
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| character, the same split is ≈ 55/45 by bytes but only ≈ 33 % Russian by
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| tokens with the 8K BPE. Both numbers are reported in `tokenizer_meta.json`;
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| the byte contract is the stable one, the token share depends on the tokenizer.
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|
|
| ## Shortfalls (kept visible)
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|
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| * **logic** — 10 % quota, ~2 % realised. Formal proofs exist (mathlib), but
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| general logic prose is thin.
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| * **ML** — 12 % quota, ~5 % realised. arXiv abstracts are high quality but
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| short; textbooks are paywalled.
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| * **humour** — 1 % quota, ~1.5 MB realised. Public-domain satire and dialogue
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| are small by nature.
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| * **Russian code** — the code quota is filled with English source; Russian
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| code comments are not a coherent corpus of their own.
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|
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| The mixer emits these as `shortfalls` in `corpus_report.json` rather than
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| padding the quota with mislabelled text.
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|
|
| ## Dedup and held-out
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|
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| * MinHash, 64 permutations, 5-shingles, Jaccard threshold 0.8.
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| * Held-out: 2 % of each (language, domain) bucket, at most one document
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| boundary of overshoot.
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| * Buckets under 5 MB (identity, rare slices) are **not** split, so they stay in
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| training in full.
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|
|
