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README.md
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@@ -22,10 +22,24 @@ Part of the anima production chat corpus = **2 languages (ko·en) × 2 registers
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## composition (language-verified)
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- **language purity:** 97.4% en (re-audited; non-target lines dropped)
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- **size:** 1.33 MB · 6862 lines
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- **source:** 5lang-split en-SNS (clean en lines only)
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- **cleaning:** per-line language classification (script + stopword), de/es/fr/ja/zh
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dropped, exact-duplicate dedup, broken/short-line drop
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## sha256
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```
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49f347c72416aad24d9b16dd9b406173c6d8bb764026381e52f6e36bc5b05f70 anima-corpus-en-sns.txt
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@@ -39,7 +53,7 @@ Part of the anima production chat corpus = **2 languages (ko·en) × 2 registers
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| anima-corpus-ko-sns | ko | SNS |
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| anima-corpus-en-sns | en | SNS |
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⚠️ **KNOWN-SMALL BASELINE** — clean en-SNS is only 1.33MB (no permissive large en-SNS source exists on HF). Use size-proportional sampling so this cell is NOT memorized. youtube/insta-en augmentation is a tracked follow-up (a_chat_registers SNS register completion).
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## why this rebuild
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The prior "en" cells were silently 5lang mixtures (only ~20% en — de/es/fr/ko
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## composition (language-verified)
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- **language purity:** 97.4% en (re-audited; non-target lines dropped)
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- **size:** 1.33 MB · 6862 lines
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- **cleaning:** per-line language classification (script + stopword), de/es/fr/ja/zh
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dropped, exact-duplicate dedup, broken/short-line drop
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## language audit (provenance)
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the legacy en-SNS candidate (persona_sns_corpus_5lang_v2) was only **18.7% en** by bytes (ko 21.8% · es 18.8% · fr 16.2% · de 13.9%) — a 5lang mixture. Split to en-only lines + deduped (~115K duplicate lines removed across the SNS split) → **97.4% en** (2.3% residual = short captions/hashtags, not other languages).
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Method: script/charset + stopword-fingerprint per-line classifier (torch-free,
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deterministic). Audit tool + reproduce script: `state/clm303_clean_corpus/`
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(`langaudit.py` measures composition, `build_corpus.py` rebuilds this cell).
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*(Measured by the anima clm303-retrain build, 2026-06-24; cross-referenced by the
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governance rule `a_chat_registers` as the precedent that mandates per-cell language
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verification.)*
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## sources (repo · license)
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| source | license |
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|--------|---------|
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| anima persona_sns_corpus_5lang_v2 (en lines only) | MIT |
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## sha256
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```
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49f347c72416aad24d9b16dd9b406173c6d8bb764026381e52f6e36bc5b05f70 anima-corpus-en-sns.txt
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| anima-corpus-ko-sns | ko | SNS |
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| anima-corpus-en-sns | en | SNS |
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⚠️ **KNOWN-SMALL BASELINE** — clean en-SNS is only 1.33MB (no permissive large en-SNS source exists on HF: daily_dialog/empathetic_dialogues are non-commercial, REDDIT_comments is unlicensed). Use size-proportional sampling so this cell is NOT memorized. youtube/insta-en augmentation is a tracked follow-up (a_chat_registers SNS register completion).
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## why this rebuild
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The prior "en" cells were silently 5lang mixtures (only ~20% en — de/es/fr/ko
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