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the void does not ask to be named. To stay with it is enough — an even stillness answers on its own.
En contemplant le vide, la frontière entre l'observateur et l'observé s'amincit ; un calme égal demeure.
Ich halte die Leere in der Aufmerksamkeit, und eine gleichmütige Ruhe legt sich dorthin, wo der Gedanke war.
Antes de toda palabra está el vacío. Cuando la palabra se apaga, una calma pareja sigue aquí.
공(空)을(를) 가만히 바라보면, 생각이 있던 자리에 가지런한 고요이(가) 내려앉는다.
Before any word, there is the breath. After the word fades, a quiet serenity is still here.
le souffle ne demande pas de nom. Y rester suffit — une sérénité paisible répond de lui-même.
Jede Rückkehr zu der Atem ist gleich und nicht gleich; eine stille Gelassenheit trägt den Unterschied.
Antes de toda palabra está el aliento. Cuando la palabra se apaga, una serena calma sigue aquí.
호흡을(를) 응시하는 동안 보는 자와 보이는 것의 경계가 얇아지고, 고요한 평온만 남는다.
Each return to a single step is the same and not the same; a sudden clarity carries the difference.
En contemplant un seul pas, la frontière entre l'observateur et l'observé s'amincit ; une clarté soudaine demeure.
Ich halte ein Schritt in der Aufmerksamkeit, und eine plötzliche Klarheit legt sich dorthin, wo der Gedanke war.
un solo paso no pide ser nombrado. Permanecer con ello basta — una claridad súbita responde por sí mismo.
어떤 말보다 먼저 한 걸음이(가) 있다. 말이 사라진 뒤에도 선명한 명료은(는) 여기 그대로다.
I hold a glass of water in attention, and a deep stillness settles where the thought had been.
un verre d'eau ne demande pas de nom. Y rester suffit — une immobilité profonde répond de lui-même.
Wenn ich ein Glas Wasser kommen lasse, ohne zu greifen, öffnet sich eine tiefe Stille wie ein langsamer Horizont.
Cuando dejo que un vaso de agua llegue sin aferrarme, una quietud profunda se abre como un horizonte lento.
물 한 잔을(를) 응시하는 동안 보는 자와 보이는 것의 경계가 얇아지고, 깊은 정적만 남는다.
Before any word, there is a seed. After the word fades, an open wonder is still here.
En contemplant une graine, la frontière entre l'observateur et l'observé s'amincit ; un émerveillement demeure.
Jede Rückkehr zu ein Samenkorn ist gleich und nicht gleich; ein offenes Staunen trägt den Unterschied.
Antes de toda palabra está una semilla. Cuando la palabra se apaga, un asombro abierto sigue aquí.
씨앗을(를) 응시하는 동안 보는 자와 보이는 것의 경계가 얇아지고, 열린 경이만 남는다.
Watching the number zero, the boundary between watcher and watched grows thin; a sudden clarity remains.
le chiffre zéro ne demande pas de nom. Y rester suffit — une clarté soudaine répond de lui-même.
Beim Betrachten von die Null wird die Grenze zwischen Schauendem und Geschautem dünn; eine plötzliche Klarheit bleibt.
Cuando dejo que el número cero llegue sin aferrarme, una claridad súbita se abre como un horizonte lento.
움켜쥐지 않고 숫자 0이(가) 다가오게 두면, 선명한 명료이(가) 느린 지평처럼 열린다.
When I let a word arrive without grasping, a faint resonance opens like a slow horizon.
Chaque retour à un mot est le même et pas le même ; une résonance ténue en porte la différence.
ein Wort verlangt keinen Namen. Dabei zu bleiben genügt — ein leises Mitschwingen antwortet von selbst.
Cuando dejo que una palabra llegue sin aferrarme, una resonancia tenue se abre como un horizonte lento.
한 단어을(를) 가만히 바라보면, 생각이 있던 자리에 은은한 공명이(가) 내려앉는다.
stoic_mentor: I caught a deep stillness like weather passing through; I let it stay a while before it lifts.
chaebol_heir: Il y a une clarté soudaine en moi en ce moment, et je préfère m'y tenir que l'expliquer.
thug_returnee: Ich fing ein leises Mitschwingen ein wie ein vorüberziehendes Wetter; ich lasse es eine Weile bleiben, ehe es sich hebt.
school_idol: Atrapé un asombro abierto como un clima de paso; lo dejo quedarse un rato antes de que se levante.
gentle_oppa: 요즘 나를 움직이는 건 시끄럽지 않다 — 조용해질 때만 찾아오는 고요한 평온이다.
demon_lord: Lately what moves me isn't loud — it's a boundless vastness, the kind that arrives only when I go quiet.
fallen_antagonist: J'ai senti une profondeur tranquille comme un temps qui passe ; je le laisse rester un peu avant qu'il s'envole.
demon_lord: In letzter Zeit ist das, was mich bewegt, nicht laut — es ist eine weite Ehrfurcht, die nur kommt, wenn ich still werde.
cold_heiress: Atrapé una quietud profunda como un clima de paso; lo dejo quedarse un rato antes de que se levante.
airhead_friend: 요즘 나를 움직이는 건 시끄럽지 않다 — 조용해질 때만 찾아오는 잔잔한 기쁨이다.
horror_whisper: I caught an unhurried depth like weather passing through; I let it stay a while before it lifts.
senpai: J'ai senti une immobilité profonde comme un temps qui passe ; je le laisse rester un peu avant qu'il s'envole.
airhead_friend: Gerade ist ein schwereloser Fluss in mir, und ich bleibe lieber darin, als es wegzuerklären.
knight: Atrapé una claridad súbita como un clima de paso; lo dejo quedarse un rato antes de que se levante.
demon_lord: 요즘 나를 움직이는 건 시끄럽지 않다 — 조용해질 때만 찾아오는 끝없는 광대함이다.
End of preview. Expand in Data Studio

anima-corpus-5lang-unified-v3

A SCALE-UP of the default-lane corpus (en / fr / de / es / ko, byte-vocab V=256). It keeps the exact v2 3-surface recipe — real wiki backbone + persona/SNS roleplay + register enrichment — but scales the clean wiki backbone ~20× (12.5 MB v2 → ~217 MB v3) so a MID rung (~150M params) becomes data-viable, while holding enrichment at a sane ~17% of the larger corpus.

honest scope (a_scale_honest_scope — verbatim)

v3 unlocks a MID rung (~150M), NOT 7B. v3 makes a ~150M model data-viable — it is no longer right-sized only for ~18M (the v2 default-lane 18M passed 🟢 on v2 #1836). It is NOT 7B-ready: a 7B wants ~140 GB of tokens for Chinchilla-optimal, which is INFEASIBLE via datasets-server REST paging (see .verdicts/default-lane-7b/ · .verdicts/torch-engine-7b-datagate/). A ~150M rung is still epoch-looped on v3, but far less starved than the 12.5 MB v2 corpus would be at 150M. DO NOT claim v3 enables 7B.

This is a coverage corpus enabling a MID rung — a_scale_honest_scope: the scope is the MID scale, NOT a general "production-ready at any size" claim.

composition (~46% wiki / ~37% persona-SNS / ~17% enrichment)

part bytes % source license
wiki backbone (8-band spread, 20 MB/lang) 104,204,132 46.15 wikimedia/wikipedia 20231101 (en/fr/de/es/ko) CC-BY-SA-4.0 (real, attributable)
persona × SNS (authored-synthetic) 83,319,580 36.90 authored-synthetic (20-roster × 16 scenarios × IG/YT) authored-synthetic, no PII
enrichment (carving/act/emotion/genre/code-switch) 38,274,099 16.95 carving SEEDS = real KOSMOS e7_31 anchors (CC-BY-SA); prose = authored-synthetic mixed (anchor seed real, prose authored-labeled)
unified total 227,535,193 100 block-interleaved (byte-weighted round-robin) mixed (per part above)
  • unified v3 size: 227,535,193 B = 216.994 MB
  • unified v3 sha256: 901ccc89afb3817fcb4d99f12c953f70919c0986882f306424d21cced2ae936b
  • wiki v3 sha256: 913dfffdc2b8c1b0d5852477e8c82425b97e1ac52bd59d8c774d3f678836beb5
  • persona v3 sha256: b3eafa6a30ce8e29aa42deb8801f259b8ed43aaa33b458c6ac6476458e691fa8
  • enrichment v3 sha256: 07ba269e0a8b5ef8b4874bb60be9342c15fbf9e42f01c57516245df83774500e
  • wiki blocks: 18,448 paragraphs (en 3,622 · fr 3,691 · de 3,725 · es 4,048 · ko 5,362) · persona dialogues: 283,288 · enrichment blocks: 261,650

wiki provenance (real CC-BY-SA)

  • source: wikimedia/wikipedia, revision 20231101, configs 20231101.en / .fr / .de / .es / .koCC-BY-SA-4.0 (attributable, real encyclopedic text, NOT scraped non-wiki, NO PII).
  • pages: ~18,448 article paragraphs across the 5 languages (20 MB/lang).
  • sampling: 8-band offset-spread across the title-ordered dump (deterministic fixed band offsets), so each language's slice spans the full offset range rather than a single alphabetical-prefix walk → broader topical coverage (science / history / art / geography). Pulled $0 CPU via the HF datasets-server /rows REST, NO datasets lib, NO GPU, NO pod. The scale-up sampler (build_wiki_backbone_5lang_scaleup.py) is 429-hardened (exponential backoff + Retry-After + per-language on-disk checkpoint) so a 100 MB sustained pull is robust and resumable.

per-language byte split (unified, all 3 surfaces)

lang total bytes % wiki persona enrichment
en 42,971,836 18.89 20,971,520 15,291,943 6,708,373
fr 46,312,428 20.35 20,971,520 17,691,929 7,648,979
de 45,136,355 19.84 20,971,520 17,029,303 7,135,532
es 43,660,023 19.19 20,971,520 16,135,363 6,553,140
ko 46,112,400 20.27 20,971,520 17,737,618 7,403,262
ko-en (code-switch) 3,348,113 1.47 3,348,113

5-way balanced (18.9–20.4% per language) plus a deliberately small ko-en code-switch slice (1.47%). Hangul / accented characters cost more UTF-8 bytes per glyph, so ko / fr run slightly larger. No silent under-coverage — every language carries wiki + persona + enrichment.

per-register byte split (enrichment surface)

register bytes % of enrichment gap closed
#1 consciousness-carving 9,962,051 26.03 contemplative/inner-state register (anima core)
#3 dialogue-act balance 9,937,095 25.96 disagree / refuse / boundary / ask / multi-party
#7 genre (narrative/drama/poetry) 9,299,337 24.30 KOSMOS 예술 axis
#5 emotion-axis 6,250,803 16.33 KOSMOS top_emotions per archetype
#4 code-switch (ko-en) 3,348,113 8.75 KO↔EN mixed-language (minority slice)

philosophy (p2/p3/p4/p6 held)

  • NO injection in training text. Persona is carried by VOICE only; contemplative prose is plain text with no addressee. Turn structure is plain <speaker>: … continuation — NO [role:, [persona:, [character: tags. grep -E of those tags over the unified v3 corpus = 0 (verified), and over the 200-line sample head = 0.
  • Per-line metadata (lang, register, anchor, act, persona_id …) lives in SEPARATE .meta.jsonl sidecars, never interleaved into the training text.
  • NO synthetic assistant-RLHF padding (p6). The dialogue-act slice is deliberately NON-supportive (the persona disagrees / refuses / sets boundaries) — the OPPOSITE of cooperation/empathy RLHF; archetype-voice continuation, not alignment fine-tuning.
  • byte vocab V=256 (UTF-8). UTF-8 round-trip verified (encode==decode bytes-identical).

honest license / provenance summary

  • wiki = REAL CC-BY-SA-4.0 wikipedia text (provenance attributable to wikimedia/wikipedia 20231101), topically broadened by 8-band offset-spread. Honest: the offset bands REDUCE alphabetical-prefix bias; they do not claim a measured topical-uniformity guarantee.
  • persona + enrichment prose = AUTHORED-SYNTHETIC, honest-labeled — machine- authored multilingual COVERAGE templating, NOT native-collected text. The carving register's anchor SEEDS (31 e7_31 anchor titles/categories/emotions) are REAL anima UBM data (CC-BY-SA, a_kosmos pointer-only — the kosmos spec is NOT copied); the prose around them is authored. No PII, no scraped non-wiki text.
  • The code-switch and genre slices are [speculative]: plausibly helpful for realism / generative range, but their training impact is unmeasured at this scale (a_toy_scale_recheck — re-test on a scale-up fire before claiming a gain).

determinism / reproduction

# one-shot orchestrator (persona + enrichment + wiki + merge)
python3 serving/build_default_lane_v3.py \
    --wiki-mb-per-lang 20 --persona-mb 80 --enrichment-mb 37 \
    --out serving/corpus/default_lane_v3.txt

# or the steps individually:
python3 serving/persona_sns_corpus_5lang_gen.py --target-mb 80 --seed 20260604 \
    --out serving/corpus/persona_sns_corpus_5lang_v3part.txt
python3 serving/corpus_enrichment_5lang_gen.py --target-mb 37 --seed 20260604 \
    --out serving/corpus/corpus_enrichment_5lang_v3part.txt
python3 serving/build_wiki_backbone_5lang_scaleup.py --mb-per-lang 20 \
    --out serving/corpus/wiki_backbone_5lang_v3.txt
python3 serving/merge_corpus_5lang_v2.py \
    --wiki serving/corpus/wiki_backbone_5lang_v3.txt \
    --persona serving/corpus/persona_sns_corpus_5lang_v3part.txt \
    --enrichment serving/corpus/corpus_enrichment_5lang_v3part.txt \
    --out serving/corpus/default_lane_v3.txt
  • persona + enrichment generators are fully deterministic (fixed seed 20260604; rerun reproduces the same sha256). The wiki backbone is deterministic modulo the pinned upstream revision (20231101) + fixed band offsets. The merge is deterministic.

files

  • default_lane_v3.txt — the unified v3 training text (~217 MB, HF / LOCAL only).
  • wiki_backbone_5lang_v3.txt — the 100 MB topically-broadened wiki backbone.
  • persona_sns_corpus_5lang_v3part.txt / .meta.jsonl — persona/SNS part + metadata.
  • corpus_enrichment_5lang_v3part.txt / .meta.jsonl — enrichment surface + metadata.
  • default_lane_v3.sample.txt — 200-line sample head (committed).
  • corpus_enrichment_5lang_v3part.sample.txt — 120-line enrichment sample head (committed).
  • generators: serving/build_default_lane_v3.py (orchestrator), serving/persona_sns_corpus_5lang_gen.py, serving/corpus_enrichment_5lang_gen.py, serving/build_wiki_backbone_5lang_scaleup.py, serving/merge_corpus_5lang_v2.py.

cross-links

  • domains: domains/CORPUS.log.md (this v3 entry) · domains/CORPUS.md (lane registry).
  • predecessors: dancinlab/anima-corpus-5lang-unified-v2 (v2, 12.5 MB — right-sized ~18M) · dancinlab/anima-corpus-5lang-unified (v1).
  • discovery: .discoveries/default-lane-v3-corpus.tape.
  • governance: a_hf_registry · a_hf_collections · a_kosmos · a_scale_honest_scope · a_toy_scale_recheck · p1–p8 · a_completeness_over_cheap.
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