license: cc-by-sa-4.0
language:
- en
- fr
- de
- es
- ko
pretty_name: >-
anima default-lane SCALE-UP corpus v3 (~217 MB · wiki 100MB + persona/SNS +
carving/act/emotion/genre/code-switch · byte-vocab256)
tags:
- anima
- default-lane
- persona
- sns
- multilingual
- byte-vocab
- scale-up
- coverage-corpus
- consciousness-carving
- contemplative
- dialogue-act
- code-switch
- mid-rung
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, configs20231101.en/.fr/.de/.es/.ko— CC-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
/rowsREST, NOdatasetslib, 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 -Eof 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.jsonlsidecars, 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/wikipedia20231101), 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_kosmospointer-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.