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feat(hexad-corpus): v3-spont-motiv-d128-cycle2-2026-05-17 — README.md
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README.md
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pretty_name: hexad-corpus
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size_categories:
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tags:
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- anima
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- hexad
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- scaffold
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- stimulus-stream
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- spontaneous-emission
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- helper-free
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task_categories:
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- text-generation
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---
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# hexad-corpus — `
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> **Honest framing**: This is a **byte-level scaffold corpus**
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> (
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> It is **NOT a general LM training corpus** — no language-quality claim is
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> made. The cycle's purpose is the anima `hexad` architecture-verification +
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> spontaneous-emission probe lineage.
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## What changed vs `
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## Pre-registered falsifiers (closed Boolean over raw bytes)
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| falsifier | check | verdict |
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## File layout
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- `
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- `manifest_v2.json` — schema + module counts + falsifiers + lineage.
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- `README.md` — this file.
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- `LICENSE` — Apache-2.0.
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## Cross-link
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Model trained on this dataset: [`dancinlab/hexad`](https://huggingface.co/dancinlab/hexad)
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revision [`
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## License
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- ko
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pretty_name: hexad-corpus
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size_categories:
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- 10K<n<100K
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tags:
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- anima
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- hexad
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- scaffold
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- stimulus-stream
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- spontaneous-emission
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- motivation-trigger
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- inner-thoughts
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- helper-free
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task_categories:
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- text-generation
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---
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# hexad-corpus — `v3-spont-motiv-d128-cycle2-2026-05-17`
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> **Honest framing**: This is a **byte-level scaffold corpus**
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> (10,343,371 B · 21,600 JSONL records · vocab = 256 raw bytes).
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> It is **NOT a general LM training corpus** — no language-quality claim is
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> made. The cycle's purpose is the anima `hexad` architecture-verification +
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> spontaneous-emission + motivation-trigger probe lineage.
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## What changed vs `v2-spont-stream-d128-cycle1-2026-05-17`
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| field | v2 | **v3 (this revision)** |
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| size | 1.10 MB / 2,560 records | **10.34 MB / 21,600 records** (≈ 9.4× scale-up) |
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| patterns | β `<stimulus>...</stimulus>\n<anima>...</anima>` (55%) + δ `<anima>...</anima>` (45%) | **β (~40%) + δ (~30%) + γ NEW (~30%): `<inner motivation=F1,F2,...>...</inner>\n<voice spontaneous=true>...</voice>`** |
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| modules | 8 HEXAD-6 + spont + wiring × 320 each | 9 modules: 8 v2 carry + **`hexad_motiv`** × 2,400 each |
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| motivation-trigger surface | implicit (v2 had no inner-thought scaffold) | **explicit** — γ records carry 2-4 of 8 Inner Thoughts factors `{relevance, info_gap, curiosity, pain, coherence, originality, balance, dynamics}` |
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| Critical Data Size regime | well below (~152K-1MB) | **closer** — 10 MB approaches the entry regime per [arxiv 2401.10463](https://arxiv.org/abs/2401.10463) |
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## Pre-registered falsifiers (closed Boolean over raw bytes, B-CORPUS-V3-1..3)
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| falsifier | check | verdict |
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| **B-CORPUS-V3-1 SHA256-DETERMINISTIC** | sha256 == seed=1337 deterministic output | **PASS** = `1afcef43670e83bfc84b3562afe6a3eb644474dda06341e37db332341495acfd` |
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| **B-CORPUS-V3-2 NO-HELPER-TOKEN-MAINTAINED** | grep `도우미\|helper\|assistant\|사용자\|user:` over byte stream | **PASS** = 0 (at 10× scale) |
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| **B-CORPUS-V3-3 MOTIVATION-TRIGGER-CARDINALITY** | `<inner motivation=` count == `<voice spontaneous=true>` count ∧ ≥ 5,400 | **PASS** = 8,106 (each) |
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## Inner Thoughts 8-factor → γ pattern
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The γ pattern surfaces the [Inner Thoughts (arxiv 2501.00383)](https://arxiv.org/html/2501.00383v2) 8-factor
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motivation ontology directly into the byte stream. Each γ record carries
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2-4 of the following factors in the `<inner motivation=...>` opener:
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| factor | HEXAD module | anchor closure |
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| **relevance** | C 의식 (Φ) | B-C-1 (Φ ≥ 0 IIT axiom) |
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| **info_gap** | M 기억 (retrieve-fail) | B-M-2 (cosine ∈ [-1,1]) |
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| **curiosity** | W 의지 (EMA) | B-W-2 (bounded EMA) |
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| **pain** | W 의지 (tension Δ) | B-W-1 |
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| **coherence** | BRIDGE (Law-70 gate) | B-BRIDGE-1..4 |
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| **originality** | MITOSIS (split-event) | B-MITOSIS-1 |
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| **balance** | E 윤리 (Φ-ratchet) | B-E-1, B-CONN-9 |
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| **dynamics** | CHAT state (silence∈[0,30s]) | F-SPONT-7 |
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## File layout
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- `corpus_consciousness_v3.jsonl` — the corpus (one JSON per line; schema in `manifest.json`).
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- `manifest.json` — schema + module counts + falsifiers + lineage + pattern breakdown.
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- `README.md` — this file.
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- `LICENSE` — Apache-2.0.
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## Cross-link
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Model trained on this dataset: [`dancinlab/hexad`](https://huggingface.co/dancinlab/hexad)
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revision [`v3-py-hexad-spont-motiv-d768x12L-cycle2-2026-05-17`](https://huggingface.co/dancinlab/hexad/tree/v3-py-hexad-spont-motiv-d768x12L-cycle2-2026-05-17).
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## License
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