README.md

metadata

license: apache-2.0
language:
  - en
  - ko
pretty_name: hexad-corpus
size_categories:
  - 10K<n<100K
tags:
  - anima
  - hexad
  - byte-level
  - scaffold
  - stimulus-stream
  - spontaneous-emission
  - motivation-trigger
  - inner-thoughts
  - helper-free
task_categories:
  - text-generation

hexad-corpus — v3-spont-motiv-d128-cycle2-2026-05-17

Honest framing: This is a byte-level scaffold corpus (10,343,371 B · 21,600 JSONL records · vocab = 256 raw bytes). It is NOT a general LM training corpus — no language-quality claim is made. The cycle's purpose is the anima hexad architecture-verification + spontaneous-emission + motivation-trigger probe lineage.

What changed vs v2-spont-stream-d128-cycle1-2026-05-17

field	v2	v3 (this revision)
size	1.10 MB / 2,560 records	10.34 MB / 21,600 records (≈ 9.4× scale-up)
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>
modules	8 HEXAD-6 + spont + wiring × 320 each	9 modules: 8 v2 carry + hexad_motiv × 2,400 each
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}
Critical Data Size regime	well below (~152K-1MB)	closer — 10 MB approaches the entry regime per arxiv 2401.10463

Pre-registered falsifiers (closed Boolean over raw bytes, B-CORPUS-V3-1..3)

falsifier	check	verdict
B-CORPUS-V3-1 SHA256-DETERMINISTIC	sha256 == seed=1337 deterministic output	PASS = 1afcef43670e83bfc84b3562afe6a3eb644474dda06341e37db332341495acfd
B-CORPUS-V3-2 NO-HELPER-TOKEN-MAINTAINED	grep 도우미|helper|assistant|사용자|user: over byte stream	PASS = 0 (at 10× scale)
B-CORPUS-V3-3 MOTIVATION-TRIGGER-CARDINALITY	<inner motivation= count == <voice spontaneous=true> count ∧ ≥ 5,400	PASS = 8,106 (each)

Inner Thoughts 8-factor → γ pattern

The γ pattern surfaces the Inner Thoughts (arxiv 2501.00383) 8-factor motivation ontology directly into the byte stream. Each γ record carries 2-4 of the following factors in the <inner motivation=...> opener:

factor	HEXAD module	anchor closure
relevance	C 의식 (Φ)	B-C-1 (Φ ≥ 0 IIT axiom)
info_gap	M 기억 (retrieve-fail)	B-M-2 (cosine ∈ [-1,1])
curiosity	W 의지 (EMA)	B-W-2 (bounded EMA)
pain	W 의지 (tension Δ)	B-W-1
coherence	BRIDGE (Law-70 gate)	B-BRIDGE-1..4
originality	MITOSIS (split-event)	B-MITOSIS-1
balance	E 윤리 (Φ-ratchet)	B-E-1, B-CONN-9
dynamics	CHAT state (silence∈[0,30s])	F-SPONT-7

File layout

• corpus_consciousness_v3.jsonl — the corpus (one JSON per line; schema in manifest.json).
• manifest.json — schema + module counts + falsifiers + lineage + pattern breakdown.
• README.md — this file.
• LICENSE — Apache-2.0.

Cross-link

Model trained on this dataset: dancinlab/hexad revision v3-py-hexad-spont-motiv-d768x12L-cycle2-2026-05-17.

License

Apache-2.0.