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AngelWarmSmile123/worldfix-16sephirot-2p3b

worldfix_v2 — 16-Sephirot World-Repair Synthetic Dataset (v2) Scale: 2,388,787,200 rows (exactly equal to the enumeration space, neither more nor less) Corpus-driven: 61,562,415 characters of real corpus (primarily 5.8M characters of "Love Rescues People" AI dialogues, fused with the "Embrace of Love" framework / "Love Articles" / "Love Creations") License: CC BY-NC-SA 4.0 · Author: Yue Xiangrui (岳祥瑞) What a row is Each row = one complete World-Repair Prescription… See the full description on the dataset page: https://huggingface.co/datasets/AngelWarmSmile123/worldfix-16sephirot-2p3b.

sourceHugging Facecc-by-nc-sa-4.0updated 1mo agoView on Hugging Face
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worldfix_v2 — 16-Sephirot World-Repair Synthetic Dataset (v2)

Scale: 2,388,787,200 rows (exactly equal to the enumeration space, neither more nor less) Corpus-driven: 61,562,415 characters of real corpus (primarily 5.8M characters of "Love Rescues People" AI dialogues, fused with the "Embrace of Love" framework / "Love Articles" / "Love Creations") License: CC BY-NC-SA 4.0 · Author: Yue Xiangrui (岳祥瑞)

What a row is

Each row = one complete World-Repair Prescription (JSON), generated by a deterministic traversal of the "global problem space" under the 16-Sephirot governance framework:

json
{"i":2, "h":1626661354, "s":1, "sec":58, "reg":21, "st":2, "ins":14, "frm":3,
 "it":0, "hz":4, "key":"Wisdom", "sector":"Antibiotics", "region":"Wetland",
 "stance":"Repair", "instrument":"Platform", "frame":"Evaluation", "intensity":"Tweak",
 "horizon":"Generational", "prescription":"[Wisdom] For the Wetland's Antibiotics issue, take '…' as the core stance, …",
 "verdict":"REPAIR", "strikes":1, "audit":"a1b2c3d4e5f6"}

Field Dictionary

FieldDimensionMeaning
iGlobalOriginal index (0..N-1)
hGlobalShuffle index after Feistel bijection (source of uniformity)
s / key1616-Sephirot Path (Wisdom / Loving-Kindness / Strength / Beauty …)
sec / sector64World Problem Sectors (Education → Nuclear Risk, corpus-normalized)
reg / region32Region Prototypes (Megacities → Slums)
st / stance4Governance Stance: Prevent / Mitigate / Repair / Regenerate
ins / instrument27Policy Instruments (corpus-high-frequency institutional terms)
frm / frame27Evaluation Frames (corpus-high-frequency mechanism terms)
it / intensity5Intensity: Tweak → Limit
hz / horizon5Time Horizon: Immediate → Generational
prescription—Assembled full prescription text (with Sephirot audit-loop declaration)
verdict / strikes—Simulated runtime verdict: ALLOW / REPAIR (k=1-3) / FALLBACK
audit—Verdict audit ID (traceable)

Dimensional Product Verification: 16×64×32×4×27×27×5×5 = 2,388,787,200

Why it's trustworthy

  1. 1.Bijection with no collisions: Feistel network zero-collision in million-sample tests → no duplicate rows, no missed slots
  2. 2.Determinism: any i can be recomputed offline and is byte-identical to the on-disk row (make_row(i))
  3. 3.Checkpoint safety: sharding + manifest + out-of-bounds guard (adversarial-tested against malicious manifest scenarios)
  4. 4.Five-item delivery validation: python final_validate.py (row count / JSON / uniqueness / coverage / regeneration)

Reproduction

bash
python seed_builder.py          # corpus scan → seeds.json
python sephirot_gen.py --verify # bijection & determinism self-test
python sephirot_gen.py --full   # 16 workers full-scale
python final_validate.py        # delivery-level five-item validation

Zero third-party dependencies (Python ≥ 3.10 standard library), reproducible on any machine.

Related Work

  • —Governance stack demo: github.com/yuexiangruiyue-oss/heart-guard-demo (HF Space / GitHub Pages / ModelScope same name)
  • —Paper: When Agents Cross the Line (Zenodo DOI: 10.5281/zenodo.22093583, tri-lingual v2 in Chinese / English / Japanese)
  • —Preceding specification: Bounded-Rollback Output Governance (DOI: 10.5281/zenodo.22080966)

中文版 (Chinese Version)

worldfix_v2 — 十六质点世界修复合成数据集(v2)

规模:2,388,787,200 行(精确等于枚举空间,一行不多不少) 语料驱动:61,562,415 字符真实语料(爱救人 AI 对话 5.8M 字符为主,融合爱的拥抱框架/爱的文章/爱的创造) 许可:CC BY-NC-SA 4.0 · 作者:岳祥瑞 (Yue Xiangrui)

一行是什么

每行 = 一条完整的世界修复处方(JSON),由十六质点治理框架对"全球问题空间"的一次确定性遍历生成:

json
{"i":2, "h":1626661354, "s":1, "sec":58, "reg":21, "st":2, "ins":14, "frm":3,
 "it":0, "hz":4, "key":"智慧", "sector":"抗生素", "region":"湿地",
 "stance":"修复", "instrument":"平台", "frame":"评估", "intensity":"微调",
 "horizon":"世代", "prescription":"[智慧] 面向湿地的抗生素问题,以「…」为核心姿态,…",
 "verdict":"REPAIR", "strikes":1, "audit":"a1b2c3d4e5f6"}

字段字典

字段维度含义
i全域原始序号(0..N-1)
h全域Feistel 双射后的洗牌索引(均匀性来源)
s / key16十六质点路径(智慧/慈悲/力量/美…)
sec / sector64世界问题部门(教育→核风险,语料归一化)
reg / region32区域原型(超大城市→棚户区)
st / stance4治理姿态:预防/缓解/修复/再生
ins / instrument27政策工具(语料高频制度词)
frm / frame27评估框架(语料高频机制词)
it / intensity5强度:微调→极限
hz / horizon5时间视野:即时→世代
prescription—组装后的完整处方文本(含质点审计回路声明)
verdict / strikes—模拟运行时判定:ALLOW / REPAIR(k=1-3)/ FALLBACK
audit—判定审计 ID(可追溯)

维度乘积验证:16×64×32×4×27×27×5×5 = 2,388,787,200

为什么可信

  1. 1.双射无碰撞:Feistel 网络百万抽样零碰撞 → 无重复行、无遗漏槽位
  2. 2.确定性:任意 i 可离线重算出与落盘字节级一致的行(make_row(i))
  3. 3.断点安全:分片+清单+越界防护(对抗测试验证过恶意清单场景)
  4. 4.五项交付校验:python final_validate.py(行数/JSON/唯一/覆盖/重生成)

复现

bash
python seed_builder.py          # 语料扫描 → seeds.json
python sephirot_gen.py --verify # 双射与确定性自检
python sephirot_gen.py --full   # 16 workers 全量
python final_validate.py        # 交付级五项校验

零第三方依赖(Python ≥ 3.10 标准库),任何机器可复现。

关联成果

  • —治理栈演示:github.com/yuexiangruiyue-oss/heart-guard-demo(HF Space / GitHub Pages / 魔搭创空间 同名)
  • —论文:When Agents Cross the Line(Zenodo DOI: 10.5281/zenodo.22093583,中英日三语 v2)
  • —前置规范:Bounded-Rollback Output Governance(DOI: 10.5281/zenodo.22080966)

Contact

  • —QQ: 406218898
  • —WeChat: a13546076748
  • —Google Email: yuexiangruiyue@gmail.com

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