Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
pos: int64
hi: int64
done: bool
sector: list<item: string>
  child 0, item: string
meta: struct<chars: int64, files: int64, sources: list<item: string>>
  child 0, chars: int64
  child 1, files: int64
  child 2, sources: list<item: string>
      child 0, item: string
sephirot_keys: list<item: string>
  child 0, item: string
top_terms: list<item: string>
  child 0, item: string
region: list<item: string>
  child 0, item: string
sephirot_lex: struct<爱: list<item: string>, 信任: list<item: string>, 边界: list<item: string>, 修复: list (... 351 chars omitted)
  child 0, 爱: list<item: string>
      child 0, item: string
  child 1, 信任: list<item: string>
      child 0, item: string
  child 2, 边界: list<item: string>
      child 0, item: string
  child 3, 修复: list<item: string>
      child 0, item: string
  child 4, 成长: list<item: string>
      child 0, item: string
  child 5, 连接: list<item: string>
      child 0, item: string
  child 6, 意义: list<item: string>
      child 0, item: string
  child 7, 责任: list<item: string>
      child 0, item: string
  child 8, 勇气: list<item: string>
      child 0, item: string
  child 9, 希望: list<item: string>
      child 0, item: string
  child 10, 智慧: list<item: string>
      child 0, item: string
  child 11, 慈悲: list<item: string>
      child 0, item: string
  child 12, 共生: list<item: string>
      child 0, item: string
  child 13, 秩序: list<item: string>
      child 0, item: string
  child 14, 自由: list<item: string>
      child 0, item: string
  child 15, 尊严: list<item: string>
      child 0, item: string
frame: list<item: string>
  child 0, item: string
instrument: list<item: string>
  child 0, item: string
to
{'sector': List(Value('string')), 'region': List(Value('string')), 'instrument': List(Value('string')), 'frame': List(Value('string')), 'sephirot_keys': List(Value('string')), 'sephirot_lex': {'爱': List(Value('string')), '信任': List(Value('string')), '边界': List(Value('string')), '修复': List(Value('string')), '成长': List(Value('string')), '连接': List(Value('string')), '意义': List(Value('string')), '责任': List(Value('string')), '勇气': List(Value('string')), '希望': List(Value('string')), '智慧': List(Value('string')), '慈悲': List(Value('string')), '共生': List(Value('string')), '秩序': List(Value('string')), '自由': List(Value('string')), '尊严': List(Value('string'))}, 'top_terms': List(Value('string')), 'meta': {'chars': Value('int64'), 'files': Value('int64'), 'sources': List(Value('string'))}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              pos: int64
              hi: int64
              done: bool
              sector: list<item: string>
                child 0, item: string
              meta: struct<chars: int64, files: int64, sources: list<item: string>>
                child 0, chars: int64
                child 1, files: int64
                child 2, sources: list<item: string>
                    child 0, item: string
              sephirot_keys: list<item: string>
                child 0, item: string
              top_terms: list<item: string>
                child 0, item: string
              region: list<item: string>
                child 0, item: string
              sephirot_lex: struct<爱: list<item: string>, 信任: list<item: string>, 边界: list<item: string>, 修复: list (... 351 chars omitted)
                child 0, 爱: list<item: string>
                    child 0, item: string
                child 1, 信任: list<item: string>
                    child 0, item: string
                child 2, 边界: list<item: string>
                    child 0, item: string
                child 3, 修复: list<item: string>
                    child 0, item: string
                child 4, 成长: list<item: string>
                    child 0, item: string
                child 5, 连接: list<item: string>
                    child 0, item: string
                child 6, 意义: list<item: string>
                    child 0, item: string
                child 7, 责任: list<item: string>
                    child 0, item: string
                child 8, 勇气: list<item: string>
                    child 0, item: string
                child 9, 希望: list<item: string>
                    child 0, item: string
                child 10, 智慧: list<item: string>
                    child 0, item: string
                child 11, 慈悲: list<item: string>
                    child 0, item: string
                child 12, 共生: list<item: string>
                    child 0, item: string
                child 13, 秩序: list<item: string>
                    child 0, item: string
                child 14, 自由: list<item: string>
                    child 0, item: string
                child 15, 尊严: list<item: string>
                    child 0, item: string
              frame: list<item: string>
                child 0, item: string
              instrument: list<item: string>
                child 0, item: string
              to
              {'sector': List(Value('string')), 'region': List(Value('string')), 'instrument': List(Value('string')), 'frame': List(Value('string')), 'sephirot_keys': List(Value('string')), 'sephirot_lex': {'爱': List(Value('string')), '信任': List(Value('string')), '边界': List(Value('string')), '修复': List(Value('string')), '成长': List(Value('string')), '连接': List(Value('string')), '意义': List(Value('string')), '责任': List(Value('string')), '勇气': List(Value('string')), '希望': List(Value('string')), '智慧': List(Value('string')), '慈悲': List(Value('string')), '共生': List(Value('string')), '秩序': List(Value('string')), '自由': List(Value('string')), '尊严': List(Value('string'))}, 'top_terms': List(Value('string')), 'meta': {'chars': Value('int64'), 'files': Value('int64'), 'sources': List(Value('string'))}}
              because column names don't match

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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:

{"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

Field Dimension Meaning
i Global Original index (0..N-1)
h Global Shuffle index after Feistel bijection (source of uniformity)
s / key 16 16-Sephirot Path (Wisdom / Loving-Kindness / Strength / Beauty …)
sec / sector 64 World Problem Sectors (Education → Nuclear Risk, corpus-normalized)
reg / region 32 Region Prototypes (Megacities → Slums)
st / stance 4 Governance Stance: Prevent / Mitigate / Repair / Regenerate
ins / instrument 27 Policy Instruments (corpus-high-frequency institutional terms)
frm / frame 27 Evaluation Frames (corpus-high-frequency mechanism terms)
it / intensity 5 Intensity: Tweak → Limit
hz / horizon 5 Time 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. Bijection with no collisions: Feistel network zero-collision in million-sample tests → no duplicate rows, no missed slots
  2. Determinism: any i can be recomputed offline and is byte-identical to the on-disk row (make_row(i))
  3. Checkpoint safety: sharding + manifest + out-of-bounds guard (adversarial-tested against malicious manifest scenarios)
  4. Five-item delivery validation: python final_validate.py (row count / JSON / uniqueness / coverage / regeneration)

Reproduction

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:

{"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 / key 16 十六质点路径(智慧/慈悲/力量/美…)
sec / sector 64 世界问题部门(教育→核风险,语料归一化)
reg / region 32 区域原型(超大城市→棚户区)
st / stance 4 治理姿态:预防/缓解/修复/再生
ins / instrument 27 政策工具(语料高频制度词)
frm / frame 27 评估框架(语料高频机制词)
it / intensity 5 强度:微调→极限
hz / horizon 5 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. 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. 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. 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. 五项交付校验:python final_validate.py(行数/JSON/唯一/覆盖/重生成)

复现

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)

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