Datasets:
The dataset viewer is not available for this split.
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 matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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
- Bijection with no collisions: Feistel network zero-collision in million-sample tests → no duplicate rows, no missed slots
- Determinism: any
ican be recomputed offline and is byte-identical to the on-disk row (make_row(i)) - Checkpoint safety: sharding + manifest + out-of-bounds guard (adversarial-tested against malicious manifest scenarios)
- 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
- 双射无碰撞:Feistel 网络百万抽样零碰撞 → 无重复行、无遗漏槽位
- 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)) - 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)
- 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)
Contact
- QQ: 406218898
- WeChat: a13546076748
- Google Email: yuexiangruiyue@gmail.com
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