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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
concept_id: string
name_zh: string
name_en: string
definition: string
aliases: list<item: string>
  child 0, item: string
source_refs: list<item: struct<source_path: string, paragraph: int64, excerpt: string>>
  child 0, item: struct<source_path: string, paragraph: int64, excerpt: string>
      child 0, source_path: string
      child 1, paragraph: int64
      child 2, excerpt: string
confusions: list<item: string>
  child 0, item: string
status: string
conclusions: list<item: string>
  child 0, item: string
rule_ids: list<item: string>
  child 0, item: string
decision_refs: list<item: string>
  child 0, item: string
questions: list<item: string>
  child 0, item: string
answer: string
version: string
scope_notes: list<item: string>
  child 0, item: string
answer_id: string
to
{'answer_id': Value('string'), 'questions': List(Value('string')), 'answer': Value('string'), 'source_refs': List({'source_path': Value('string'), 'paragraph': Value('int64'), 'excerpt': Value('string')}), 'rule_ids': List(Value('string')), 'scope_notes': List(Value('string')), 'version': Value('string'), 'status': Value('string'), 'decision_refs': List(Value('string'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              concept_id: string
              name_zh: string
              name_en: string
              definition: string
              aliases: list<item: string>
                child 0, item: string
              source_refs: list<item: struct<source_path: string, paragraph: int64, excerpt: string>>
                child 0, item: struct<source_path: string, paragraph: int64, excerpt: string>
                    child 0, source_path: string
                    child 1, paragraph: int64
                    child 2, excerpt: string
              confusions: list<item: string>
                child 0, item: string
              status: string
              conclusions: list<item: string>
                child 0, item: string
              rule_ids: list<item: string>
                child 0, item: string
              decision_refs: list<item: string>
                child 0, item: string
              questions: list<item: string>
                child 0, item: string
              answer: string
              version: string
              scope_notes: list<item: string>
                child 0, item: string
              answer_id: string
              to
              {'answer_id': Value('string'), 'questions': List(Value('string')), 'answer': Value('string'), 'source_refs': List({'source_path': Value('string'), 'paragraph': Value('int64'), 'excerpt': Value('string')}), 'rule_ids': List(Value('string')), 'scope_notes': List(Value('string')), 'version': Value('string'), 'status': Value('string'), 'decision_refs': List(Value('string'))}
              because column names don't match

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PoL2 Structured Governance Knowledge

Publisher: NaturalDAO
Source: NaturalDAO/NaturalDAO, fixed source commit c70227fbc13b64f189c54efe2d45f2d77bc3babf
Language: Chinese (zh)
License: Proof of Love2; see the source repository and LICENSE-NOTICE.md.

Dataset description

This dataset is a structured, derived knowledge package for the Proof of Love2 (PoL2) governance framework. It organizes concepts, propositions, relations, interpretations, rule mappings, answers, and retrieval metadata with references to the fixed source baseline. It is intended for research, retrieval, and development of PoL2-aware governance tools.

This is not a benchmark of model performance, a set of human-validated universal safety labels, or a substitute for the source texts. Some entries are explicitly marked as candidates, open questions, or approved service-boundary interpretations. Consult each record's status and provenance before use.

Files

  • answers.jsonl: structured answer material.
  • concepts.jsonl: concepts and definitions.
  • interpretations.jsonl: interpretations and their provenance/status.
  • love-languages.jsonl: structured Love2 language entries.
  • propositions.jsonl: propositions.
  • relations.jsonl: relations among knowledge items.
  • rule-mapping.jsonl: operational rule mappings and source references.
  • chapter-coverage.csv: chapter coverage mapping.
  • source-manifest.json: source files, fixed commit, URLs, and checksums.
  • source-inventory.md, theory-overview.md, theory-coverage.md: human-readable provenance and coverage notes.
  • boundary-decisions-approved.md: approved service-boundary interpretations; distinguish these from source theory.
  • open-questions.md: unresolved questions.
  • retrieval-aliases.json, retrieval-config.json: retrieval metadata.

Provenance and limitations

The source manifest pins the upstream repository commit and records hashes for source files. The package is derived from that source baseline; it does not include the original source archive. Source references should be checked against the cited commit. The material reflects a particular version and interpretation and may change in later revisions.

The dataset does not establish that a governance rule is legally binding, empirically effective, or suitable for autonomous high-impact decisions. Human review is required for consequential use.

Usage

Files are UTF-8. JSONL files contain one JSON object per line; CSV uses a header row. Check the individual record status and source references. The dataset is published under the Proof of Love2 terms; do not infer MIT or a permissive open-data license from the service code license.

Citation

NaturalDAO. PoL2 Structured Governance Knowledge. Hugging Face Datasets, version 1.0.0. Source baseline: c70227fbc13b64f189c54efe2d45f2d77bc3babf.

Contact

Use the issue/discussion tab of this dataset repository for provenance or schema questions.

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