Thorsu/MIHA_HUNTING_Evidence
Question Answering • Updated
Datasets:
DOI:
License:
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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
run_id: string
snapshot_date: timestamp[s]
gate_status: string
notion_source_records_observed: int64
notion_claim_records_observed: int64
strict_public_source_core: int64
mature_claim_candidates_before_reference_closure: int64
reference_closed_public_claim_core: int64
claim_status_counts: struct<SUPPORTED: int64, LEGALLY_ESTABLISHED: int64>
child 0, SUPPORTED: int64
child 1, LEGALLY_ESTABLISHED: int64
review_claim_candidates: int64
family_normalization_review_records: int64
truth_boundary: string
source_core_records: int64
claim_core_records: int64
mature_claim_candidates: int64
held_for_reference_review: int64
source_family_review_records: int64
reference_closure_verified: bool
source_core_unchanged: bool
claim_core_unchanged: bool
claim_id: string
support_note: string
reproducible: bool
source_refs: list<item: string>
child 0, item: string
status: string
confidence: double
extraction_method: string
evidence_level: string
quote_fidelity_verified: bool
legal_status: string
last_verified_at: timestamp[s]
counterevidence_note: string
open_question: string
claim_type: string
claim_kind: string
claim: string
to
{'claim_id': Value('string'), 'claim': Value('string'), 'claim_kind': Value('string'), 'claim_type': Value('string'), 'status': Value('string'), 'evidence_level': Value('string'), 'confidence': Value('float64'), 'source_refs': List(Value('string')), 'support_note': Value('string'), 'counterevidence_note': Value('string'), 'open_question': Value('string'), 'reproducible': Value('bool'), 'quote_fidelity_verified': Value('bool'), 'last_verified_at': Value('timestamp[s]'), 'legal_status': Value('string'), 'extraction_method': Value('string'), 'truth_boundary': 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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
run_id: string
snapshot_date: timestamp[s]
gate_status: string
notion_source_records_observed: int64
notion_claim_records_observed: int64
strict_public_source_core: int64
mature_claim_candidates_before_reference_closure: int64
reference_closed_public_claim_core: int64
claim_status_counts: struct<SUPPORTED: int64, LEGALLY_ESTABLISHED: int64>
child 0, SUPPORTED: int64
child 1, LEGALLY_ESTABLISHED: int64
review_claim_candidates: int64
family_normalization_review_records: int64
truth_boundary: string
source_core_records: int64
claim_core_records: int64
mature_claim_candidates: int64
held_for_reference_review: int64
source_family_review_records: int64
reference_closure_verified: bool
source_core_unchanged: bool
claim_core_unchanged: bool
claim_id: string
support_note: string
reproducible: bool
source_refs: list<item: string>
child 0, item: string
status: string
confidence: double
extraction_method: string
evidence_level: string
quote_fidelity_verified: bool
legal_status: string
last_verified_at: timestamp[s]
counterevidence_note: string
open_question: string
claim_type: string
claim_kind: string
claim: string
to
{'claim_id': Value('string'), 'claim': Value('string'), 'claim_kind': Value('string'), 'claim_type': Value('string'), 'status': Value('string'), 'evidence_level': Value('string'), 'confidence': Value('float64'), 'source_refs': List(Value('string')), 'support_note': Value('string'), 'counterevidence_note': Value('string'), 'open_question': Value('string'), 'reproducible': Value('bool'), 'quote_fidelity_verified': Value('bool'), 'last_verified_at': Value('timestamp[s]'), 'legal_status': Value('string'), 'extraction_method': Value('string'), 'truth_boundary': 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.
Satoshi Evidence Ledger
A provenance-first, claim-aware public research dataset projected from a curated Notion evidence archive.
Public core snapshot — 2026-10-08 (SEL-2026-10-08-SYNC-002)
- Notion inventory observed: 733 source/entity records and 555 claims.
- Strict public source core: 141 records.
- Mature claim candidates before reference-closure: 84.
- Public claims are promoted only when every related source resolves to the exported public-source graph.
The stricter public core is intentionally smaller than the earlier 194-source / 95-claim candidate gate. A row is promoted only when required source metadata is complete and reference closure succeeds.
Model
source -> provenance -> claim -> evidence family -> dependency -> counterevidence -> verification -> revision
This is not an identity-attribution leaderboard.
Canonical editorial source
The editorial source of truth remains the Notion databases:
- Quellen- und Entitätenarchiv
- Claims & Evidence Ledger
Hugging Face is the versioned, machine-readable public projection.
Truth boundary
The dataset records public-source metadata, provenance relationships, curated claim states and verification boundaries. It does not establish the real-world identity of Satoshi Nakamoto. Archive mirrors are not treated as independent origins merely because they are hosted separately.
Rights
The Apache-2.0 license applies to the dataset structure, schemas, scripts, and original curatorial metadata contributed here. Upstream source materials remain subject to their own rights and licenses. Full third-party texts are not republished by default.
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