Dataset Viewer
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
status: string
outputs: struct<generated_at: string, summary: struct<measured: int64, not_estimable: int64, unverified: int6 (... 1357 chars omitted)
child 0, generated_at: string
child 1, summary: struct<measured: int64, not_estimable: int64, unverified: int64, suspect_sensor: int64>
child 0, measured: int64
child 1, not_estimable: int64
child 2, unverified: int64
child 3, suspect_sensor: int64
child 2, release_summary: struct<released: int64, blocked: int64>
child 0, released: int64
child 1, blocked: int64
child 3, claims: list<item: struct<claim_id: string, claim_text: string, domain: string, subject: string, claim_state (... 282 chars omitted)
child 0, item: struct<claim_id: string, claim_text: string, domain: string, subject: string, claim_state: string, e (... 270 chars omitted)
child 0, claim_id: string
child 1, claim_text: string
child 2, domain: string
child 3, subject: string
child 4, claim_state: string
child 5, evidence: string
child 6, evidence_hash: string
child 7, origin: string
child 8, first_seen: timestamp[s]
child 9, last_seen: timestamp[s]
child 10, supersedes: string
child 11, superseded_by: null
child 12, null_model_status: string
child 13, release_status: string
child 14, signature_status: string
child 15, published_where: string
child 1
...
evidence_hash: string
child 7, origin: string
child 8, first_seen: timestamp[s]
child 9, last_seen: timestamp[s]
child 10, supersedes: string
child 11, superseded_by: null
child 12, null_model_status: string
child 13, release_status: string
child 14, signature_status: string
child 15, published_where: string
child 16, limitations: string
child 6, gate_rule: struct<allowed: list<item: string>, blocked: list<item: string>, principle: string>
child 0, allowed: list<item: string>
child 0, item: string
child 1, blocked: list<item: string>
child 0, item: string
child 2, principle: string
provenance: list<item: string>
child 0, item: string
confidence: double
window_days: int64
method: string
items: list<item: struct<title: string, url: string, severity: string, organization: string, type: string, (... 25 chars omitted)
child 0, item: struct<title: string, url: string, severity: string, organization: string, type: string, collected: (... 13 chars omitted)
child 0, title: string
child 1, url: string
child 2, severity: string
child 3, organization: string
child 4, type: string
child 5, collected: timestamp[s]
skipped: struct<forum: int64, not_agent: int64, duplicate: int64>
child 0, forum: int64
child 1, not_agent: int64
child 2, duplicate: int64
generated_at: timestamp[s]
count: int64
limits: string
to
{'status': Value('string'), 'generated_at': Value('timestamp[s]'), 'window_days': Value('int64'), 'count': Value('int64'), 'skipped': {'forum': Value('int64'), 'not_agent': Value('int64'), 'duplicate': Value('int64')}, 'method': Value('string'), 'limits': Value('string'), 'items': List({'title': Value('string'), 'url': Value('string'), 'severity': Value('string'), 'organization': Value('string'), 'type': Value('string'), 'collected': Value('timestamp[s]')})}
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
status: string
outputs: struct<generated_at: string, summary: struct<measured: int64, not_estimable: int64, unverified: int6 (... 1357 chars omitted)
child 0, generated_at: string
child 1, summary: struct<measured: int64, not_estimable: int64, unverified: int64, suspect_sensor: int64>
child 0, measured: int64
child 1, not_estimable: int64
child 2, unverified: int64
child 3, suspect_sensor: int64
child 2, release_summary: struct<released: int64, blocked: int64>
child 0, released: int64
child 1, blocked: int64
child 3, claims: list<item: struct<claim_id: string, claim_text: string, domain: string, subject: string, claim_state (... 282 chars omitted)
child 0, item: struct<claim_id: string, claim_text: string, domain: string, subject: string, claim_state: string, e (... 270 chars omitted)
child 0, claim_id: string
child 1, claim_text: string
child 2, domain: string
child 3, subject: string
child 4, claim_state: string
child 5, evidence: string
child 6, evidence_hash: string
child 7, origin: string
child 8, first_seen: timestamp[s]
child 9, last_seen: timestamp[s]
child 10, supersedes: string
child 11, superseded_by: null
child 12, null_model_status: string
child 13, release_status: string
child 14, signature_status: string
child 15, published_where: string
child 1
...
evidence_hash: string
child 7, origin: string
child 8, first_seen: timestamp[s]
child 9, last_seen: timestamp[s]
child 10, supersedes: string
child 11, superseded_by: null
child 12, null_model_status: string
child 13, release_status: string
child 14, signature_status: string
child 15, published_where: string
child 16, limitations: string
child 6, gate_rule: struct<allowed: list<item: string>, blocked: list<item: string>, principle: string>
child 0, allowed: list<item: string>
child 0, item: string
child 1, blocked: list<item: string>
child 0, item: string
child 2, principle: string
provenance: list<item: string>
child 0, item: string
confidence: double
window_days: int64
method: string
items: list<item: struct<title: string, url: string, severity: string, organization: string, type: string, (... 25 chars omitted)
child 0, item: struct<title: string, url: string, severity: string, organization: string, type: string, collected: (... 13 chars omitted)
child 0, title: string
child 1, url: string
child 2, severity: string
child 3, organization: string
child 4, type: string
child 5, collected: timestamp[s]
skipped: struct<forum: int64, not_agent: int64, duplicate: int64>
child 0, forum: int64
child 1, not_agent: int64
child 2, duplicate: int64
generated_at: timestamp[s]
count: int64
limits: string
to
{'status': Value('string'), 'generated_at': Value('timestamp[s]'), 'window_days': Value('int64'), 'count': Value('int64'), 'skipped': {'forum': Value('int64'), 'not_agent': Value('int64'), 'duplicate': Value('int64')}, 'method': Value('string'), 'limits': Value('string'), 'items': List({'title': Value('string'), 'url': Value('string'), 'severity': Value('string'), 'organization': Value('string'), 'type': Value('string'), 'collected': Value('timestamp[s]')})}
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.
PHOENIX objects - LEGION
Do not trust LEGION: verify.
Issuer continuity (v0.2)
python3 phoenix_verify2.py --keyring keyring.jsonl --pin <sha256 of the key, obtained from an independent source>
Flags: CONTENT_INTACT SIGNATURE_VALID EVIDENCE_INTACT ISSUER_KEY_PINNED KEY_REVOKED_AFTER/BEFORE_SIGNING. Rotations are signed by old and new key; revocations are append-only. signed_at is not covered by the v0.1 signature: date proof comes from the LEGION empire ledger anchoring.
pip install cryptography
python3 phoenix_verify.py
Verdicts: VALID_FULL | VALID_SIGNATURE_ONLY | INVALID. Change one character in objects/ or one byte in evidence/ -> INVALID. Released 2026-09-29T11:37:11+00:00 - 56 objects.
Key pinning
A signature only proves consistency with the bundled key. Check the key fingerprint against independent sources:
sha256(raw public key) = a7c6a35b1c2c81d589a30c2ad628679bdea9da4139d49aa3c42cdde6e1c65036
- https://huggingface.co/datasets/gemmozero/state-of-ai-infra-bulletins/blob/main/legion-receipt-key.json
- https://legion-api.com/.well-known/legion-receipt-key.json (browser or curl)
python3 -c "import json,base64,hashlib;print(hashlib.sha256(base64.b64decode(json.load(open('legion-receipt-key.json'))['key'])).hexdigest())"
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