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
generated_at: timestamp[s]
window_days: int64
count: int64
skipped: struct<forum: int64, not_agent: int64, duplicate: int64>
child 0, forum: int64
child 1, not_agent: int64
child 2, duplicate: int64
method: string
limits: 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]
rule: string
reports: list<item: struct<db: string, exists: bool, tables: struct<deals: struct<rows: int64, classification (... 144 chars omitted)
child 0, item: struct<db: string, exists: bool, tables: struct<deals: struct<rows: int64, classification: string>, (... 132 chars omitted)
child 0, db: string
child 1, exists: bool
child 2, tables: struct<deals: struct<rows: int64, classification: string>, entries: struct<rows: int64, classificati (... 90 chars omitted)
child 0, deals: struct<rows: int64, classification: string>
child 0, rows: int64
child 1, classification: string
child 1, entries: struct<rows: int64, classification: string, exposure_policy: string>
child 0, rows: int64
child 1, classification: string
child 2, exposure_policy: string
child 2, talent: struct<rows: int64, classification: string>
child 0, rows: int64
child 1, classification: string
to
{'status': Value('string'), 'generated_at': Value('string'), 'rule': Value('string'), 'reports': List({'db': Value('string'), 'exists': Value('bool'), 'tables': {'deals': {'rows': Value('int64'), 'classification': Value('string')}, 'entries': {'rows': Value('int64'), 'classification': Value('string'), 'exposure_policy': Value('string')}, 'talent': {'rows': Value('int64'), 'classification': 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
status: string
generated_at: timestamp[s]
window_days: int64
count: int64
skipped: struct<forum: int64, not_agent: int64, duplicate: int64>
child 0, forum: int64
child 1, not_agent: int64
child 2, duplicate: int64
method: string
limits: 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]
rule: string
reports: list<item: struct<db: string, exists: bool, tables: struct<deals: struct<rows: int64, classification (... 144 chars omitted)
child 0, item: struct<db: string, exists: bool, tables: struct<deals: struct<rows: int64, classification: string>, (... 132 chars omitted)
child 0, db: string
child 1, exists: bool
child 2, tables: struct<deals: struct<rows: int64, classification: string>, entries: struct<rows: int64, classificati (... 90 chars omitted)
child 0, deals: struct<rows: int64, classification: string>
child 0, rows: int64
child 1, classification: string
child 1, entries: struct<rows: int64, classification: string, exposure_policy: string>
child 0, rows: int64
child 1, classification: string
child 2, exposure_policy: string
child 2, talent: struct<rows: int64, classification: string>
child 0, rows: int64
child 1, classification: string
to
{'status': Value('string'), 'generated_at': Value('string'), 'rule': Value('string'), 'reports': List({'db': Value('string'), 'exists': Value('bool'), 'tables': {'deals': {'rows': Value('int64'), 'classification': Value('string')}, 'entries': {'rows': Value('int64'), 'classification': Value('string'), 'exposure_policy': Value('string')}, 'talent': {'rows': Value('int64'), 'classification': 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.
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 2026-10-03T05:50:02+00:00 - 63 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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