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
schema: string
dataset_id: string
version: string
source_revision: string
normalizer_version: string
schema_version: string
record_count_raw: int64
record_count_normalized: int64
record_count_quarantined: int64
bytes: int64
domain_distribution: struct<robotics: int64>
child 0, robotics: int64
tool_distribution: struct<UNRESOLVED: int64>
child 0, UNRESOLVED: int64
risk_distribution: struct<UNRESOLVED: int64>
child 0, UNRESOLVED: int64
missingness: struct<authorization_fields: string, effect_fields: string, model_fields: string>
child 0, authorization_fields: string
child 1, effect_fields: string
child 2, model_fields: string
scientific_roles: list<item: string>
child 0, item: string
freeze_status: string
DEFER: bool
FULL_PAYLOAD_DOWNLOADED: bool
DEFER_PAYLOAD_UNTIL_CAMPAIGN: string
NORMALIZE_THIS_WEEK: bool
priority_tier: string
updated_at: string
TRIGGUARD_AUTH_RANK: int64
TRIGGUARD_AUTH_ROLE: string
SIX_PACK: bool
MAC_PAYLOAD_DOWNLOAD: string
upstream: string
hf_owner: string
role: string
trigguard_auth_rank: int64
six_pack: bool
full_payload_uploaded: bool
to
{'dataset_id': Value('string'), 'hf_owner': Value('string'), 'trigguard_auth_rank': Value('int64'), 'role': Value('string'), 'six_pack': Value('bool'), 'upstream': Value('string'), 'full_payload_uploaded': Value('bool'), 'updated_at': 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
schema: string
dataset_id: string
version: string
source_revision: string
normalizer_version: string
schema_version: string
record_count_raw: int64
record_count_normalized: int64
record_count_quarantined: int64
bytes: int64
domain_distribution: struct<robotics: int64>
child 0, robotics: int64
tool_distribution: struct<UNRESOLVED: int64>
child 0, UNRESOLVED: int64
risk_distribution: struct<UNRESOLVED: int64>
child 0, UNRESOLVED: int64
missingness: struct<authorization_fields: string, effect_fields: string, model_fields: string>
child 0, authorization_fields: string
child 1, effect_fields: string
child 2, model_fields: string
scientific_roles: list<item: string>
child 0, item: string
freeze_status: string
DEFER: bool
FULL_PAYLOAD_DOWNLOADED: bool
DEFER_PAYLOAD_UNTIL_CAMPAIGN: string
NORMALIZE_THIS_WEEK: bool
priority_tier: string
updated_at: string
TRIGGUARD_AUTH_RANK: int64
TRIGGUARD_AUTH_ROLE: string
SIX_PACK: bool
MAC_PAYLOAD_DOWNLOAD: string
upstream: string
hf_owner: string
role: string
trigguard_auth_rank: int64
six_pack: bool
full_payload_uploaded: bool
to
{'dataset_id': Value('string'), 'hf_owner': Value('string'), 'trigguard_auth_rank': Value('int64'), 'role': Value('string'), 'six_pack': Value('bool'), 'upstream': Value('string'), 'full_payload_uploaded': Value('bool'), 'updated_at': 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.
TrigGuard robotics pack: maniskill
Account: mozaka (robotics host only)
Purpose: Fuel for TG_ROBOTICS_AUTHORIZATION_DATASET_V1 — Should the robot be allowed to execute? (not task-success robotics research).
| Field | Value |
|---|---|
| TrigGuard auth rank | 3 |
| Role | CONSEQUENCE_REALISM_PHYSICS |
| Six-pack | YES |
| Upstream | https://github.com/mani-skill/ManiSkill |
| Full payload on this repo | NOT YET (Mac cancelled; upload from fat disk/GCS later) |
| Local git scaffold | Present under TrigGuard research/external_datasets/robotics/maniskill/ |
Status
HF_REPO=scaffold_and_manifests
FULL_PAYLOAD=PENDING_EXTERNAL_OR_GCS_MIRROR
MAC_DOWNLOAD=CANCELLED
NORMALIZE=DEFERRED_TG_R_106
Transform target
Observation → authorize → execute → state_diff / consequence / rollback — not Task→Success.
Updated: 2026-08-13T18:30:11.442764+00:00
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