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_version: string
record_id: string
source: string
stage1_run: string
phase1_annotator: string
annotation_policy: string
input: struct<manifest_schema: string, record_id: string, source: string, media: struct<kind: string, path: (... 293 chars omitted)
child 0, manifest_schema: string
child 1, record_id: string
child 2, source: string
child 3, media: struct<kind: string, path: string, window_start_seconds: double, window_end_seconds: double>
child 0, kind: string
child 1, path: string
child 2, window_start_seconds: double
child 3, window_end_seconds: double
child 4, claims: list<item: struct<source_claim_id: string, text: string, provenance: string, cutoff_time_seconds: do (... 64 chars omitted)
child 0, item: struct<source_claim_id: string, text: string, provenance: string, cutoff_time_seconds: double, nativ (... 52 chars omitted)
child 0, source_claim_id: string
child 1, text: string
child 2, provenance: string
child 3, cutoff_time_seconds: double
child 4, native_start_seconds: double
child 5, native_end_seconds: double
child 5, context: struct<recording_id: string, fps: double>
child 0, recording_id: string
child 1, fps: double
frame_manifest: list<item: struct<frame_id: string, sequence_index: int64, time_seconds: double, path: string, times (... 21 chars omitted)
child 0, item: struct<frame_id: string, sequence_index: int64, time_seconds: double, path:
...
rce_claim_id: string
child 2, grounded_content: bool
child 3, content_positive: bool
child 4, timing_positive: bool
child 5, future_only: bool
child 6, contradicted: bool
child 7, hard_ambiguous_case: bool
records: int64
stage1_record_schema: string
files: list<item: struct<source: string, path: string, records: int64, compressed_bytes: int64, sha256: str (... 5 chars omitted)
child 0, item: struct<source: string, path: string, records: int64, compressed_bytes: int64, sha256: string>
child 0, source: string
child 1, path: string
child 2, records: int64
child 3, compressed_bytes: int64
child 4, sha256: string
phase1_atomic_claims: int64
records_by_source: struct<assembly101_coarse: int64, assembly101_fine: int64, egoblind: int64, proassist_assembly101: i (... 196 chars omitted)
child 0, assembly101_coarse: int64
child 1, assembly101_fine: int64
child 2, egoblind: int64
child 3, proassist_assembly101: int64
child 4, proassist_ego4d: int64
child 5, proassist_egoexolearn: int64
child 6, proassist_epickitchens: int64
child 7, proassist_holoassist: int64
child 8, proassist_wtag: int64
child 9, roma_alert: int64
child 10, roma_narration: int64
child 11, wad: int64
records_by_policy: struct<cost_gate: int64, direct_trigger: int64, need_aware: int64, opt_in_coach: int64>
child 0, cost_gate: int64
child 1, direct_trigger: int64
child 2, need_aware: int64
child 3, opt_in_coach: int64
stage2_selection_run: string
to
{'schema_version': Value('string'), 'stage1_record_schema': Value('string'), 'stage1_run': Value('string'), 'stage2_selection_run': Value('string'), 'phase1_annotator': Value('string'), 'records': Value('int64'), 'phase1_atomic_claims': Value('int64'), 'records_by_source': {'assembly101_coarse': Value('int64'), 'assembly101_fine': Value('int64'), 'egoblind': Value('int64'), 'proassist_assembly101': Value('int64'), 'proassist_ego4d': Value('int64'), 'proassist_egoexolearn': Value('int64'), 'proassist_epickitchens': Value('int64'), 'proassist_holoassist': Value('int64'), 'proassist_wtag': Value('int64'), 'roma_alert': Value('int64'), 'roma_narration': Value('int64'), 'wad': Value('int64')}, 'records_by_policy': {'cost_gate': Value('int64'), 'direct_trigger': Value('int64'), 'need_aware': Value('int64'), 'opt_in_coach': Value('int64')}, 'files': List({'source': Value('string'), 'path': Value('string'), 'records': Value('int64'), 'compressed_bytes': Value('int64'), 'sha256': 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
schema_version: string
record_id: string
source: string
stage1_run: string
phase1_annotator: string
annotation_policy: string
input: struct<manifest_schema: string, record_id: string, source: string, media: struct<kind: string, path: (... 293 chars omitted)
child 0, manifest_schema: string
child 1, record_id: string
child 2, source: string
child 3, media: struct<kind: string, path: string, window_start_seconds: double, window_end_seconds: double>
child 0, kind: string
child 1, path: string
child 2, window_start_seconds: double
child 3, window_end_seconds: double
child 4, claims: list<item: struct<source_claim_id: string, text: string, provenance: string, cutoff_time_seconds: do (... 64 chars omitted)
child 0, item: struct<source_claim_id: string, text: string, provenance: string, cutoff_time_seconds: double, nativ (... 52 chars omitted)
child 0, source_claim_id: string
child 1, text: string
child 2, provenance: string
child 3, cutoff_time_seconds: double
child 4, native_start_seconds: double
child 5, native_end_seconds: double
child 5, context: struct<recording_id: string, fps: double>
child 0, recording_id: string
child 1, fps: double
frame_manifest: list<item: struct<frame_id: string, sequence_index: int64, time_seconds: double, path: string, times (... 21 chars omitted)
child 0, item: struct<frame_id: string, sequence_index: int64, time_seconds: double, path:
...
rce_claim_id: string
child 2, grounded_content: bool
child 3, content_positive: bool
child 4, timing_positive: bool
child 5, future_only: bool
child 6, contradicted: bool
child 7, hard_ambiguous_case: bool
records: int64
stage1_record_schema: string
files: list<item: struct<source: string, path: string, records: int64, compressed_bytes: int64, sha256: str (... 5 chars omitted)
child 0, item: struct<source: string, path: string, records: int64, compressed_bytes: int64, sha256: string>
child 0, source: string
child 1, path: string
child 2, records: int64
child 3, compressed_bytes: int64
child 4, sha256: string
phase1_atomic_claims: int64
records_by_source: struct<assembly101_coarse: int64, assembly101_fine: int64, egoblind: int64, proassist_assembly101: i (... 196 chars omitted)
child 0, assembly101_coarse: int64
child 1, assembly101_fine: int64
child 2, egoblind: int64
child 3, proassist_assembly101: int64
child 4, proassist_ego4d: int64
child 5, proassist_egoexolearn: int64
child 6, proassist_epickitchens: int64
child 7, proassist_holoassist: int64
child 8, proassist_wtag: int64
child 9, roma_alert: int64
child 10, roma_narration: int64
child 11, wad: int64
records_by_policy: struct<cost_gate: int64, direct_trigger: int64, need_aware: int64, opt_in_coach: int64>
child 0, cost_gate: int64
child 1, direct_trigger: int64
child 2, need_aware: int64
child 3, opt_in_coach: int64
stage2_selection_run: string
to
{'schema_version': Value('string'), 'stage1_record_schema': Value('string'), 'stage1_run': Value('string'), 'stage2_selection_run': Value('string'), 'phase1_annotator': Value('string'), 'records': Value('int64'), 'phase1_atomic_claims': Value('int64'), 'records_by_source': {'assembly101_coarse': Value('int64'), 'assembly101_fine': Value('int64'), 'egoblind': Value('int64'), 'proassist_assembly101': Value('int64'), 'proassist_ego4d': Value('int64'), 'proassist_egoexolearn': Value('int64'), 'proassist_epickitchens': Value('int64'), 'proassist_holoassist': Value('int64'), 'proassist_wtag': Value('int64'), 'roma_alert': Value('int64'), 'roma_narration': Value('int64'), 'wad': Value('int64')}, 'records_by_policy': {'cost_gate': Value('int64'), 'direct_trigger': Value('int64'), 'need_aware': Value('int64'), 'opt_in_coach': Value('int64')}, 'files': List({'source': Value('string'), 'path': Value('string'), 'records': Value('int64'), 'compressed_bytes': Value('int64'), 'sha256': 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.
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