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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
schema_version: int64
analysis_id: string
analysis_label: string
status: string
raw_run_records: int64
expected_raw_run_records: int64
new_runs_done: int64
reused_runs: int64
logical_windows_identical_across_all_six_conditions_per_task_seed: bool
h100_windows_files_byte_identical: bool
direct_dino_threshold_shared_clean_only: bool
per_step_latency_available: bool
h16_scope: string
sim_scope: string
window_audit: list<item: struct<task: string, seed: int64, logical_window_sequence_sha256: string, h100_windows_sh (... 14 chars omitted)
child 0, item: struct<task: string, seed: int64, logical_window_sequence_sha256: string, h100_windows_sha256: strin (... 2 chars omitted)
child 0, task: string
child 1, seed: int64
child 2, logical_window_sequence_sha256: string
child 3, h100_windows_sha256: string
failures: list<item: null>
child 0, item: null
validation_status: string
protocol_lock_sha256: string
protocol_lock: string
required_artifacts_per_run: list<item: string>
child 0, item: string
window_identity: struct<cross_t1_t3: string, within_t1_all_shifts_directions: string, within_t3_all_conditions: strin (... 2 chars omitted)
child 0, cross_t1_t3: string
child 1, within_t1_all_shifts_directions: string
child 2, within_t3_all_conditions: string
latency: struct<promotable: bool, status: string>
child 0, promotable: bool
child 1, status: string
t1: struct<classes_per_run: struct<C1: int64, C2: int64, C3: int64, C4: int64>, direction_balanced: bool (... 96 chars omitted)
child 0, classes_per_run: struct<C1: int64, C2: int64, C3: int64, C4: int64>
child 0, C1: int64
child 1, C2: int64
child 2, C3: int64
child 3, C4: int64
child 1, direction_balanced: bool
child 2, expected_runs: int64
child 3, seeds: list<item: int64>
child 0, item: int64
child 4, validated_runs: int64
child 5, windows_per_run: int64
t3: struct<classes_per_run: struct<C1: int64, C2: int64, C3: int64, C4: int64>, conditions: list<item: s (... 269 chars omitted)
child 0, classes_per_run: struct<C1: int64, C2: int64, C3: int64, C4: int64>
child 0, C1: int64
child 1, C2: int64
child 2, C3: int64
child 3, C4: int64
child 1, conditions: list<item: string>
child 0, item: string
child 2, diagnostic_only_conditions: list<item: string>
child 0, item: string
child 3, expected_runs: int64
child 4, promotable_conditions: list<item: string>
child 0, item: string
child 5, reviewer_control_audit: string
child 6, reviewer_exact_persistence_control: string
child 7, seeds: list<item: int64>
child 0, item: int64
child 8, validated_runs: int64
child 9, windows_per_run: int64
metrics_promoted: list<item: string>
child 0, item: string
to
{'analysis_label': Value('string'), 'latency': {'promotable': Value('bool'), 'status': Value('string')}, 'metrics_promoted': List(Value('string')), 'protocol_lock': Value('string'), 'protocol_lock_sha256': Value('string'), 'required_artifacts_per_run': List(Value('string')), 'schema_version': Value('int64'), 't1': {'classes_per_run': {'C1': Value('int64'), 'C2': Value('int64'), 'C3': Value('int64'), 'C4': Value('int64')}, 'direction_balanced': Value('bool'), 'expected_runs': Value('int64'), 'seeds': List(Value('int64')), 'validated_runs': Value('int64'), 'windows_per_run': Value('int64')}, 't3': {'classes_per_run': {'C1': Value('int64'), 'C2': Value('int64'), 'C3': Value('int64'), 'C4': Value('int64')}, 'conditions': List(Value('string')), 'diagnostic_only_conditions': List(Value('string')), 'expected_runs': Value('int64'), 'promotable_conditions': List(Value('string')), 'reviewer_control_audit': Value('string'), 'reviewer_exact_persistence_control': Value('string'), 'seeds': List(Value('int64')), 'validated_runs': Value('int64'), 'windows_per_run': Value('int64')}, 'validation_status': Value('string'), 'window_identity': {'cross_t1_t3': Value('string'), 'within_t1_all_shifts_directions': Value('string'), 'within_t3_all_conditions': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
schema_version: int64
analysis_id: string
analysis_label: string
status: string
raw_run_records: int64
expected_raw_run_records: int64
new_runs_done: int64
reused_runs: int64
logical_windows_identical_across_all_six_conditions_per_task_seed: bool
h100_windows_files_byte_identical: bool
direct_dino_threshold_shared_clean_only: bool
per_step_latency_available: bool
h16_scope: string
sim_scope: string
window_audit: list<item: struct<task: string, seed: int64, logical_window_sequence_sha256: string, h100_windows_sh (... 14 chars omitted)
child 0, item: struct<task: string, seed: int64, logical_window_sequence_sha256: string, h100_windows_sha256: strin (... 2 chars omitted)
child 0, task: string
child 1, seed: int64
child 2, logical_window_sequence_sha256: string
child 3, h100_windows_sha256: string
failures: list<item: null>
child 0, item: null
validation_status: string
protocol_lock_sha256: string
protocol_lock: string
required_artifacts_per_run: list<item: string>
child 0, item: string
window_identity: struct<cross_t1_t3: string, within_t1_all_shifts_directions: string, within_t3_all_conditions: strin (... 2 chars omitted)
child 0, cross_t1_t3: string
child 1, within_t1_all_shifts_directions: string
child 2, within_t3_all_conditions: string
latency: struct<promotable: bool, status: string>
child 0, promotable: bool
child 1, status: string
t1: struct<classes_per_run: struct<C1: int64, C2: int64, C3: int64, C4: int64>, direction_balanced: bool (... 96 chars omitted)
child 0, classes_per_run: struct<C1: int64, C2: int64, C3: int64, C4: int64>
child 0, C1: int64
child 1, C2: int64
child 2, C3: int64
child 3, C4: int64
child 1, direction_balanced: bool
child 2, expected_runs: int64
child 3, seeds: list<item: int64>
child 0, item: int64
child 4, validated_runs: int64
child 5, windows_per_run: int64
t3: struct<classes_per_run: struct<C1: int64, C2: int64, C3: int64, C4: int64>, conditions: list<item: s (... 269 chars omitted)
child 0, classes_per_run: struct<C1: int64, C2: int64, C3: int64, C4: int64>
child 0, C1: int64
child 1, C2: int64
child 2, C3: int64
child 3, C4: int64
child 1, conditions: list<item: string>
child 0, item: string
child 2, diagnostic_only_conditions: list<item: string>
child 0, item: string
child 3, expected_runs: int64
child 4, promotable_conditions: list<item: string>
child 0, item: string
child 5, reviewer_control_audit: string
child 6, reviewer_exact_persistence_control: string
child 7, seeds: list<item: int64>
child 0, item: int64
child 8, validated_runs: int64
child 9, windows_per_run: int64
metrics_promoted: list<item: string>
child 0, item: string
to
{'analysis_label': Value('string'), 'latency': {'promotable': Value('bool'), 'status': Value('string')}, 'metrics_promoted': List(Value('string')), 'protocol_lock': Value('string'), 'protocol_lock_sha256': Value('string'), 'required_artifacts_per_run': List(Value('string')), 'schema_version': Value('int64'), 't1': {'classes_per_run': {'C1': Value('int64'), 'C2': Value('int64'), 'C3': Value('int64'), 'C4': Value('int64')}, 'direction_balanced': Value('bool'), 'expected_runs': Value('int64'), 'seeds': List(Value('int64')), 'validated_runs': Value('int64'), 'windows_per_run': Value('int64')}, 't3': {'classes_per_run': {'C1': Value('int64'), 'C2': Value('int64'), 'C3': Value('int64'), 'C4': Value('int64')}, 'conditions': List(Value('string')), 'diagnostic_only_conditions': List(Value('string')), 'expected_runs': Value('int64'), 'promotable_conditions': List(Value('string')), 'reviewer_control_audit': Value('string'), 'reviewer_exact_persistence_control': Value('string'), 'seeds': List(Value('int64')), 'validated_runs': Value('int64'), 'windows_per_run': Value('int64')}, 'validation_status': Value('string'), 'window_identity': {'cross_t1_t3': Value('string'), 'within_t1_all_shifts_directions': Value('string'), 'within_t3_all_conditions': 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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