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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
ok: bool
gates: list<item: struct<name: string, pass: bool, file: string, settled: int64, line: int64, note: string, (... 287 chars omitted)
child 0, item: struct<name: string, pass: bool, file: string, settled: int64, line: int64, note: string, expect: st (... 275 chars omitted)
child 0, name: string
child 1, pass: bool
child 2, file: string
child 3, settled: int64
child 4, line: int64
child 5, note: string
child 6, expect: struct<mmid-293: string, mmid-294: string, mmid-295: string, mmid-296: string>
child 0, mmid-293: string
child 1, mmid-294: string
child 2, mmid-295: string
child 3, mmid-296: string
child 7, n: int64
child 8, stdout_tail: string
child 9, stderr_tail: string
child 10, resultRuns: int64
child 11, matchFinished: bool
child 12, confidence: double
child 13, refuseReason: string
child 14, battingTeam: string
child 15, betOutcome: string
child 16, bad: list<item: null>
child 0, item: null
failures: list<item: null>
child 0, item: null
marketKind: string
betId: string
wrongReason: string
line: int64
competition: string
settlementId: string
eventName: string
homeName: string
lesson: string
awayName: string
side: string
wrongNote: string
correctOutcome: string
selectionName: string
to
{'betId': Value('string'), 'settlementId': Value('string'), 'correctOutcome': Value('string'), 'side': Value('string'), 'selectionName': Value('string'), 'line': Value('int64'), 'marketKind': Value('string'), 'eventName': Value('string'), 'homeName': Value('string'), 'awayName': Value('string'), 'competition': Value('string'), 'wrongNote': Value('string'), 'wrongReason': Value('string'), 'lesson': 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
ok: bool
gates: list<item: struct<name: string, pass: bool, file: string, settled: int64, line: int64, note: string, (... 287 chars omitted)
child 0, item: struct<name: string, pass: bool, file: string, settled: int64, line: int64, note: string, expect: st (... 275 chars omitted)
child 0, name: string
child 1, pass: bool
child 2, file: string
child 3, settled: int64
child 4, line: int64
child 5, note: string
child 6, expect: struct<mmid-293: string, mmid-294: string, mmid-295: string, mmid-296: string>
child 0, mmid-293: string
child 1, mmid-294: string
child 2, mmid-295: string
child 3, mmid-296: string
child 7, n: int64
child 8, stdout_tail: string
child 9, stderr_tail: string
child 10, resultRuns: int64
child 11, matchFinished: bool
child 12, confidence: double
child 13, refuseReason: string
child 14, battingTeam: string
child 15, betOutcome: string
child 16, bad: list<item: null>
child 0, item: null
failures: list<item: null>
child 0, item: null
marketKind: string
betId: string
wrongReason: string
line: int64
competition: string
settlementId: string
eventName: string
homeName: string
lesson: string
awayName: string
side: string
wrongNote: string
correctOutcome: string
selectionName: string
to
{'betId': Value('string'), 'settlementId': Value('string'), 'correctOutcome': Value('string'), 'side': Value('string'), 'selectionName': Value('string'), 'line': Value('int64'), 'marketKind': Value('string'), 'eventName': Value('string'), 'homeName': Value('string'), 'awayName': Value('string'), 'competition': Value('string'), 'wrongNote': Value('string'), 'wrongReason': Value('string'), 'lesson': 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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