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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
stat: string
season: int64
group: string
label: string
agg: string
asc: bool
fmt: string
count: int64
series: list<item: struct<id: string, v: list<item: double>, r: list<item: int64>, g: list<item: int64>, c: (... 43 chars omitted)
child 0, item: struct<id: string, v: list<item: double>, r: list<item: int64>, g: list<item: int64>, c: list<item: (... 31 chars omitted)
child 0, id: string
child 1, v: list<item: double>
child 0, item: double
child 2, r: list<item: int64>
child 0, item: int64
child 3, g: list<item: int64>
child 0, item: int64
child 4, c: list<item: double>
child 0, item: double
child 5, tm: list<item: int64>
child 0, item: int64
team_meta: struct<108: list<item: string>, 109: list<item: string>, 110: list<item: string>, 111: list<item: st (... 656 chars omitted)
child 0, 108: list<item: string>
child 0, item: string
child 1, 109: list<item: string>
child 0, item: string
child 2, 110: list<item: string>
child 0, item: string
child 3, 111: list<item: string>
child 0, item: string
child 4, 112: list<item: string>
child 0, item: string
child 5, 113: list<item: string>
child 0, item: string
child 6, 114: list<item: string>
child 0, item: string
child 7, 115: list<item: string>
child 0, item: string
child 8, 116: list<item: string>
child 0, item: string
child 9, 117: list<item: string>
child 0, item:
...
label: string, agg: string, fmt: string, asc: bool>
child 0, key: string
child 1, label: string
child 2, agg: string
child 3, fmt: string
child 4, asc: bool
position_groups: list<item: string>
child 0, item: string
team_stat_count: int64
axes: list<item: string>
child 0, item: string
season_max_games: struct<2010: int64, 2011: int64, 2012: int64, 2013: int64, 2014: int64, 2015: int64, 2016: int64, 20 (... 127 chars omitted)
child 0, 2010: int64
child 1, 2011: int64
child 2, 2012: int64
child 3, 2013: int64
child 4, 2014: int64
child 5, 2015: int64
child 6, 2016: int64
child 7, 2017: int64
child 8, 2018: int64
child 9, 2019: int64
child 10, 2020: int64
child 11, 2021: int64
child 12, 2022: int64
child 13, 2023: int64
child 14, 2024: int64
child 15, 2025: int64
child 16, 2026: int64
player_stat_count: int64
season_games: struct<2010: int64, 2011: int64, 2012: int64, 2013: int64, 2014: int64, 2015: int64, 2016: int64, 20 (... 127 chars omitted)
child 0, 2010: int64
child 1, 2011: int64
child 2, 2012: int64
child 3, 2013: int64
child 4, 2014: int64
child 5, 2015: int64
child 6, 2016: int64
child 7, 2017: int64
child 8, 2018: int64
child 9, 2019: int64
child 10, 2020: int64
child 11, 2021: int64
child 12, 2022: int64
child 13, 2023: int64
child 14, 2024: int64
child 15, 2025: int64
child 16, 2026: int64
sport: string
headshot_pattern: string
to
{'generated_at': Value('timestamp[s]'), 'sport': Value('string'), 'source': Value('string'), 'source_policy': Value('string'), 'top_n': Value('int64'), 'seasons': List(Value('int64')), 'season_games': {'2010': Value('int64'), '2011': Value('int64'), '2012': Value('int64'), '2013': Value('int64'), '2014': Value('int64'), '2015': Value('int64'), '2016': Value('int64'), '2017': Value('int64'), '2018': Value('int64'), '2019': Value('int64'), '2020': Value('int64'), '2021': Value('int64'), '2022': Value('int64'), '2023': Value('int64'), '2024': Value('int64'), '2025': Value('int64'), '2026': Value('int64')}, 'season_max_games': {'2010': Value('int64'), '2011': Value('int64'), '2012': Value('int64'), '2013': Value('int64'), '2014': Value('int64'), '2015': Value('int64'), '2016': Value('int64'), '2017': Value('int64'), '2018': Value('int64'), '2019': Value('int64'), '2020': Value('int64'), '2021': Value('int64'), '2022': Value('int64'), '2023': Value('int64'), '2024': Value('int64'), '2025': Value('int64'), '2026': Value('int64')}, 'player_groups': List({'group': Value('string'), 'stats': List({'key': Value('string'), 'label': Value('string'), 'agg': Value('string'), 'fmt': Value('string'), 'asc': Value('bool')})}), 'team_groups': List({'group': Value('string'), 'stats': List({'key': Value('string'), 'label': Value('string'), 'agg': Value('string'), 'fmt': Value('string'), 'asc': Value('bool')})}), 'player_stat_count': Value('int64'), 'team_stat_count': Value('int64'), 'team_meta': {'108': List(Value('string')), '109': List(Value('string')), '110': List(Value('string')), '111': List(Value('string')), '112': List(Value('string')), '113': List(Value('string')), '114': List(Value('string')), '115': List(Value('string')), '116': List(Value('string')), '117': List(Value('string')), '118': List(Value('string')), '119': List(Value('string')), '120': List(Value('string')), '121': List(Value('string')), '133': List(Value('string')), '134': List(Value('string')), '135': List(Value('string')), '136': List(Value('string')), '137': List(Value('string')), '138': List(Value('string')), '139': List(Value('string')), '140': List(Value('string')), '141': List(Value('string')), '142': List(Value('string')), '143': List(Value('string')), '144': List(Value('string')), '145': List(Value('string')), '146': List(Value('string')), '147': List(Value('string')), '158': List(Value('string'))}, 'position_groups': List(Value('string')), 'axes': List(Value('string')), 'headshot_pattern': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 294, in _generate_tables
pa_table.validate()
~~~~~~~~~~~~~~~~~^^
File "pyarrow/table.pxi", line 4237, in pyarrow.lib.Table.validate
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 8: In chunk 1: Invalid: List child array invalid: Invalid: Struct child array #2 invalid: Invalid: Length spanned by list offsets (70579) larger than values array (length 70552)
During handling of the above exception, another exception occurred:
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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 332, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
stat: string
season: int64
group: string
label: string
agg: string
asc: bool
fmt: string
count: int64
series: list<item: struct<id: string, v: list<item: double>, r: list<item: int64>, g: list<item: int64>, c: (... 43 chars omitted)
child 0, item: struct<id: string, v: list<item: double>, r: list<item: int64>, g: list<item: int64>, c: list<item: (... 31 chars omitted)
child 0, id: string
child 1, v: list<item: double>
child 0, item: double
child 2, r: list<item: int64>
child 0, item: int64
child 3, g: list<item: int64>
child 0, item: int64
child 4, c: list<item: double>
child 0, item: double
child 5, tm: list<item: int64>
child 0, item: int64
team_meta: struct<108: list<item: string>, 109: list<item: string>, 110: list<item: string>, 111: list<item: st (... 656 chars omitted)
child 0, 108: list<item: string>
child 0, item: string
child 1, 109: list<item: string>
child 0, item: string
child 2, 110: list<item: string>
child 0, item: string
child 3, 111: list<item: string>
child 0, item: string
child 4, 112: list<item: string>
child 0, item: string
child 5, 113: list<item: string>
child 0, item: string
child 6, 114: list<item: string>
child 0, item: string
child 7, 115: list<item: string>
child 0, item: string
child 8, 116: list<item: string>
child 0, item: string
child 9, 117: list<item: string>
child 0, item:
...
label: string, agg: string, fmt: string, asc: bool>
child 0, key: string
child 1, label: string
child 2, agg: string
child 3, fmt: string
child 4, asc: bool
position_groups: list<item: string>
child 0, item: string
team_stat_count: int64
axes: list<item: string>
child 0, item: string
season_max_games: struct<2010: int64, 2011: int64, 2012: int64, 2013: int64, 2014: int64, 2015: int64, 2016: int64, 20 (... 127 chars omitted)
child 0, 2010: int64
child 1, 2011: int64
child 2, 2012: int64
child 3, 2013: int64
child 4, 2014: int64
child 5, 2015: int64
child 6, 2016: int64
child 7, 2017: int64
child 8, 2018: int64
child 9, 2019: int64
child 10, 2020: int64
child 11, 2021: int64
child 12, 2022: int64
child 13, 2023: int64
child 14, 2024: int64
child 15, 2025: int64
child 16, 2026: int64
player_stat_count: int64
season_games: struct<2010: int64, 2011: int64, 2012: int64, 2013: int64, 2014: int64, 2015: int64, 2016: int64, 20 (... 127 chars omitted)
child 0, 2010: int64
child 1, 2011: int64
child 2, 2012: int64
child 3, 2013: int64
child 4, 2014: int64
child 5, 2015: int64
child 6, 2016: int64
child 7, 2017: int64
child 8, 2018: int64
child 9, 2019: int64
child 10, 2020: int64
child 11, 2021: int64
child 12, 2022: int64
child 13, 2023: int64
child 14, 2024: int64
child 15, 2025: int64
child 16, 2026: int64
sport: string
headshot_pattern: string
to
{'generated_at': Value('timestamp[s]'), 'sport': Value('string'), 'source': Value('string'), 'source_policy': Value('string'), 'top_n': Value('int64'), 'seasons': List(Value('int64')), 'season_games': {'2010': Value('int64'), '2011': Value('int64'), '2012': Value('int64'), '2013': Value('int64'), '2014': Value('int64'), '2015': Value('int64'), '2016': Value('int64'), '2017': Value('int64'), '2018': Value('int64'), '2019': Value('int64'), '2020': Value('int64'), '2021': Value('int64'), '2022': Value('int64'), '2023': Value('int64'), '2024': Value('int64'), '2025': Value('int64'), '2026': Value('int64')}, 'season_max_games': {'2010': Value('int64'), '2011': Value('int64'), '2012': Value('int64'), '2013': Value('int64'), '2014': Value('int64'), '2015': Value('int64'), '2016': Value('int64'), '2017': Value('int64'), '2018': Value('int64'), '2019': Value('int64'), '2020': Value('int64'), '2021': Value('int64'), '2022': Value('int64'), '2023': Value('int64'), '2024': Value('int64'), '2025': Value('int64'), '2026': Value('int64')}, 'player_groups': List({'group': Value('string'), 'stats': List({'key': Value('string'), 'label': Value('string'), 'agg': Value('string'), 'fmt': Value('string'), 'asc': Value('bool')})}), 'team_groups': List({'group': Value('string'), 'stats': List({'key': Value('string'), 'label': Value('string'), 'agg': Value('string'), 'fmt': Value('string'), 'asc': Value('bool')})}), 'player_stat_count': Value('int64'), 'team_stat_count': Value('int64'), 'team_meta': {'108': List(Value('string')), '109': List(Value('string')), '110': List(Value('string')), '111': List(Value('string')), '112': List(Value('string')), '113': List(Value('string')), '114': List(Value('string')), '115': List(Value('string')), '116': List(Value('string')), '117': List(Value('string')), '118': List(Value('string')), '119': List(Value('string')), '120': List(Value('string')), '121': List(Value('string')), '133': List(Value('string')), '134': List(Value('string')), '135': List(Value('string')), '136': List(Value('string')), '137': List(Value('string')), '138': List(Value('string')), '139': List(Value('string')), '140': List(Value('string')), '141': List(Value('string')), '142': List(Value('string')), '143': List(Value('string')), '144': List(Value('string')), '145': List(Value('string')), '146': List(Value('string')), '147': List(Value('string')), '158': List(Value('string'))}, 'position_groups': List(Value('string')), 'axes': List(Value('string')), 'headshot_pattern': 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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