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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
nx: int64
ny: int64
dlon: double
dlat: double
west: int64
south: int64
scale: double
nodata: int64
layout: string
source: string
citation: string
updated: timestamp[s]
years: struct<2026: int64, 2025: int64, 2024: int64, 2023: int64, 2022: int64, 2021: int64, 2020: int64, 20 (... 374 chars omitted)
child 0, 2026: int64
child 1, 2025: int64
child 2, 2024: int64
child 3, 2023: int64
child 4, 2022: int64
child 5, 2021: int64
child 6, 2020: int64
child 7, 2019: int64
child 8, 2018: int64
child 9, 2017: int64
child 10, 2016: int64
child 11, 2015: int64
child 12, 2014: int64
child 13, 2013: int64
child 14, 2012: int64
child 15, 2011: int64
child 16, 2010: int64
child 17, 2009: int64
child 18, 2008: int64
child 19, 2007: int64
child 20, 2006: int64
child 21, 2005: int64
child 22, 2004: int64
child 23, 2003: int64
child 24, 2002: int64
child 25, 2001: int64
child 26, 2000: int64
child 27, 1999: int64
child 28, 1998: int64
child 29, 1997: int64
child 30, 1996: int64
child 31, 1995: int64
child 32, 1994: int64
child 33, 1993: int64
child 34, 1992: int64
child 35, 1991: int64
days: int64
year: int64
to
{'year': Value('int64'), 'days': Value('int64'), 'nx': Value('int64'), 'ny': Value('int64'), 'dlon': Value('float64'), 'dlat': Value('float64'), 'west': Value('int64'), 'south': Value('int64'), 'scale': Value('float64'), 'nodata': Value('int64'), 'layout': Value('string'), 'source': Value('string'), 'citation': 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
nx: int64
ny: int64
dlon: double
dlat: double
west: int64
south: int64
scale: double
nodata: int64
layout: string
source: string
citation: string
updated: timestamp[s]
years: struct<2026: int64, 2025: int64, 2024: int64, 2023: int64, 2022: int64, 2021: int64, 2020: int64, 20 (... 374 chars omitted)
child 0, 2026: int64
child 1, 2025: int64
child 2, 2024: int64
child 3, 2023: int64
child 4, 2022: int64
child 5, 2021: int64
child 6, 2020: int64
child 7, 2019: int64
child 8, 2018: int64
child 9, 2017: int64
child 10, 2016: int64
child 11, 2015: int64
child 12, 2014: int64
child 13, 2013: int64
child 14, 2012: int64
child 15, 2011: int64
child 16, 2010: int64
child 17, 2009: int64
child 18, 2008: int64
child 19, 2007: int64
child 20, 2006: int64
child 21, 2005: int64
child 22, 2004: int64
child 23, 2003: int64
child 24, 2002: int64
child 25, 2001: int64
child 26, 2000: int64
child 27, 1999: int64
child 28, 1998: int64
child 29, 1997: int64
child 30, 1996: int64
child 31, 1995: int64
child 32, 1994: int64
child 33, 1993: int64
child 34, 1992: int64
child 35, 1991: int64
days: int64
year: int64
to
{'year': Value('int64'), 'days': Value('int64'), 'nx': Value('int64'), 'ny': Value('int64'), 'dlon': Value('float64'), 'dlat': Value('float64'), 'west': Value('int64'), 'south': Value('int64'), 'scale': Value('float64'), 'nodata': Value('int64'), 'layout': Value('string'), 'source': Value('string'), 'citation': 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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