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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
fish_id: string
max_iterations: int64
notes: list<item: null>
child 0, item: null
iterations: list<item: struct<iteration: int64, actor_action: struct<action: string, bone_id: int64, template: s (... 966 chars omitted)
child 0, item: struct<iteration: int64, actor_action: struct<action: string, bone_id: int64, template: string, posi (... 954 chars omitted)
child 0, iteration: int64
child 1, actor_action: struct<action: string, bone_id: int64, template: string, position: list<item: double>, size: list<it (... 31 chars omitted)
child 0, action: string
child 1, bone_id: int64
child 2, template: string
child 3, position: list<item: double>
child 0, item: double
child 4, size: list<item: double>
child 0, item: double
child 5, reasoning: string
child 2, actor_meta: struct<source: string, finetuned: bool, raw: string, temperature: double>
child 0, source: string
child 1, finetuned: bool
child 2, raw: string
child 3, temperature: double
child 3, apply_warning: null
child 4, vertices_outside_before: int64
child 5, vertices_outside_after: int64
child 6, geometric_verification: struct<bone_name: string, vertices_outside_before: int64, vertices_total_before: int64, vertices_out (... 214 chars omitted)
child 0, bone_name: string
child 1, vertices_outside_before: int64
child 2, vertices_to
...
3, 1: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 4, 2: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 5, 3: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 6, 4: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 7, 5: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 8, 6: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 9, 7: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 10, 8: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 11, 9: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 12, 10: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 13, 11: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 14, 12: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
fish_length_m: double
total_fish_mass_kg: double
to
{'fish_length_m': Value('float64'), 'fish_height_m': Value('float64'), 'fish_thickness_m': Value('float64'), 'fish_volume_m3_ellipsoid': Value('float64'), 'density_kg_per_m3': Value('float64'), 'total_fish_mass_kg': Value('float64'), 'total_bone_volume_m3': Value('float64'), 'bones': {'13': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '14': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '0': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '1': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '2': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '3': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '4': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '5': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '6': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '7': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '8': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '9': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '10': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '11': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '12': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}}}
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
fish_id: string
max_iterations: int64
notes: list<item: null>
child 0, item: null
iterations: list<item: struct<iteration: int64, actor_action: struct<action: string, bone_id: int64, template: s (... 966 chars omitted)
child 0, item: struct<iteration: int64, actor_action: struct<action: string, bone_id: int64, template: string, posi (... 954 chars omitted)
child 0, iteration: int64
child 1, actor_action: struct<action: string, bone_id: int64, template: string, position: list<item: double>, size: list<it (... 31 chars omitted)
child 0, action: string
child 1, bone_id: int64
child 2, template: string
child 3, position: list<item: double>
child 0, item: double
child 4, size: list<item: double>
child 0, item: double
child 5, reasoning: string
child 2, actor_meta: struct<source: string, finetuned: bool, raw: string, temperature: double>
child 0, source: string
child 1, finetuned: bool
child 2, raw: string
child 3, temperature: double
child 3, apply_warning: null
child 4, vertices_outside_before: int64
child 5, vertices_outside_after: int64
child 6, geometric_verification: struct<bone_name: string, vertices_outside_before: int64, vertices_total_before: int64, vertices_out (... 214 chars omitted)
child 0, bone_name: string
child 1, vertices_outside_before: int64
child 2, vertices_to
...
3, 1: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 4, 2: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 5, 3: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 6, 4: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 7, 5: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 8, 6: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 9, 7: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 10, 8: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 11, 9: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 12, 10: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 13, 11: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
child 14, 12: struct<volume_m3: double, mass_kg: double>
child 0, volume_m3: double
child 1, mass_kg: double
fish_length_m: double
total_fish_mass_kg: double
to
{'fish_length_m': Value('float64'), 'fish_height_m': Value('float64'), 'fish_thickness_m': Value('float64'), 'fish_volume_m3_ellipsoid': Value('float64'), 'density_kg_per_m3': Value('float64'), 'total_fish_mass_kg': Value('float64'), 'total_bone_volume_m3': Value('float64'), 'bones': {'13': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '14': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '0': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '1': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '2': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '3': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '4': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '5': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '6': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '7': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '8': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '9': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '10': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '11': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}, '12': {'volume_m3': Value('float64'), 'mass_kg': Value('float64')}}}
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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