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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
profile_id: string
font_id: string
font_name: string
style: string
source: string
license: string
sha256: string
specimen_kind: string
script: string
vector_offset: int64
schema_version: int64
embedding: struct<model: string, model_file: string, input_dimension: int64, dimension: int64, dtype: string, n (... 562 chars omitted)
child 0, model: string
child 1, model_file: string
child 2, input_dimension: int64
child 3, dimension: int64
child 4, dtype: string
child 5, normalization: string
child 6, compression: string
child 7, explained_variance_ratio: double
child 8, projection: struct<mean_path: string, mean_sha256: string, mean_bytes: int64, components_path: string, component (... 69 chars omitted)
child 0, mean_path: string
child 1, mean_sha256: string
child 2, mean_bytes: int64
child 3, components_path: string
child 4, components_layout: string
child 5, components_sha256: string
child 6, components_bytes: int64
child 9, encoder: struct<file: string, bytes: int64, sha256: string, license: string, source_model: string, source_mod (... 49 chars omitted)
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
child 3, license: string
child 4, source_model: string
child 5, source_model_sha256: string
child 6, input: string
child 7, output: string
child 10, classifier_fallback: struct<file: string, bytes: int64, sha256: string, license: string, source_model: string, input: str (... 20 chars omitted)
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
child 3, license: string
child 4, source_model: string
child 5, input: string
child 6, output: string
release_id: string
built_at_utc: string
offline_policy: string
catalogue: struct<unique_source_fonts: int64, visual_profiles: int64, profiles_are: string>
child 0, unique_source_fonts: int64
child 1, visual_profiles: int64
child 2, profiles_are: string
artifacts: struct<font_visual_index_128.f32: struct<file: string, bytes: int64, sha256: string>, font_visual_pr (... 244 chars omitted)
child 0, font_visual_index_128.f32: struct<file: string, bytes: int64, sha256: string>
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
child 1, font_visual_profiles.jsonl: struct<file: string, bytes: int64, sha256: string>
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
child 2, font_visual_projection_mean_2048.f32: struct<file: string, bytes: int64, sha256: string>
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
child 3, font_visual_projection_128x2048.f32: struct<file: string, bytes: int64, sha256: string>
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
to
{'schema_version': Value('int64'), 'release_id': Value('string'), 'built_at_utc': Value('string'), 'catalogue': {'unique_source_fonts': Value('int64'), 'visual_profiles': Value('int64'), 'profiles_are': Value('string')}, 'embedding': {'model': Value('string'), 'model_file': Value('string'), 'input_dimension': Value('int64'), 'dimension': Value('int64'), 'dtype': Value('string'), 'normalization': Value('string'), 'compression': Value('string'), 'explained_variance_ratio': Value('float64'), 'projection': {'mean_path': Value('string'), 'mean_sha256': Value('string'), 'mean_bytes': Value('int64'), 'components_path': Value('string'), 'components_layout': Value('string'), 'components_sha256': Value('string'), 'components_bytes': Value('int64')}, 'encoder': {'file': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'license': Value('string'), 'source_model': Value('string'), 'source_model_sha256': Value('string'), 'input': Value('string'), 'output': Value('string')}, 'classifier_fallback': {'file': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'license': Value('string'), 'source_model': Value('string'), 'input': Value('string'), 'output': Value('string')}}, 'artifacts': {'font_visual_index_128.f32': {'file': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}, 'font_visual_profiles.jsonl': {'file': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}, 'font_visual_projection_mean_2048.f32': {'file': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}, 'font_visual_projection_128x2048.f32': {'file': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}}, 'offline_policy': 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
profile_id: string
font_id: string
font_name: string
style: string
source: string
license: string
sha256: string
specimen_kind: string
script: string
vector_offset: int64
schema_version: int64
embedding: struct<model: string, model_file: string, input_dimension: int64, dimension: int64, dtype: string, n (... 562 chars omitted)
child 0, model: string
child 1, model_file: string
child 2, input_dimension: int64
child 3, dimension: int64
child 4, dtype: string
child 5, normalization: string
child 6, compression: string
child 7, explained_variance_ratio: double
child 8, projection: struct<mean_path: string, mean_sha256: string, mean_bytes: int64, components_path: string, component (... 69 chars omitted)
child 0, mean_path: string
child 1, mean_sha256: string
child 2, mean_bytes: int64
child 3, components_path: string
child 4, components_layout: string
child 5, components_sha256: string
child 6, components_bytes: int64
child 9, encoder: struct<file: string, bytes: int64, sha256: string, license: string, source_model: string, source_mod (... 49 chars omitted)
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
child 3, license: string
child 4, source_model: string
child 5, source_model_sha256: string
child 6, input: string
child 7, output: string
child 10, classifier_fallback: struct<file: string, bytes: int64, sha256: string, license: string, source_model: string, input: str (... 20 chars omitted)
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
child 3, license: string
child 4, source_model: string
child 5, input: string
child 6, output: string
release_id: string
built_at_utc: string
offline_policy: string
catalogue: struct<unique_source_fonts: int64, visual_profiles: int64, profiles_are: string>
child 0, unique_source_fonts: int64
child 1, visual_profiles: int64
child 2, profiles_are: string
artifacts: struct<font_visual_index_128.f32: struct<file: string, bytes: int64, sha256: string>, font_visual_pr (... 244 chars omitted)
child 0, font_visual_index_128.f32: struct<file: string, bytes: int64, sha256: string>
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
child 1, font_visual_profiles.jsonl: struct<file: string, bytes: int64, sha256: string>
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
child 2, font_visual_projection_mean_2048.f32: struct<file: string, bytes: int64, sha256: string>
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
child 3, font_visual_projection_128x2048.f32: struct<file: string, bytes: int64, sha256: string>
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
to
{'schema_version': Value('int64'), 'release_id': Value('string'), 'built_at_utc': Value('string'), 'catalogue': {'unique_source_fonts': Value('int64'), 'visual_profiles': Value('int64'), 'profiles_are': Value('string')}, 'embedding': {'model': Value('string'), 'model_file': Value('string'), 'input_dimension': Value('int64'), 'dimension': Value('int64'), 'dtype': Value('string'), 'normalization': Value('string'), 'compression': Value('string'), 'explained_variance_ratio': Value('float64'), 'projection': {'mean_path': Value('string'), 'mean_sha256': Value('string'), 'mean_bytes': Value('int64'), 'components_path': Value('string'), 'components_layout': Value('string'), 'components_sha256': Value('string'), 'components_bytes': Value('int64')}, 'encoder': {'file': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'license': Value('string'), 'source_model': Value('string'), 'source_model_sha256': Value('string'), 'input': Value('string'), 'output': Value('string')}, 'classifier_fallback': {'file': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string'), 'license': Value('string'), 'source_model': Value('string'), 'input': Value('string'), 'output': Value('string')}}, 'artifacts': {'font_visual_index_128.f32': {'file': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}, 'font_visual_profiles.jsonl': {'file': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}, 'font_visual_projection_mean_2048.f32': {'file': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}, 'font_visual_projection_128x2048.f32': {'file': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}}, 'offline_policy': 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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