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
captions: struct<gemma3: struct<en: struct<all: list<element: string>, animals: list<element: string>, environ (... 582 chars omitted)
child 0, gemma3: struct<en: struct<all: list<element: string>, animals: list<element: string>, environment: list<elem (... 566 chars omitted)
child 0, en: struct<all: list<element: string>, animals: list<element: string>, environment: list<element: string (... 224 chars omitted)
child 0, all: list<element: string>
child 0, element: string
child 1, animals: list<element: string>
child 0, element: string
child 2, environment: list<element: string>
child 0, element: string
child 3, fauna: list<element: string>
child 0, element: string
child 4, flora: list<element: string>
child 0, element: string
child 5, nature: list<element: string>
child 0, element: string
child 6, objects: list<element: string>
child 0, element: string
child 7, people: list<element: string>
child 0, element: string
child 8, plants: list<element: string>
child 0, element: string
child 9, unstructured: list<element: string>
child 0, element: string
child 1, pt: struct<all: list<element: string>, animals: list<element: string>, environment: list<element: string (... 224 chars omitted)
child 0, all: list<element: string>
...
>>, dino: l (... 167 chars omitted)
child 0, all: list<element: struct<box: list<element: double>, label: string, score: double>>
child 0, element: struct<box: list<element: double>, label: string, score: double>
child 0, box: list<element: double>
child 0, element: double
child 1, label: string
child 2, score: double
child 1, dino: list<element: struct<box: list<element: double>, label: string, score: double>>
child 0, element: struct<box: list<element: double>, label: string, score: double>
child 0, box: list<element: double>
child 0, element: double
child 1, label: string
child 2, score: double
child 2, owlv2: list<element: struct<box: list<element: double>, label: string, score: double>>
child 0, element: struct<box: list<element: double>, label: string, score: double>
child 0, box: list<element: double>
child 0, element: double
child 1, label: string
child 2, score: double
title: string
url: string
year: int64
yearp: list<element: double>
child 0, element: double
clusters: struct<distances: list<element: double>>
child 0, distances: list<element: double>
child 0, element: double
cluster_activation: list<element: list<element: double>>
child 0, element: list<element: double>
child 0, element: double
-- schema metadata --
huggingface: '{"info": {"features": {"captions": {"gemma3": {"en": {"all"' + 3473
to
{'captions': {'gemma3': {'en': {'all': List(Value('string')), 'animals': List(Value('string')), 'environment': List(Value('string')), 'fauna': List(Value('string')), 'flora': List(Value('string')), 'nature': List(Value('string')), 'objects': List(Value('string')), 'people': List(Value('string')), 'plants': List(Value('string')), 'unstructured': List(Value('string'))}, 'pt': {'all': List(Value('string')), 'animals': List(Value('string')), 'environment': List(Value('string')), 'fauna': List(Value('string')), 'flora': List(Value('string')), 'nature': List(Value('string')), 'objects': List(Value('string')), 'people': List(Value('string')), 'plants': List(Value('string')), 'unstructured': List(Value('string'))}}}, 'categories': List(Value('string')), 'color_palette': List(List(Value('int64'))), 'creator': Value('string'), 'date': Value('string'), 'depicts': {'en': List(Value('string')), 'pt': List(Value('string'))}, 'embeddings': {'siglip2': List(Value('float64')), 'tsne2d': List(Value('float64'))}, 'id': Value('string'), 'image': {'image': Value('string'), 'ratio': Value('float64')}, 'museum': Value('string'), 'objects': List({'box': List(Value('float64')), 'label': Value('string'), 'score': Value('float64')}), 'title': Value('string'), 'url': Value('string'), 'year': Value('int64'), 'clusters': {'distances': List(Value('float64'))}}
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/parquet/parquet.py", line 220, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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
captions: struct<gemma3: struct<en: struct<all: list<element: string>, animals: list<element: string>, environ (... 582 chars omitted)
child 0, gemma3: struct<en: struct<all: list<element: string>, animals: list<element: string>, environment: list<elem (... 566 chars omitted)
child 0, en: struct<all: list<element: string>, animals: list<element: string>, environment: list<element: string (... 224 chars omitted)
child 0, all: list<element: string>
child 0, element: string
child 1, animals: list<element: string>
child 0, element: string
child 2, environment: list<element: string>
child 0, element: string
child 3, fauna: list<element: string>
child 0, element: string
child 4, flora: list<element: string>
child 0, element: string
child 5, nature: list<element: string>
child 0, element: string
child 6, objects: list<element: string>
child 0, element: string
child 7, people: list<element: string>
child 0, element: string
child 8, plants: list<element: string>
child 0, element: string
child 9, unstructured: list<element: string>
child 0, element: string
child 1, pt: struct<all: list<element: string>, animals: list<element: string>, environment: list<element: string (... 224 chars omitted)
child 0, all: list<element: string>
...
>>, dino: l (... 167 chars omitted)
child 0, all: list<element: struct<box: list<element: double>, label: string, score: double>>
child 0, element: struct<box: list<element: double>, label: string, score: double>
child 0, box: list<element: double>
child 0, element: double
child 1, label: string
child 2, score: double
child 1, dino: list<element: struct<box: list<element: double>, label: string, score: double>>
child 0, element: struct<box: list<element: double>, label: string, score: double>
child 0, box: list<element: double>
child 0, element: double
child 1, label: string
child 2, score: double
child 2, owlv2: list<element: struct<box: list<element: double>, label: string, score: double>>
child 0, element: struct<box: list<element: double>, label: string, score: double>
child 0, box: list<element: double>
child 0, element: double
child 1, label: string
child 2, score: double
title: string
url: string
year: int64
yearp: list<element: double>
child 0, element: double
clusters: struct<distances: list<element: double>>
child 0, distances: list<element: double>
child 0, element: double
cluster_activation: list<element: list<element: double>>
child 0, element: list<element: double>
child 0, element: double
-- schema metadata --
huggingface: '{"info": {"features": {"captions": {"gemma3": {"en": {"all"' + 3473
to
{'captions': {'gemma3': {'en': {'all': List(Value('string')), 'animals': List(Value('string')), 'environment': List(Value('string')), 'fauna': List(Value('string')), 'flora': List(Value('string')), 'nature': List(Value('string')), 'objects': List(Value('string')), 'people': List(Value('string')), 'plants': List(Value('string')), 'unstructured': List(Value('string'))}, 'pt': {'all': List(Value('string')), 'animals': List(Value('string')), 'environment': List(Value('string')), 'fauna': List(Value('string')), 'flora': List(Value('string')), 'nature': List(Value('string')), 'objects': List(Value('string')), 'people': List(Value('string')), 'plants': List(Value('string')), 'unstructured': List(Value('string'))}}}, 'categories': List(Value('string')), 'color_palette': List(List(Value('int64'))), 'creator': Value('string'), 'date': Value('string'), 'depicts': {'en': List(Value('string')), 'pt': List(Value('string'))}, 'embeddings': {'siglip2': List(Value('float64')), 'tsne2d': List(Value('float64'))}, 'id': Value('string'), 'image': {'image': Value('string'), 'ratio': Value('float64')}, 'museum': Value('string'), 'objects': List({'box': List(Value('float64')), 'label': Value('string'), 'score': Value('float64')}), 'title': Value('string'), 'url': Value('string'), 'year': Value('int64'), 'clusters': {'distances': List(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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