Dataset Viewer
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
format: string
state: string
source_identity: string
source_revision: string
source_origin: string
source_input_binding: struct<source_snapshot_path: string, source_selected_tree_sha256: string, source_selected_files: lis (... 100 chars omitted)
child 0, source_snapshot_path: string
child 1, source_selected_tree_sha256: string
child 2, source_selected_files: list<item: struct<path: string, purpose: string, bytes: int64, sha256: string, sha256_method: string (... 2 chars omitted)
child 0, item: struct<path: string, purpose: string, bytes: int64, sha256: string, sha256_method: string>
child 0, path: string
child 1, purpose: string
child 2, bytes: int64
child 3, sha256: string
child 4, sha256_method: string
adapter_contract: string
filter_contract: string
renderer: string
counts: struct<units_seen: int64, kept: int64, repaired: int64, rejected: int64, excluded: int64, aliases: i (... 5 chars omitted)
child 0, units_seen: int64
child 1, kept: int64
child 2, repaired: int64
child 3, rejected: int64
child 4, excluded: int64
child 5, aliases: int64
schema: struct<primary_training_column: string, required_columns: list<item: string>>
child 0, primary_training_column: string
child 1, required_columns: list<item: string>
child 0, item: string
text: string
to
{'text': Value('string')}
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/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 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
format: string
state: string
source_identity: string
source_revision: string
source_origin: string
source_input_binding: struct<source_snapshot_path: string, source_selected_tree_sha256: string, source_selected_files: lis (... 100 chars omitted)
child 0, source_snapshot_path: string
child 1, source_selected_tree_sha256: string
child 2, source_selected_files: list<item: struct<path: string, purpose: string, bytes: int64, sha256: string, sha256_method: string (... 2 chars omitted)
child 0, item: struct<path: string, purpose: string, bytes: int64, sha256: string, sha256_method: string>
child 0, path: string
child 1, purpose: string
child 2, bytes: int64
child 3, sha256: string
child 4, sha256_method: string
adapter_contract: string
filter_contract: string
renderer: string
counts: struct<units_seen: int64, kept: int64, repaired: int64, rejected: int64, excluded: int64, aliases: i (... 5 chars omitted)
child 0, units_seen: int64
child 1, kept: int64
child 2, repaired: int64
child 3, rejected: int64
child 4, excluded: int64
child 5, aliases: int64
schema: struct<primary_training_column: string, required_columns: list<item: string>>
child 0, primary_training_column: string
child 1, required_columns: list<item: string>
child 0, item: string
text: string
to
{'text': 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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