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
config_sha256: string
cross_split_context_overlap: int64
generator_code_sha256: struct<__init__.py: string, cli.py: string, parallel.py: string, sources.py: string, storage.py: str (... 24 chars omitted)
child 0, __init__.py: string
child 1, cli.py: string
child 2, parallel.py: string
child 3, sources.py: string
child 4, storage.py: string
child 5, workers.py: string
manifest_id: string
note: string
schema: int64
shards: list<item: struct<batches: list<item: struct<entries: list<item: struct<actual_prefix_tokens: int64, (... 200 chars omitted)
child 0, item: struct<batches: list<item: struct<entries: list<item: struct<actual_prefix_tokens: int64, bytes: int (... 188 chars omitted)
child 0, batches: list<item: struct<entries: list<item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: (... 78 chars omitted)
child 0, item: struct<entries: list<item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: string, id (... 66 chars omitted)
child 0, entries: list<item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: string, id: string, offset (... 9 chars omitted)
child 0, item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: string, id: string, offset: int64>
child 0, actual_prefix_tokens: int64
child 1, bytes: int64
child 2, document_id: string
child 3, id: string
...
child 4, validation/PaulGrahamEssays.json: string
child 5, validation/background.json: string
child 6, validation/hotpotqa.json: string
child 7, validation/squad.json: string
child 4, note: string
child 5, partition: string
child 6, removed: struct<benchmark: int64, cross_split_duplicate: int64>
child 0, benchmark: int64
child 1, cross_split_duplicate: int64
child 7, schema: int64
storage: string
subsets: struct<10: string, 100: string, 200: string, 50: string>
child 0, 10: string
child 1, 100: string
child 2, 200: string
child 3, 50: string
durable_end: int64
batches: list<item: struct<entries: list<item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: (... 78 chars omitted)
child 0, item: struct<entries: list<item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: string, id (... 66 chars omitted)
child 0, entries: list<item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: string, id: string, offset (... 9 chars omitted)
child 0, item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: string, id: string, offset: int64>
child 0, actual_prefix_tokens: int64
child 1, bytes: int64
child 2, document_id: string
child 3, id: string
child 4, offset: int64
child 1, key: string
child 2, rows: int64
child 3, task: string
split: string
path: string
rows: int64
sha256: string
to
{'batches': List({'entries': List({'actual_prefix_tokens': Value('int64'), 'bytes': Value('int64'), 'document_id': Value('string'), 'id': Value('string'), 'offset': Value('int64')}), 'key': Value('string'), 'rows': Value('int64'), 'task': Value('string')}), 'durable_end': Value('int64'), 'path': Value('string'), 'rows': Value('int64'), 'schema': Value('int64'), 'sha256': Value('string'), 'split': 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
config_sha256: string
cross_split_context_overlap: int64
generator_code_sha256: struct<__init__.py: string, cli.py: string, parallel.py: string, sources.py: string, storage.py: str (... 24 chars omitted)
child 0, __init__.py: string
child 1, cli.py: string
child 2, parallel.py: string
child 3, sources.py: string
child 4, storage.py: string
child 5, workers.py: string
manifest_id: string
note: string
schema: int64
shards: list<item: struct<batches: list<item: struct<entries: list<item: struct<actual_prefix_tokens: int64, (... 200 chars omitted)
child 0, item: struct<batches: list<item: struct<entries: list<item: struct<actual_prefix_tokens: int64, bytes: int (... 188 chars omitted)
child 0, batches: list<item: struct<entries: list<item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: (... 78 chars omitted)
child 0, item: struct<entries: list<item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: string, id (... 66 chars omitted)
child 0, entries: list<item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: string, id: string, offset (... 9 chars omitted)
child 0, item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: string, id: string, offset: int64>
child 0, actual_prefix_tokens: int64
child 1, bytes: int64
child 2, document_id: string
child 3, id: string
...
child 4, validation/PaulGrahamEssays.json: string
child 5, validation/background.json: string
child 6, validation/hotpotqa.json: string
child 7, validation/squad.json: string
child 4, note: string
child 5, partition: string
child 6, removed: struct<benchmark: int64, cross_split_duplicate: int64>
child 0, benchmark: int64
child 1, cross_split_duplicate: int64
child 7, schema: int64
storage: string
subsets: struct<10: string, 100: string, 200: string, 50: string>
child 0, 10: string
child 1, 100: string
child 2, 200: string
child 3, 50: string
durable_end: int64
batches: list<item: struct<entries: list<item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: (... 78 chars omitted)
child 0, item: struct<entries: list<item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: string, id (... 66 chars omitted)
child 0, entries: list<item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: string, id: string, offset (... 9 chars omitted)
child 0, item: struct<actual_prefix_tokens: int64, bytes: int64, document_id: string, id: string, offset: int64>
child 0, actual_prefix_tokens: int64
child 1, bytes: int64
child 2, document_id: string
child 3, id: string
child 4, offset: int64
child 1, key: string
child 2, rows: int64
child 3, task: string
split: string
path: string
rows: int64
sha256: string
to
{'batches': List({'entries': List({'actual_prefix_tokens': Value('int64'), 'bytes': Value('int64'), 'document_id': Value('string'), 'id': Value('string'), 'offset': Value('int64')}), 'key': Value('string'), 'rows': Value('int64'), 'task': Value('string')}), 'durable_end': Value('int64'), 'path': Value('string'), 'rows': Value('int64'), 'schema': Value('int64'), 'sha256': Value('string'), 'split': 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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