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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
6a3a2e5b8e110de46707bfd031ba797de11fbb46: struct<bucket: string, cached_at: string>
child 0, bucket: string
child 1, cached_at: string
e9202245096e6af9d4b0cf73977c57ad5525816f: struct<bucket: string, cached_at: string>
child 0, bucket: string
child 1, cached_at: string
fb43f7b4ede3be3f19d8f9b8200adb8139198686: struct<bucket: string, cached_at: string>
child 0, bucket: string
child 1, cached_at: string
73dab1d1e48c9cd5db973e76e6f9bd1936e895dc: struct<bucket: string, cached_at: string>
child 0, bucket: string
child 1, cached_at: string
c6cd2bdc4915f935442e05a7d85c1b315569a756: struct<bucket: string, cached_at: string>
child 0, bucket: string
child 1, cached_at: string
2c34d28a74dd984ee64f0e53972a54d0d0faf6dd: struct<bucket: string, cached_at: string>
child 0, bucket: string
child 1, cached_at: string
sha: string
_from_cache: bool
files: list<item: struct<filename: string, status: string, additions: int64, deletions: int64, patch: strin (... 3 chars omitted)
child 0, item: struct<filename: string, status: string, additions: int64, deletions: int64, patch: string>
child 0, filename: string
child 1, status: string
child 2, additions: int64
child 3, deletions: int64
child 4, patch: string
date: timestamp[s]
author: string
message: string
to
{'sha': Value('string'), 'message': Value('string'), 'author': Value('string'), 'date': Value('timestamp[s]'), 'files': List({'filename': Value('string'), 'status': Value('string'), 'additions': Value('int64'), 'deletions': Value('int64'), 'patch': Value('string')}), '_from_cache': Value('bool')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
6a3a2e5b8e110de46707bfd031ba797de11fbb46: struct<bucket: string, cached_at: string>
child 0, bucket: string
child 1, cached_at: string
e9202245096e6af9d4b0cf73977c57ad5525816f: struct<bucket: string, cached_at: string>
child 0, bucket: string
child 1, cached_at: string
fb43f7b4ede3be3f19d8f9b8200adb8139198686: struct<bucket: string, cached_at: string>
child 0, bucket: string
child 1, cached_at: string
73dab1d1e48c9cd5db973e76e6f9bd1936e895dc: struct<bucket: string, cached_at: string>
child 0, bucket: string
child 1, cached_at: string
c6cd2bdc4915f935442e05a7d85c1b315569a756: struct<bucket: string, cached_at: string>
child 0, bucket: string
child 1, cached_at: string
2c34d28a74dd984ee64f0e53972a54d0d0faf6dd: struct<bucket: string, cached_at: string>
child 0, bucket: string
child 1, cached_at: string
sha: string
_from_cache: bool
files: list<item: struct<filename: string, status: string, additions: int64, deletions: int64, patch: strin (... 3 chars omitted)
child 0, item: struct<filename: string, status: string, additions: int64, deletions: int64, patch: string>
child 0, filename: string
child 1, status: string
child 2, additions: int64
child 3, deletions: int64
child 4, patch: string
date: timestamp[s]
author: string
message: string
to
{'sha': Value('string'), 'message': Value('string'), 'author': Value('string'), 'date': Value('timestamp[s]'), 'files': List({'filename': Value('string'), 'status': Value('string'), 'additions': Value('int64'), 'deletions': Value('int64'), 'patch': Value('string')}), '_from_cache': Value('bool')}
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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