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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
id: string
type: string
title: string
language: string
format: string
fullText: string
metadata: struct<rawSha256: string, contentSha256: string, estimatedTokens: int64, chapterCount: int64, wordCo (... 114 chars omitted)
  child 0, rawSha256: string
  child 1, contentSha256: string
  child 2, estimatedTokens: int64
  child 3, chapterCount: int64
  child 4, wordCount: int64
  child 5, characterCount: int64
  child 6, sourceType: string
  child 7, sourceUrl: string
  child 8, sourcePath: string
  child 9, retrievedAt: string
source: string
text: string
author: string
to
{'id': Value('string'), 'type': Value('string'), 'title': Value('string'), 'language': Value('string'), 'format': Value('string'), 'fullText': Value('string'), 'metadata': {'rawSha256': Value('string'), 'contentSha256': Value('string'), 'estimatedTokens': Value('int64'), 'chapterCount': Value('int64'), 'wordCount': Value('int64'), 'characterCount': Value('int64'), 'sourceType': Value('string'), 'sourceUrl': Value('string'), 'sourcePath': Value('string'), 'retrievedAt': Value('string')}, 'source': Value('string'), 'text': 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
              id: string
              type: string
              title: string
              language: string
              format: string
              fullText: string
              metadata: struct<rawSha256: string, contentSha256: string, estimatedTokens: int64, chapterCount: int64, wordCo (... 114 chars omitted)
                child 0, rawSha256: string
                child 1, contentSha256: string
                child 2, estimatedTokens: int64
                child 3, chapterCount: int64
                child 4, wordCount: int64
                child 5, characterCount: int64
                child 6, sourceType: string
                child 7, sourceUrl: string
                child 8, sourcePath: string
                child 9, retrievedAt: string
              source: string
              text: string
              author: string
              to
              {'id': Value('string'), 'type': Value('string'), 'title': Value('string'), 'language': Value('string'), 'format': Value('string'), 'fullText': Value('string'), 'metadata': {'rawSha256': Value('string'), 'contentSha256': Value('string'), 'estimatedTokens': Value('int64'), 'chapterCount': Value('int64'), 'wordCount': Value('int64'), 'characterCount': Value('int64'), 'sourceType': Value('string'), 'sourceUrl': Value('string'), 'sourcePath': Value('string'), 'retrievedAt': Value('string')}, 'source': Value('string'), 'text': Value('string')}
              because column names don't match

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