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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
schemaVersion: int64
documents: list<item: struct<doc_id: string, doc_type: string, source_url: string, source_content_cid: string,  (... 790576 chars omitted)
  child 0, item: struct<doc_id: string, doc_type: string, source_url: string, source_content_cid: string, source_page (... 790564 chars omitted)
      child 0, doc_id: string
      child 1, doc_type: string
      child 2, source_url: string
      child 3, source_content_cid: string
      child 4, source_page_cid: string
      child 5, document_length: int64
      child 6, terms: struct<tax: double, volunteers: double, volunteer: double, details: double, metropolitan: double, fo (... 395153 chars omitted)
          child 0, tax: double
          child 1, volunteers: double
          child 2, volunteer: double
          child 3, details: double
          child 4, metropolitan: double
          child 5, food: double
          child 6, opportunities: double
          child 7, returns: double
          child 8, volunteering: double
          child 9, 000: double
          child 10, severe: double
          child 11, expenses: double
          child 12, weather: double
          child 13, activations: double
          child 14, person: double
          child 15, 2026: double
          child 16, more: double
          child 17, pantry: double
          child 18, amortization: double
          child 19, cryptocurrency: double
          child 20, depreciation: double
          child 21, following: double
          child 22, 109
...
31: int64
  child 24882, 15620: int64
  child 24883, 23618: int64
  child 24884, staf: int64
  child 24885, 13059: int64
  child 24886, 25675: int64
  child 24887, 19095: int64
  child 24888, enrichmen: int64
  child 24889, 22925: int64
  child 24890, 27222: int64
  child 24891, 19651: int64
  child 24892, 20272: int64
  child 24893, 24721: int64
  child 24894, 18140: int64
  child 24895, 21872: int64
  child 24896, 24922: int64
  child 24897, 27456: int64
  child 24898, 23048: int64
  child 24899, 17858: int64
k1: double
b: double
avgdl: double
documentCount: int64
maxTermsPerDocument: int64
datasetPath: string
artifacts: list<item: struct<path: string, bytes: int64, cid: string, role: string>>
  child 0, item: struct<path: string, bytes: int64, cid: string, role: string>
      child 0, path: string
      child 1, bytes: int64
      child 2, cid: string
      child 3, role: string
corpus: struct<name: string, source: string, documentCount: int64, embeddingModel: string, embeddingDimensio (... 9 chars omitted)
  child 0, name: string
  child 1, source: string
  child 2, documentCount: int64
  child 3, embeddingModel: string
  child 4, embeddingDimension: int64
sourcePackage: struct<path: string, build_manifest_cid: string, document_count: int64, graph_node_count: int64, gra (... 21 chars omitted)
  child 0, path: string
  child 1, build_manifest_cid: string
  child 2, document_count: int64
  child 3, graph_node_count: int64
  child 4, graph_edge_count: int64
datasetId: string
to
{'schemaVersion': Value('int64'), 'datasetId': Value('string'), 'datasetPath': Value('string'), 'corpus': {'name': Value('string'), 'source': Value('string'), 'documentCount': Value('int64'), 'embeddingModel': Value('string'), 'embeddingDimension': Value('int64')}, 'sourcePackage': {'path': Value('string'), 'build_manifest_cid': Value('string'), 'document_count': Value('int64'), 'graph_node_count': Value('int64'), 'graph_edge_count': Value('int64')}, 'artifacts': List({'path': Value('string'), 'bytes': Value('int64'), 'cid': Value('string'), 'role': Value('string')})}
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
              schemaVersion: int64
              documents: list<item: struct<doc_id: string, doc_type: string, source_url: string, source_content_cid: string,  (... 790576 chars omitted)
                child 0, item: struct<doc_id: string, doc_type: string, source_url: string, source_content_cid: string, source_page (... 790564 chars omitted)
                    child 0, doc_id: string
                    child 1, doc_type: string
                    child 2, source_url: string
                    child 3, source_content_cid: string
                    child 4, source_page_cid: string
                    child 5, document_length: int64
                    child 6, terms: struct<tax: double, volunteers: double, volunteer: double, details: double, metropolitan: double, fo (... 395153 chars omitted)
                        child 0, tax: double
                        child 1, volunteers: double
                        child 2, volunteer: double
                        child 3, details: double
                        child 4, metropolitan: double
                        child 5, food: double
                        child 6, opportunities: double
                        child 7, returns: double
                        child 8, volunteering: double
                        child 9, 000: double
                        child 10, severe: double
                        child 11, expenses: double
                        child 12, weather: double
                        child 13, activations: double
                        child 14, person: double
                        child 15, 2026: double
                        child 16, more: double
                        child 17, pantry: double
                        child 18, amortization: double
                        child 19, cryptocurrency: double
                        child 20, depreciation: double
                        child 21, following: double
                        child 22, 109
              ...
              31: int64
                child 24882, 15620: int64
                child 24883, 23618: int64
                child 24884, staf: int64
                child 24885, 13059: int64
                child 24886, 25675: int64
                child 24887, 19095: int64
                child 24888, enrichmen: int64
                child 24889, 22925: int64
                child 24890, 27222: int64
                child 24891, 19651: int64
                child 24892, 20272: int64
                child 24893, 24721: int64
                child 24894, 18140: int64
                child 24895, 21872: int64
                child 24896, 24922: int64
                child 24897, 27456: int64
                child 24898, 23048: int64
                child 24899, 17858: int64
              k1: double
              b: double
              avgdl: double
              documentCount: int64
              maxTermsPerDocument: int64
              datasetPath: string
              artifacts: list<item: struct<path: string, bytes: int64, cid: string, role: string>>
                child 0, item: struct<path: string, bytes: int64, cid: string, role: string>
                    child 0, path: string
                    child 1, bytes: int64
                    child 2, cid: string
                    child 3, role: string
              corpus: struct<name: string, source: string, documentCount: int64, embeddingModel: string, embeddingDimensio (... 9 chars omitted)
                child 0, name: string
                child 1, source: string
                child 2, documentCount: int64
                child 3, embeddingModel: string
                child 4, embeddingDimension: int64
              sourcePackage: struct<path: string, build_manifest_cid: string, document_count: int64, graph_node_count: int64, gra (... 21 chars omitted)
                child 0, path: string
                child 1, build_manifest_cid: string
                child 2, document_count: int64
                child 3, graph_node_count: int64
                child 4, graph_edge_count: int64
              datasetId: string
              to
              {'schemaVersion': Value('int64'), 'datasetId': Value('string'), 'datasetPath': Value('string'), 'corpus': {'name': Value('string'), 'source': Value('string'), 'documentCount': Value('int64'), 'embeddingModel': Value('string'), 'embeddingDimension': Value('int64')}, 'sourcePackage': {'path': Value('string'), 'build_manifest_cid': Value('string'), 'document_count': Value('int64'), 'graph_node_count': Value('int64'), 'graph_edge_count': Value('int64')}, 'artifacts': List({'path': Value('string'), 'bytes': Value('int64'), 'cid': Value('string'), 'role': Value('string')})}
              because column names don't match

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