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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
name: string
version: string
canonical: string
repository: string
huggingface_dataset: string
machine_readable: struct<live: string, ai_digital: string, knowledge_feed: string, capabilities: string, repomaster: s (... 64 chars omitted)
  child 0, live: string
  child 1, ai_digital: string
  child 2, knowledge_feed: string
  child 3, capabilities: string
  child 4, repomaster: string
  child 5, research_progress: string
  child 6, llms: string
  child 7, sitemap: string
privacy: string
updated: string
start_local: timestamp[s]
goal: string
steps: struct<package: struct<complete: bool, detail: string, updated_local: null>, links: struct<complete: (... 340 chars omitted)
  child 0, package: struct<complete: bool, detail: string, updated_local: null>
      child 0, complete: bool
      child 1, detail: string
      child 2, updated_local: null
  child 1, links: struct<complete: bool, detail: string, updated_local: null>
      child 0, complete: bool
      child 1, detail: string
      child 2, updated_local: null
  child 2, publish: struct<complete: bool, detail: string, updated_local: null>
      child 0, complete: bool
      child 1, detail: string
      child 2, updated_local: null
  child 3, public_verify: struct<complete: bool, detail: string, updated_local: null>
      child 0, complete: bool
      child 1, detail: string
      child 2, updated_local: null
  child 4, discovery: struct<complete: bool, detail: string, updated_local: null>
      child 0, complete: bool
      child 1, detail: string
      child 2, updated_local: null
  child 5, optional_mirror: struct<complete: bool, detail: string, updated_local: null>
      child 0, complete: bool
      child 1, detail: string
      child 2, updated_local: null
percent: double
initial_max_target_local: timestamp[s]
guarantee_boundary: string
eta_local: timestamp[s]
updated_local: string
project_page: string
to
{'goal': Value('string'), 'percent': Value('float64'), 'steps': {'package': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'links': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'publish': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'public_verify': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'discovery': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'optional_mirror': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}}, 'start_local': Value('timestamp[s]'), 'initial_max_target_local': Value('timestamp[s]'), 'eta_local': Value('timestamp[s]'), 'project_page': Value('string'), 'guarantee_boundary': Value('string'), 'updated_local': 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
              name: string
              version: string
              canonical: string
              repository: string
              huggingface_dataset: string
              machine_readable: struct<live: string, ai_digital: string, knowledge_feed: string, capabilities: string, repomaster: s (... 64 chars omitted)
                child 0, live: string
                child 1, ai_digital: string
                child 2, knowledge_feed: string
                child 3, capabilities: string
                child 4, repomaster: string
                child 5, research_progress: string
                child 6, llms: string
                child 7, sitemap: string
              privacy: string
              updated: string
              start_local: timestamp[s]
              goal: string
              steps: struct<package: struct<complete: bool, detail: string, updated_local: null>, links: struct<complete: (... 340 chars omitted)
                child 0, package: struct<complete: bool, detail: string, updated_local: null>
                    child 0, complete: bool
                    child 1, detail: string
                    child 2, updated_local: null
                child 1, links: struct<complete: bool, detail: string, updated_local: null>
                    child 0, complete: bool
                    child 1, detail: string
                    child 2, updated_local: null
                child 2, publish: struct<complete: bool, detail: string, updated_local: null>
                    child 0, complete: bool
                    child 1, detail: string
                    child 2, updated_local: null
                child 3, public_verify: struct<complete: bool, detail: string, updated_local: null>
                    child 0, complete: bool
                    child 1, detail: string
                    child 2, updated_local: null
                child 4, discovery: struct<complete: bool, detail: string, updated_local: null>
                    child 0, complete: bool
                    child 1, detail: string
                    child 2, updated_local: null
                child 5, optional_mirror: struct<complete: bool, detail: string, updated_local: null>
                    child 0, complete: bool
                    child 1, detail: string
                    child 2, updated_local: null
              percent: double
              initial_max_target_local: timestamp[s]
              guarantee_boundary: string
              eta_local: timestamp[s]
              updated_local: string
              project_page: string
              to
              {'goal': Value('string'), 'percent': Value('float64'), 'steps': {'package': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'links': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'publish': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'public_verify': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'discovery': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}, 'optional_mirror': {'complete': Value('bool'), 'detail': Value('string'), 'updated_local': Value('null')}}, 'start_local': Value('timestamp[s]'), 'initial_max_target_local': Value('timestamp[s]'), 'eta_local': Value('timestamp[s]'), 'project_page': Value('string'), 'guarantee_boundary': Value('string'), 'updated_local': Value('string')}
              because column names don't match

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