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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
runId: string
pollIndex: int64
capturedAt: string
source: string
request: struct<url: string, category: string, provider: string, filter: string, start: int64, end: int64, in (... 19 chars omitted)
  child 0, url: string
  child 1, category: string
  child 2, provider: string
  child 3, filter: string
  child 4, start: int64
  child 5, end: int64
  child 6, includeMarkets: bool
response: struct<status: int64, latencyMs: double, body: struct<data: list<item: struct<eventId: string, isAct (... 998 chars omitted)
  child 0, status: int64
  child 1, latencyMs: double
  child 2, body: struct<data: list<item: struct<eventId: string, isActive: bool, isLive: bool, category: string, subc (... 950 chars omitted)
      child 0, data: list<item: struct<eventId: string, isActive: bool, isLive: bool, category: string, subcategory: stri (... 861 chars omitted)
          child 0, item: struct<eventId: string, isActive: bool, isLive: bool, category: string, subcategory: string, tags: l (... 849 chars omitted)
              child 0, eventId: string
              child 1, isActive: bool
              child 2, isLive: bool
              child 3, category: string
              child 4, subcategory: string
              child 5, tags: list<item: string>
                  child 0, item: string
              child 6, metadata: struct<slug: string, title: string, isLive: bool, series: string, eventId: string, imageUrl: string, (... 43 chars omitted)
                  child 0, slug: string
           
...
hild 0, item: string
                      child 17, marketOptions: list<item: struct<label: string, buyYes: bool>>
                          child 0, item: struct<label: string, buyYes: bool>
                              child 0, label: string
                              child 1, buyYes: bool
                      child 18, sportsMarketType: null
                      child 19, sportsLine: null
      child 1, pagination: struct<start: int64, end: int64, total: int64, hasNext: bool>
          child 0, start: int64
          child 1, end: int64
          child 2, total: int64
          child 3, hasNext: bool
matching: struct<eventSlugIncludes: list<item: string>, eventTitleIncludes: list<item: string>, matchedEventCo (... 95 chars omitted)
  child 0, eventSlugIncludes: list<item: string>
      child 0, item: string
  child 1, eventTitleIncludes: list<item: string>
      child 0, item: string
  child 2, matchedEventCount: int64
  child 3, matchedEventKeys: list<item: struct<eventId: string, slug: string, title: string>>
      child 0, item: struct<eventId: string, slug: string, title: string>
          child 0, eventId: string
          child 1, slug: string
          child 2, title: string
error: string
market: struct<eventId: string, eventSlug: string, eventTitle: string, marketId: string, marketTitle: string (... 1 chars omitted)
  child 0, eventId: string
  child 1, eventSlug: string
  child 2, eventTitle: string
  child 3, marketId: string
  child 4, marketTitle: string
to
{'runId': Value('string'), 'pollIndex': Value('int64'), 'capturedAt': Value('string'), 'source': Value('string'), 'market': {'eventId': Value('string'), 'eventSlug': Value('string'), 'eventTitle': Value('string'), 'marketId': Value('string'), 'marketTitle': Value('string')}, 'error': 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(
                         ^^^^^^^^^
                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 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, 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 130, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              runId: string
              pollIndex: int64
              capturedAt: string
              source: string
              request: struct<url: string, category: string, provider: string, filter: string, start: int64, end: int64, in (... 19 chars omitted)
                child 0, url: string
                child 1, category: string
                child 2, provider: string
                child 3, filter: string
                child 4, start: int64
                child 5, end: int64
                child 6, includeMarkets: bool
              response: struct<status: int64, latencyMs: double, body: struct<data: list<item: struct<eventId: string, isAct (... 998 chars omitted)
                child 0, status: int64
                child 1, latencyMs: double
                child 2, body: struct<data: list<item: struct<eventId: string, isActive: bool, isLive: bool, category: string, subc (... 950 chars omitted)
                    child 0, data: list<item: struct<eventId: string, isActive: bool, isLive: bool, category: string, subcategory: stri (... 861 chars omitted)
                        child 0, item: struct<eventId: string, isActive: bool, isLive: bool, category: string, subcategory: string, tags: l (... 849 chars omitted)
                            child 0, eventId: string
                            child 1, isActive: bool
                            child 2, isLive: bool
                            child 3, category: string
                            child 4, subcategory: string
                            child 5, tags: list<item: string>
                                child 0, item: string
                            child 6, metadata: struct<slug: string, title: string, isLive: bool, series: string, eventId: string, imageUrl: string, (... 43 chars omitted)
                                child 0, slug: string
                         
              ...
              hild 0, item: string
                                    child 17, marketOptions: list<item: struct<label: string, buyYes: bool>>
                                        child 0, item: struct<label: string, buyYes: bool>
                                            child 0, label: string
                                            child 1, buyYes: bool
                                    child 18, sportsMarketType: null
                                    child 19, sportsLine: null
                    child 1, pagination: struct<start: int64, end: int64, total: int64, hasNext: bool>
                        child 0, start: int64
                        child 1, end: int64
                        child 2, total: int64
                        child 3, hasNext: bool
              matching: struct<eventSlugIncludes: list<item: string>, eventTitleIncludes: list<item: string>, matchedEventCo (... 95 chars omitted)
                child 0, eventSlugIncludes: list<item: string>
                    child 0, item: string
                child 1, eventTitleIncludes: list<item: string>
                    child 0, item: string
                child 2, matchedEventCount: int64
                child 3, matchedEventKeys: list<item: struct<eventId: string, slug: string, title: string>>
                    child 0, item: struct<eventId: string, slug: string, title: string>
                        child 0, eventId: string
                        child 1, slug: string
                        child 2, title: string
              error: string
              market: struct<eventId: string, eventSlug: string, eventTitle: string, marketId: string, marketTitle: string (... 1 chars omitted)
                child 0, eventId: string
                child 1, eventSlug: string
                child 2, eventTitle: string
                child 3, marketId: string
                child 4, marketTitle: string
              to
              {'runId': Value('string'), 'pollIndex': Value('int64'), 'capturedAt': Value('string'), 'source': Value('string'), 'market': {'eventId': Value('string'), 'eventSlug': Value('string'), 'eventTitle': Value('string'), 'marketId': Value('string'), 'marketTitle': Value('string')}, 'error': Value('string')}
              because column names don't match

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