Datasets:

---

ngyen

/

delta-intelligence-data

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
family: string
result: struct<annualized: bool, diluted_eps: null, financial_features_allowed: bool, months: int64, researc (... 1053 chars omitted)
  child 0, annualized: bool
  child 1, diluted_eps: null
  child 2, financial_features_allowed: bool
  child 3, months: int64
  child 4, research_ready: bool
  child 5, rounded: string
  child 6, status: string
  child 7, strict_normalized_eps: null
  child 8, value: string
  child 9, bvps: string
  child 10, pb: string
  child 11, pe: string
  child 12, production_review_status: string
  child 13, earnings_basis: string
  child 14, known_signals: int64
  child 15, signals: struct<cash_accrual_quality: struct<reason: string, value: int64>, improved_gross_margin: struct<rea (... 471 chars omitted)
      child 0, cash_accrual_quality: struct<reason: string, value: int64>
          child 0, reason: string
          child 1, value: int64
      child 1, improved_gross_margin: struct<reason: string, value: int64>
          child 0, reason: string
          child 1, value: int64
      child 2, improved_liquidity: struct<reason: string, value: int64>
          child 0, reason: string
          child 1, value: int64
      child 3, improved_roa: struct<reason: string, value: int64>
          child 0, reason: string
          child 1, value: int64
      child 4, improved_turnover: struct<reason: string, value: int64>
          child 0, reason: string
          child 1, value: int64
      child 5, no_parent_issuance: struct<reason: string, v
...
elative_path: string, run_id: string, sha256: string>
                  child 0, fetched_at: string
                  child 1, relative_path: string
                  child 2, run_id: string
                  child 3, sha256: string
      child 4, AdjustPrice: double
      child 5, AgreedValue: int64
      child 6, AgreedVolume: int64
      child 7, BasicPrice: double
      child 8, Ceiling: double
      child 9, ClosePrice: double
      child 10, Floor: double
      child 11, Symbol: string
      child 12, TotalValue: int64
      child 13, TradeDate: string
      child 14, Volume: int64
  child 8, publication_date: timestamp[s]
  child 9, raw_price: string
  child 10, share_basis: string
  child 11, source_date: struct<publication_date: timestamp[s], source: string, cache_association: string, cached_sha256: str (... 171 chars omitted)
      child 0, publication_date: timestamp[s]
      child 1, source: string
      child 2, cache_association: string
      child 3, cached_sha256: string
      child 4, create_date_raw: string
      child 5, link_file: string
      child 6, precision: string
      child 7, provider_id: string
      child 8, provider_type: string
      child 9, quarter: int64
      child 10, symbol: string
      child 11, title: string
      child 12, year: int64
  child 12, temporal_status: string
input-pins.json: string
summary.json: string
anchored-z-replay.csv: string
anchored-z-replay.json: string
interest-evidence.csv: string
interest-evidence.json: string
to
{'anchored-z-replay.csv': Value('string'), 'anchored-z-replay.json': Value('string'), 'input-pins.json': Value('string'), 'interest-evidence.csv': Value('string'), 'interest-evidence.json': Value('string'), 'summary.json': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              family: string
              result: struct<annualized: bool, diluted_eps: null, financial_features_allowed: bool, months: int64, researc (... 1053 chars omitted)
                child 0, annualized: bool
                child 1, diluted_eps: null
                child 2, financial_features_allowed: bool
                child 3, months: int64
                child 4, research_ready: bool
                child 5, rounded: string
                child 6, status: string
                child 7, strict_normalized_eps: null
                child 8, value: string
                child 9, bvps: string
                child 10, pb: string
                child 11, pe: string
                child 12, production_review_status: string
                child 13, earnings_basis: string
                child 14, known_signals: int64
                child 15, signals: struct<cash_accrual_quality: struct<reason: string, value: int64>, improved_gross_margin: struct<rea (... 471 chars omitted)
                    child 0, cash_accrual_quality: struct<reason: string, value: int64>
                        child 0, reason: string
                        child 1, value: int64
                    child 1, improved_gross_margin: struct<reason: string, value: int64>
                        child 0, reason: string
                        child 1, value: int64
                    child 2, improved_liquidity: struct<reason: string, value: int64>
                        child 0, reason: string
                        child 1, value: int64
                    child 3, improved_roa: struct<reason: string, value: int64>
                        child 0, reason: string
                        child 1, value: int64
                    child 4, improved_turnover: struct<reason: string, value: int64>
                        child 0, reason: string
                        child 1, value: int64
                    child 5, no_parent_issuance: struct<reason: string, v
              ...
              elative_path: string, run_id: string, sha256: string>
                                child 0, fetched_at: string
                                child 1, relative_path: string
                                child 2, run_id: string
                                child 3, sha256: string
                    child 4, AdjustPrice: double
                    child 5, AgreedValue: int64
                    child 6, AgreedVolume: int64
                    child 7, BasicPrice: double
                    child 8, Ceiling: double
                    child 9, ClosePrice: double
                    child 10, Floor: double
                    child 11, Symbol: string
                    child 12, TotalValue: int64
                    child 13, TradeDate: string
                    child 14, Volume: int64
                child 8, publication_date: timestamp[s]
                child 9, raw_price: string
                child 10, share_basis: string
                child 11, source_date: struct<publication_date: timestamp[s], source: string, cache_association: string, cached_sha256: str (... 171 chars omitted)
                    child 0, publication_date: timestamp[s]
                    child 1, source: string
                    child 2, cache_association: string
                    child 3, cached_sha256: string
                    child 4, create_date_raw: string
                    child 5, link_file: string
                    child 6, precision: string
                    child 7, provider_id: string
                    child 8, provider_type: string
                    child 9, quarter: int64
                    child 10, symbol: string
                    child 11, title: string
                    child 12, year: int64
                child 12, temporal_status: string
              input-pins.json: string
              summary.json: string
              anchored-z-replay.csv: string
              anchored-z-replay.json: string
              interest-evidence.csv: string
              interest-evidence.json: string
              to
              {'anchored-z-replay.csv': Value('string'), 'anchored-z-replay.json': Value('string'), 'input-pins.json': Value('string'), 'interest-evidence.csv': Value('string'), 'interest-evidence.json': Value('string'), 'summary.json': Value('string')}
              because column names don't match