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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
ts: timestamp[s]
price: double
label: string
score: double
iv_skew: struct<risk_reversal: double, call_25d_iv: double, put_25d_iv: double, atm_iv: double, skew_bias: st (... 5 chars omitted)
  child 0, risk_reversal: double
  child 1, call_25d_iv: double
  child 2, put_25d_iv: double
  child 3, atm_iv: double
  child 4, skew_bias: string
qs_method: string
level_minus3: double
last_data_ts: double
level_minus1: double
future_price: double
level_plus2: double
center: double
pinning_metrics: struct<d_pts: double, k_sigma: double, sigma_full_day: double, tau_days: double, p_brownian_pct: dou (... 578 chars omitted)
  child 0, d_pts: double
  child 1, k_sigma: double
  child 2, sigma_full_day: double
  child 3, tau_days: double
  child 4, p_brownian_pct: double
  child 5, p_ou_pct: double
  child 6, amplification: double
  child 7, kappa: double
  child 8, kappa_tau: double
  child 9, kappa_tau_label: string
  child 10, quality: string
  child 11, signal_strength: string
  child 12, direction: string
  child 13, source: string
  child 14, pressure_label: string
  child 15, pressure_dir: int64
  child 16, hedge_magnitude: int64
  child 17, net_delta_oi: double
  child 18, call_oi_total: int64
  child 19, put_oi_total: int64
  child 20, oi_imbalance: int64
  child 21, pc_oi_ratio: double
  child 22, call_vol_total: int64
  child 23, put_vol_total: int64
  child 24, vol_skew: double
  child 25, total_oi: int64
  child 26, total_volume: int64
  child 27, net_delta_vol: double
  child 
...
ars omitted)
  child 0, dealer_delta_map: list<item: struct<s: double, dd_oi: double, dd_vol: double>>
      child 0, item: struct<s: double, dd_oi: double, dd_vol: double>
          child 0, s: double
          child 1, dd_oi: double
          child 2, dd_vol: double
  child 1, total_dd_oi: double
  child 2, total_dd_vol: double
  child 3, resistance_walls: list<item: struct<s: double, dd_vol: double>>
      child 0, item: struct<s: double, dd_vol: double>
          child 0, s: double
          child 1, dd_vol: double
sigma: struct<qs_method: struct<iv: double, iv_pct: double, dte_days: double, future: double, center: doubl (... 198 chars omitted)
  child 0, qs_method: struct<iv: double, iv_pct: double, dte_days: double, future: double, center: double, sigma_pts: doub (... 179 chars omitted)
      child 0, iv: double
      child 1, iv_pct: double
      child 2, dte_days: double
      child 3, future: double
      child 4, center: double
      child 5, sigma_pts: double
      child 6, level_plus1: double
      child 7, level_minus1: double
      child 8, level_plus2: double
      child 9, level_minus2: double
      child 10, level_plus3: double
      child 11, level_minus3: double
      child 12, level_plus0_5: double
      child 13, level_minus0_5: double
frozen_straddle: double
sigma_pts: double
datetime_utc: timestamp[s]
atm_strike: double
frozen_strike: double
active_tab_expiry_date: timestamp[s]
frozen_put_pr: double
frozen_date_et: timestamp[s]
premiums_frozen_ts: int64
to
{'ts': Value('int64'), 'last_data_ts': Value('float64'), 'datetime_utc': Value('timestamp[s]'), 'status': Value('string'), 'future_price': Value('float64'), 'atm_strike': Value('float64'), 'atm_frozen': Value('bool'), 'frozen_strike': Value('float64'), 'frozen_ts': Value('int64'), 'frozen_date_et': Value('timestamp[s]'), 'premiums_frozen': Value('bool'), 'frozen_call_pr': Value('float64'), 'frozen_put_pr': Value('float64'), 'frozen_straddle': Value('float64'), 'premiums_frozen_date_et': Value('timestamp[s]'), 'premiums_frozen_ts': Value('int64'), 'session_straddle': Value('float64'), 'straddle_premium': Value('float64'), 'session_iv': Value('float64'), 'qs_method': Value('string'), 'sigma_pts': Value('float64'), 'center': Value('float64'), 'level_plus1': Value('float64'), 'level_minus1': Value('float64'), 'level_plus2': Value('float64'), 'level_minus2': Value('float64'), 'level_plus3': Value('float64'), 'level_minus3': Value('float64'), 'dte_days': Value('float64'), 'active_tab_expiry_date': Value('timestamp[s]'), 'sigma': {'qs_method': {'iv': Value('float64'), 'iv_pct': Value('float64'), 'dte_days': Value('float64'), 'future': Value('float64'), 'center': Value('float64'), 'sigma_pts': Value('float64'), 'level_plus1': Value('float64'), 'level_minus1': Value('float64'), 'level_plus2': Value('float64'), 'level_minus2': Value('float64'), 'level_plus3': Value('float64'), 'level_minus3': Value('float64'), 'level_plus0_5': Value('float64'), 'level_minus0_5': Value('float64')}}, 'at
...
 Value('int64')}, 'gex': {'gex_profile': List({'s': Value('float64'), 'gex': Value('float64'), 'c_oi': Value('int64'), 'p_oi': Value('int64'), 'gamma': Value('float64')}), 'total_gex': Value('float64'), 'flip_strike': Value('float64'), 'positive_gex_zone': List(Value('float64')), 'negative_gex_zone': List(Value('float64')), 'gamma_walls': List({'s': Value('float64'), 'gex': Value('float64')}), 'regime': Value('string')}, 'max_pain': {'max_pain': Value('float64'), 'min_pain_value': Value('float64'), 'top3_candidates': List({'s': Value('float64'), 'pain': Value('float64')})}, 'iv_skew': {'risk_reversal': Value('float64'), 'call_25d_iv': Value('float64'), 'put_25d_iv': Value('float64'), 'atm_iv': Value('float64'), 'skew_bias': Value('string')}, 'charm': {'charm_net_vol': Value('float64'), 'charm_net_oi': Value('float64'), 'charm_alert': Value('string'), 'total_vol': Value('int64')}, 'vanna': {'vanna_net_vol': Value('float64'), 'vanna_net_oi': Value('float64'), 'max_vanna_strike': Value('float64'), 'max_vanna_val': Value('float64')}, 'dealer_delta_map': {'dealer_delta_map': List({'s': Value('float64'), 'dd_oi': Value('float64'), 'dd_vol': Value('float64')}), 'total_dd_oi': Value('float64'), 'total_dd_vol': Value('float64'), 'resistance_walls': List({'s': Value('float64'), 'dd_vol': Value('float64')})}, 'straddle_theory': {'str_theory': Value('float64'), 'str_real': Value('float64'), 'premium_ratio': Value('float64'), 'premium_excess': Value('float64'), 'signal': 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 478, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              ts: timestamp[s]
              price: double
              label: string
              score: double
              iv_skew: struct<risk_reversal: double, call_25d_iv: double, put_25d_iv: double, atm_iv: double, skew_bias: st (... 5 chars omitted)
                child 0, risk_reversal: double
                child 1, call_25d_iv: double
                child 2, put_25d_iv: double
                child 3, atm_iv: double
                child 4, skew_bias: string
              qs_method: string
              level_minus3: double
              last_data_ts: double
              level_minus1: double
              future_price: double
              level_plus2: double
              center: double
              pinning_metrics: struct<d_pts: double, k_sigma: double, sigma_full_day: double, tau_days: double, p_brownian_pct: dou (... 578 chars omitted)
                child 0, d_pts: double
                child 1, k_sigma: double
                child 2, sigma_full_day: double
                child 3, tau_days: double
                child 4, p_brownian_pct: double
                child 5, p_ou_pct: double
                child 6, amplification: double
                child 7, kappa: double
                child 8, kappa_tau: double
                child 9, kappa_tau_label: string
                child 10, quality: string
                child 11, signal_strength: string
                child 12, direction: string
                child 13, source: string
                child 14, pressure_label: string
                child 15, pressure_dir: int64
                child 16, hedge_magnitude: int64
                child 17, net_delta_oi: double
                child 18, call_oi_total: int64
                child 19, put_oi_total: int64
                child 20, oi_imbalance: int64
                child 21, pc_oi_ratio: double
                child 22, call_vol_total: int64
                child 23, put_vol_total: int64
                child 24, vol_skew: double
                child 25, total_oi: int64
                child 26, total_volume: int64
                child 27, net_delta_vol: double
                child 
              ...
              ars omitted)
                child 0, dealer_delta_map: list<item: struct<s: double, dd_oi: double, dd_vol: double>>
                    child 0, item: struct<s: double, dd_oi: double, dd_vol: double>
                        child 0, s: double
                        child 1, dd_oi: double
                        child 2, dd_vol: double
                child 1, total_dd_oi: double
                child 2, total_dd_vol: double
                child 3, resistance_walls: list<item: struct<s: double, dd_vol: double>>
                    child 0, item: struct<s: double, dd_vol: double>
                        child 0, s: double
                        child 1, dd_vol: double
              sigma: struct<qs_method: struct<iv: double, iv_pct: double, dte_days: double, future: double, center: doubl (... 198 chars omitted)
                child 0, qs_method: struct<iv: double, iv_pct: double, dte_days: double, future: double, center: double, sigma_pts: doub (... 179 chars omitted)
                    child 0, iv: double
                    child 1, iv_pct: double
                    child 2, dte_days: double
                    child 3, future: double
                    child 4, center: double
                    child 5, sigma_pts: double
                    child 6, level_plus1: double
                    child 7, level_minus1: double
                    child 8, level_plus2: double
                    child 9, level_minus2: double
                    child 10, level_plus3: double
                    child 11, level_minus3: double
                    child 12, level_plus0_5: double
                    child 13, level_minus0_5: double
              frozen_straddle: double
              sigma_pts: double
              datetime_utc: timestamp[s]
              atm_strike: double
              frozen_strike: double
              active_tab_expiry_date: timestamp[s]
              frozen_put_pr: double
              frozen_date_et: timestamp[s]
              premiums_frozen_ts: int64
              to
              {'ts': Value('int64'), 'last_data_ts': Value('float64'), 'datetime_utc': Value('timestamp[s]'), 'status': Value('string'), 'future_price': Value('float64'), 'atm_strike': Value('float64'), 'atm_frozen': Value('bool'), 'frozen_strike': Value('float64'), 'frozen_ts': Value('int64'), 'frozen_date_et': Value('timestamp[s]'), 'premiums_frozen': Value('bool'), 'frozen_call_pr': Value('float64'), 'frozen_put_pr': Value('float64'), 'frozen_straddle': Value('float64'), 'premiums_frozen_date_et': Value('timestamp[s]'), 'premiums_frozen_ts': Value('int64'), 'session_straddle': Value('float64'), 'straddle_premium': Value('float64'), 'session_iv': Value('float64'), 'qs_method': Value('string'), 'sigma_pts': Value('float64'), 'center': Value('float64'), 'level_plus1': Value('float64'), 'level_minus1': Value('float64'), 'level_plus2': Value('float64'), 'level_minus2': Value('float64'), 'level_plus3': Value('float64'), 'level_minus3': Value('float64'), 'dte_days': Value('float64'), 'active_tab_expiry_date': Value('timestamp[s]'), 'sigma': {'qs_method': {'iv': Value('float64'), 'iv_pct': Value('float64'), 'dte_days': Value('float64'), 'future': Value('float64'), 'center': Value('float64'), 'sigma_pts': Value('float64'), 'level_plus1': Value('float64'), 'level_minus1': Value('float64'), 'level_plus2': Value('float64'), 'level_minus2': Value('float64'), 'level_plus3': Value('float64'), 'level_minus3': Value('float64'), 'level_plus0_5': Value('float64'), 'level_minus0_5': Value('float64')}}, 'at
              ...
               Value('int64')}, 'gex': {'gex_profile': List({'s': Value('float64'), 'gex': Value('float64'), 'c_oi': Value('int64'), 'p_oi': Value('int64'), 'gamma': Value('float64')}), 'total_gex': Value('float64'), 'flip_strike': Value('float64'), 'positive_gex_zone': List(Value('float64')), 'negative_gex_zone': List(Value('float64')), 'gamma_walls': List({'s': Value('float64'), 'gex': Value('float64')}), 'regime': Value('string')}, 'max_pain': {'max_pain': Value('float64'), 'min_pain_value': Value('float64'), 'top3_candidates': List({'s': Value('float64'), 'pain': Value('float64')})}, 'iv_skew': {'risk_reversal': Value('float64'), 'call_25d_iv': Value('float64'), 'put_25d_iv': Value('float64'), 'atm_iv': Value('float64'), 'skew_bias': Value('string')}, 'charm': {'charm_net_vol': Value('float64'), 'charm_net_oi': Value('float64'), 'charm_alert': Value('string'), 'total_vol': Value('int64')}, 'vanna': {'vanna_net_vol': Value('float64'), 'vanna_net_oi': Value('float64'), 'max_vanna_strike': Value('float64'), 'max_vanna_val': Value('float64')}, 'dealer_delta_map': {'dealer_delta_map': List({'s': Value('float64'), 'dd_oi': Value('float64'), 'dd_vol': Value('float64')}), 'total_dd_oi': Value('float64'), 'total_dd_vol': Value('float64'), 'resistance_walls': List({'s': Value('float64'), 'dd_vol': Value('float64')})}, 'straddle_theory': {'str_theory': Value('float64'), 'str_real': Value('float64'), 'premium_ratio': Value('float64'), 'premium_excess': Value('float64'), 'signal': Value('string')}}
              because column names don't match

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