Datasets:

---

gm2024

/

maybe

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
snapshot: int64
n_eval: int64
best_V: double
gap: double
reached: bool
best_round: double
d_best: double
n_super: int64
n_within_1: int64
p50: double
p90: double
q_disc: struct<n: int64, min: double, max: double, mean: double>
  child 0, n: int64
  child 1, min: double
  child 2, max: double
  child 3, mean: double
q_sat: struct<n: int64, min: double, max: double, mean: double>
  child 0, n: int64
  child 1, min: double
  child 2, max: double
  child 3, mean: double
last_acquired: double
tr_disc: list<item: struct<n: int64, min: double, max: double, mean: double, tr: int64, volume: double>>
  child 0, item: struct<n: int64, min: double, max: double, mean: double, tr: int64, volume: double>
      child 0, n: int64
      child 1, min: double
      child 2, max: double
      child 3, mean: double
      child 4, tr: int64
      child 5, volume: double
tr_sat: list<item: struct<n: int64, min: double, max: double, mean: double, tr: int64, volume: double>>
  child 0, item: struct<n: int64, min: double, max: double, mean: double, tr: int64, volume: double>
      child 0, n: int64
      child 1, min: double
      child 2, max: double
      child 3, mean: double
      child 4, tr: int64
      child 5, volume: double
tr_best: double
n_tr: int64
function: string
dim: int64
seed: int64
method: string
budget: int64
threshold: double
overrides: struct<refit_hypers_every: int64, lbfgs_jac: string, lbfgs_jac_scheme: string, boundary_frac: double (... 1 chars omitted)
  child 0, refit_hypers_e
...
  child 21, beta_cycles: int64
  child 22, beta: double
  child 23, delta: double
  child 24, h: double
  child 25, N_pool_bound: int64
  child 26, N_pool_sat: int64
  child 27, N_pool: int64
  child 28, boundary_eps: double
  child 29, n_ref_max: int64
  child 30, n_cand_max: int64
  child 31, posterior_chunk: int64
  child 32, n_lbfgs_max: int64
  child 33, N_C: int64
  child 34, seed: int64
  child 35, LS_MAX: double
  child 36, lengthscale_init: double
  child 37, fix_lengthscale: bool
  child 38, label_TR_centers: bool
  child 39, warm_start_from_TRs: bool
  child 40, N_INIT_CAP: int64
  child 41, n_global_starts: int64
  child 42, lbfgs_workers: int64
  child 43, lbfgs_jac: string
  child 44, lbfgs_jac_eps: double
  child 45, lbfgs_jac_scheme: string
  child 46, M_cap: int64
  child 47, M_cap_sat: int64
  child 48, omega_disc: double
  child 49, omega_sat: double
  child 50, c: double
  child 51, w_ref: double
  child 52, w: int64
  child 53, use_w_eff: bool
  child 54, window: int64
  child 55, alpha: double
  child 56, u_frac: double
  child 57, a_floor: double
  child 58, eps_tol: double
  child 59, w_nov: double
  child 60, novelty_mode: string
  child 61, ell_nov_frac: double
  child 62, a_scale_mode: string
  child 63, a_scale_const: double
  child 64, refit_hypers_every: int64
  child 65, local_ls_mode: string
  child 66, acq_mode: string
  child 67, placement_mode: string
  child 68, boundary_exclusion: bool
  child 69, use_analytic_acq_grad: bool
runner: string
to
{'method': Value('string'), 'runner': Value('string'), 'overrides': {'refit_hypers_every': Value('int64'), 'lbfgs_jac': Value('string'), 'lbfgs_jac_scheme': Value('string'), 'boundary_frac': Value('float64')}, 'resolved': {'use_saturation': Value('bool'), 'N_TR_sat_max': Value('int64'), 'N_TR_bound_max': Value('int64'), 'Q_size_max': Value('int64'), 'max_sampling_budget': Value('int64'), 'Q_boundary_band': Value('float64'), 'q_acquire': Value('int64'), 'r_min': Value('float64'), 'acq_sat_floor': Value('float64'), 'soft_gate_weight': Value('float64'), 'reseed_known_region_penalty': Value('float64'), 'l_init_bound': Value('float64'), 'l_init_sat': Value('float64'), 'N_TR_init': Value('int64'), 'eps_target_sat': Value('float64'), 's_max_sat': Value('float64'), 'sat_grow_frac': Value('float64'), 'sat_budget_frac': Value('float64'), 'beta_schedule': Value('string'), 'beta_hi': Value('float64'), 'beta_lo': Value('float64'), 'beta_cycles': Value('int64'), 'beta': Value('float64'), 'delta': Value('float64'), 'h': Value('float64'), 'N_pool_bound': Value('int64'), 'N_pool_sat': Value('int64'), 'N_pool': Value('int64'), 'boundary_eps': Value('float64'), 'n_ref_max': Value('int64'), 'n_cand_max': Value('int64'), 'posterior_chunk': Value('int64'), 'n_lbfgs_max': Value('int64'), 'N_C': Value('int64'), 'seed': Value('int64'), 'LS_MAX': Value('float64'), 'lengthscale_init': Value('float64'), 'fix_lengthscale': Value('bool'), 'label_TR_centers': Value('bool'), 'warm_start_from_TRs': Value('bool'), 'N_INIT_CAP': Value('int64'), 'n_global_starts': Value('int64'), 'lbfgs_workers': Value('int64'), 'lbfgs_jac': Value('string'), 'lbfgs_jac_eps': Value('float64'), 'lbfgs_jac_scheme': Value('string'), 'M_cap': Value('int64'), 'M_cap_sat': Value('int64'), 'omega_disc': Value('float64'), 'omega_sat': Value('float64'), 'c': Value('float64'), 'w_ref': Value('float64'), 'w': Value('int64'), 'use_w_eff': Value('bool'), 'window': Value('int64'), 'alpha': Value('float64'), 'u_frac': Value('float64'), 'a_floor': Value('float64'), 'eps_tol': Value('float64'), 'w_nov': Value('float64'), 'novelty_mode': Value('string'), 'ell_nov_frac': Value('float64'), 'a_scale_mode': Value('string'), 'a_scale_const': Value('float64'), 'refit_hypers_every': Value('int64'), 'local_ls_mode': Value('string'), 'acq_mode': Value('string'), 'placement_mode': Value('string'), 'boundary_exclusion': Value('bool'), 'use_analytic_acq_grad': Value('bool')}}
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
              snapshot: int64
              n_eval: int64
              best_V: double
              gap: double
              reached: bool
              best_round: double
              d_best: double
              n_super: int64
              n_within_1: int64
              p50: double
              p90: double
              q_disc: struct<n: int64, min: double, max: double, mean: double>
                child 0, n: int64
                child 1, min: double
                child 2, max: double
                child 3, mean: double
              q_sat: struct<n: int64, min: double, max: double, mean: double>
                child 0, n: int64
                child 1, min: double
                child 2, max: double
                child 3, mean: double
              last_acquired: double
              tr_disc: list<item: struct<n: int64, min: double, max: double, mean: double, tr: int64, volume: double>>
                child 0, item: struct<n: int64, min: double, max: double, mean: double, tr: int64, volume: double>
                    child 0, n: int64
                    child 1, min: double
                    child 2, max: double
                    child 3, mean: double
                    child 4, tr: int64
                    child 5, volume: double
              tr_sat: list<item: struct<n: int64, min: double, max: double, mean: double, tr: int64, volume: double>>
                child 0, item: struct<n: int64, min: double, max: double, mean: double, tr: int64, volume: double>
                    child 0, n: int64
                    child 1, min: double
                    child 2, max: double
                    child 3, mean: double
                    child 4, tr: int64
                    child 5, volume: double
              tr_best: double
              n_tr: int64
              function: string
              dim: int64
              seed: int64
              method: string
              budget: int64
              threshold: double
              overrides: struct<refit_hypers_every: int64, lbfgs_jac: string, lbfgs_jac_scheme: string, boundary_frac: double (... 1 chars omitted)
                child 0, refit_hypers_e
              ...
                child 21, beta_cycles: int64
                child 22, beta: double
                child 23, delta: double
                child 24, h: double
                child 25, N_pool_bound: int64
                child 26, N_pool_sat: int64
                child 27, N_pool: int64
                child 28, boundary_eps: double
                child 29, n_ref_max: int64
                child 30, n_cand_max: int64
                child 31, posterior_chunk: int64
                child 32, n_lbfgs_max: int64
                child 33, N_C: int64
                child 34, seed: int64
                child 35, LS_MAX: double
                child 36, lengthscale_init: double
                child 37, fix_lengthscale: bool
                child 38, label_TR_centers: bool
                child 39, warm_start_from_TRs: bool
                child 40, N_INIT_CAP: int64
                child 41, n_global_starts: int64
                child 42, lbfgs_workers: int64
                child 43, lbfgs_jac: string
                child 44, lbfgs_jac_eps: double
                child 45, lbfgs_jac_scheme: string
                child 46, M_cap: int64
                child 47, M_cap_sat: int64
                child 48, omega_disc: double
                child 49, omega_sat: double
                child 50, c: double
                child 51, w_ref: double
                child 52, w: int64
                child 53, use_w_eff: bool
                child 54, window: int64
                child 55, alpha: double
                child 56, u_frac: double
                child 57, a_floor: double
                child 58, eps_tol: double
                child 59, w_nov: double
                child 60, novelty_mode: string
                child 61, ell_nov_frac: double
                child 62, a_scale_mode: string
                child 63, a_scale_const: double
                child 64, refit_hypers_every: int64
                child 65, local_ls_mode: string
                child 66, acq_mode: string
                child 67, placement_mode: string
                child 68, boundary_exclusion: bool
                child 69, use_analytic_acq_grad: bool
              runner: string
              to
              {'method': Value('string'), 'runner': Value('string'), 'overrides': {'refit_hypers_every': Value('int64'), 'lbfgs_jac': Value('string'), 'lbfgs_jac_scheme': Value('string'), 'boundary_frac': Value('float64')}, 'resolved': {'use_saturation': Value('bool'), 'N_TR_sat_max': Value('int64'), 'N_TR_bound_max': Value('int64'), 'Q_size_max': Value('int64'), 'max_sampling_budget': Value('int64'), 'Q_boundary_band': Value('float64'), 'q_acquire': Value('int64'), 'r_min': Value('float64'), 'acq_sat_floor': Value('float64'), 'soft_gate_weight': Value('float64'), 'reseed_known_region_penalty': Value('float64'), 'l_init_bound': Value('float64'), 'l_init_sat': Value('float64'), 'N_TR_init': Value('int64'), 'eps_target_sat': Value('float64'), 's_max_sat': Value('float64'), 'sat_grow_frac': Value('float64'), 'sat_budget_frac': Value('float64'), 'beta_schedule': Value('string'), 'beta_hi': Value('float64'), 'beta_lo': Value('float64'), 'beta_cycles': Value('int64'), 'beta': Value('float64'), 'delta': Value('float64'), 'h': Value('float64'), 'N_pool_bound': Value('int64'), 'N_pool_sat': Value('int64'), 'N_pool': Value('int64'), 'boundary_eps': Value('float64'), 'n_ref_max': Value('int64'), 'n_cand_max': Value('int64'), 'posterior_chunk': Value('int64'), 'n_lbfgs_max': Value('int64'), 'N_C': Value('int64'), 'seed': Value('int64'), 'LS_MAX': Value('float64'), 'lengthscale_init': Value('float64'), 'fix_lengthscale': Value('bool'), 'label_TR_centers': Value('bool'), 'warm_start_from_TRs': Value('bool'), 'N_INIT_CAP': Value('int64'), 'n_global_starts': Value('int64'), 'lbfgs_workers': Value('int64'), 'lbfgs_jac': Value('string'), 'lbfgs_jac_eps': Value('float64'), 'lbfgs_jac_scheme': Value('string'), 'M_cap': Value('int64'), 'M_cap_sat': Value('int64'), 'omega_disc': Value('float64'), 'omega_sat': Value('float64'), 'c': Value('float64'), 'w_ref': Value('float64'), 'w': Value('int64'), 'use_w_eff': Value('bool'), 'window': Value('int64'), 'alpha': Value('float64'), 'u_frac': Value('float64'), 'a_floor': Value('float64'), 'eps_tol': Value('float64'), 'w_nov': Value('float64'), 'novelty_mode': Value('string'), 'ell_nov_frac': Value('float64'), 'a_scale_mode': Value('string'), 'a_scale_const': Value('float64'), 'refit_hypers_every': Value('int64'), 'local_ls_mode': Value('string'), 'acq_mode': Value('string'), 'placement_mode': Value('string'), 'boundary_exclusion': Value('bool'), 'use_analytic_acq_grad': Value('bool')}}
              because column names don't match