Datasets:

---

agharsallah

/

ttogqk77go-repro

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
layers: list<item: struct<layer: int64, l2: double, cosine: double, pr_orig: double, pr_hyper: double, delta (... 14 chars omitted)
  child 0, item: struct<layer: int64, l2: double, cosine: double, pr_orig: double, pr_hyper: double, delta_dim: doubl (... 2 chars omitted)
      child 0, layer: int64
      child 1, l2: double
      child 2, cosine: double
      child 3, pr_orig: double
      child 4, pr_hyper: double
      child 5, delta_dim: double
l2_prev: double
l2_final: double
l2_ratio_final_over_prev: double
delta_dim_final: double
median_delta_dim_intermediate: double
final_is_max_delta_dim: bool
entropy_hyper_mean: double
entropy_T1_mean: double
H_hyper: double
orig_Tstar: struct<ttr: double, ttr_se: double, bigram_rep: double, bigram_rep_se: double, trigram_rep: double,  (... 29 chars omitted)
  child 0, ttr: double
  child 1, ttr_se: double
  child 2, bigram_rep: double
  child 3, bigram_rep_se: double
  child 4, trigram_rep: double
  child 5, ttr_list: list<item: double>
      child 0, item: double
H_orig: double
T_star: double
p_entropy_match: double
orig_T1: struct<ttr: double, ttr_se: double, bigram_rep: double, bigram_rep_se: double, trigram_rep: double,  (... 29 chars omitted)
  child 0, ttr: double
  child 1, ttr_se: double
  child 2, bigram_rep: double
  child 3, bigram_rep_se: double
  child 4, trigram_rep: double
  child 5, ttr_list: list<item: double>
      child 0, item: double
spearman_rho_vs_original: double
hyperfit: struct<ttr: double, ttr_se: double, bigram_rep: double, bigram_rep_se: double, trigram_rep: double,  (... 29 chars omitted)
  child 0, ttr: double
  child 1, ttr_se: double
  child 2, bigram_rep: double
  child 3, bigram_rep_se: double
  child 4, trigram_rep: double
  child 5, ttr_list: list<item: double>
      child 0, item: double
origin_rank_top1_frac: double
p_ttr_diff: double
entropy_Tstar_mean: double
origin_rank_2_10_frac: double
top1_agreement: double
origin_rank_gt10_frac: double
to
{'T_star': Value('float64'), 'H_hyper': Value('float64'), 'H_orig': Value('float64'), 'hyperfit': {'ttr': Value('float64'), 'ttr_se': Value('float64'), 'bigram_rep': Value('float64'), 'bigram_rep_se': Value('float64'), 'trigram_rep': Value('float64'), 'ttr_list': List(Value('float64'))}, 'orig_T1': {'ttr': Value('float64'), 'ttr_se': Value('float64'), 'bigram_rep': Value('float64'), 'bigram_rep_se': Value('float64'), 'trigram_rep': Value('float64'), 'ttr_list': List(Value('float64'))}, 'orig_Tstar': {'ttr': Value('float64'), 'ttr_se': Value('float64'), 'bigram_rep': Value('float64'), 'bigram_rep_se': Value('float64'), 'trigram_rep': Value('float64'), 'ttr_list': List(Value('float64'))}, 'entropy_hyper_mean': Value('float64'), 'entropy_Tstar_mean': Value('float64'), 'entropy_T1_mean': Value('float64'), 'p_entropy_match': Value('float64'), 'p_ttr_diff': Value('float64'), 'top1_agreement': Value('float64'), 'spearman_rho_vs_original': Value('float64'), 'origin_rank_top1_frac': Value('float64'), 'origin_rank_2_10_frac': Value('float64'), 'origin_rank_gt10_frac': Value('float64')}
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 489, 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
              layers: list<item: struct<layer: int64, l2: double, cosine: double, pr_orig: double, pr_hyper: double, delta (... 14 chars omitted)
                child 0, item: struct<layer: int64, l2: double, cosine: double, pr_orig: double, pr_hyper: double, delta_dim: doubl (... 2 chars omitted)
                    child 0, layer: int64
                    child 1, l2: double
                    child 2, cosine: double
                    child 3, pr_orig: double
                    child 4, pr_hyper: double
                    child 5, delta_dim: double
              l2_prev: double
              l2_final: double
              l2_ratio_final_over_prev: double
              delta_dim_final: double
              median_delta_dim_intermediate: double
              final_is_max_delta_dim: bool
              entropy_hyper_mean: double
              entropy_T1_mean: double
              H_hyper: double
              orig_Tstar: struct<ttr: double, ttr_se: double, bigram_rep: double, bigram_rep_se: double, trigram_rep: double,  (... 29 chars omitted)
                child 0, ttr: double
                child 1, ttr_se: double
                child 2, bigram_rep: double
                child 3, bigram_rep_se: double
                child 4, trigram_rep: double
                child 5, ttr_list: list<item: double>
                    child 0, item: double
              H_orig: double
              T_star: double
              p_entropy_match: double
              orig_T1: struct<ttr: double, ttr_se: double, bigram_rep: double, bigram_rep_se: double, trigram_rep: double,  (... 29 chars omitted)
                child 0, ttr: double
                child 1, ttr_se: double
                child 2, bigram_rep: double
                child 3, bigram_rep_se: double
                child 4, trigram_rep: double
                child 5, ttr_list: list<item: double>
                    child 0, item: double
              spearman_rho_vs_original: double
              hyperfit: struct<ttr: double, ttr_se: double, bigram_rep: double, bigram_rep_se: double, trigram_rep: double,  (... 29 chars omitted)
                child 0, ttr: double
                child 1, ttr_se: double
                child 2, bigram_rep: double
                child 3, bigram_rep_se: double
                child 4, trigram_rep: double
                child 5, ttr_list: list<item: double>
                    child 0, item: double
              origin_rank_top1_frac: double
              p_ttr_diff: double
              entropy_Tstar_mean: double
              origin_rank_2_10_frac: double
              top1_agreement: double
              origin_rank_gt10_frac: double
              to
              {'T_star': Value('float64'), 'H_hyper': Value('float64'), 'H_orig': Value('float64'), 'hyperfit': {'ttr': Value('float64'), 'ttr_se': Value('float64'), 'bigram_rep': Value('float64'), 'bigram_rep_se': Value('float64'), 'trigram_rep': Value('float64'), 'ttr_list': List(Value('float64'))}, 'orig_T1': {'ttr': Value('float64'), 'ttr_se': Value('float64'), 'bigram_rep': Value('float64'), 'bigram_rep_se': Value('float64'), 'trigram_rep': Value('float64'), 'ttr_list': List(Value('float64'))}, 'orig_Tstar': {'ttr': Value('float64'), 'ttr_se': Value('float64'), 'bigram_rep': Value('float64'), 'bigram_rep_se': Value('float64'), 'trigram_rep': Value('float64'), 'ttr_list': List(Value('float64'))}, 'entropy_hyper_mean': Value('float64'), 'entropy_Tstar_mean': Value('float64'), 'entropy_T1_mean': Value('float64'), 'p_entropy_match': Value('float64'), 'p_ttr_diff': Value('float64'), 'top1_agreement': Value('float64'), 'spearman_rho_vs_original': Value('float64'), 'origin_rank_top1_frac': Value('float64'), 'origin_rank_2_10_frac': Value('float64'), 'origin_rank_gt10_frac': Value('float64')}
              because column names don't match