Datasets:

---

SudharshanR

/

elidedb-demo-store

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
set_weights_dir: struct<pe: double, act: double, vid: double, obj: double, mot: double, prf: double, sig2: double, co (... 24 chars omitted)
  child 0, pe: double
  child 1, act: double
  child 2, vid: double
  child 3, obj: double
  child 4, mot: double
  child 5, prf: double
  child 6, sig2: double
  child 7, conj: double
  child 8, iv2: double
filter_quantile_dir: double
filter_channels_dir: list<item: string>
  child 0, item: string
cut_alpha_dir: double
nms_r_dir: int64
set_weights: struct<pe: double, act: double, vid: double, obj: double, mot: double, prf: double, sig2: double, co (... 24 chars omitted)
  child 0, pe: double
  child 1, act: double
  child 2, vid: double
  child 3, obj: double
  child 4, mot: double
  child 5, prf: double
  child 6, sig2: double
  child 7, conj: double
  child 8, iv2: double
filter_quantile: double
filter_channels: list<item: null>
  child 0, item: null
cut_alpha: double
nms_r: int64
fitted_on: string
loqo_mean: double
weights: struct<app: double, ctx: double, lex: double, met: double, mot: double, anc: double, obj: double, vi (... 35 chars omitted)
  child 0, app: double
  child 1, ctx: double
  child 2, lex: double
  child 3, met: double
  child 4, mot: double
  child 5, anc: double
  child 6, obj: double
  child 7, vid: double
  child 8, pe: double
  child 9, act: double
score_top10: int64
weights_dir: struct<app: double, ctx: double, lex: double, met: double, mot: double, anc: double, obj: double, vi (... 35 chars omitted)
  child 0, app: double
  child 1, ctx: double
  child 2, lex: double
  child 3, met: double
  child 4, mot: double
  child 5, anc: double
  child 6, obj: double
  child 7, vid: double
  child 8, pe: double
  child 9, act: double
to
{'fitted_on': Value('string'), 'score_top10': Value('int64'), 'weights': {'app': Value('float64'), 'ctx': Value('float64'), 'lex': Value('float64'), 'met': Value('float64'), 'mot': Value('float64'), 'anc': Value('float64'), 'obj': Value('float64'), 'vid': Value('float64'), 'pe': Value('float64'), 'act': Value('float64')}, 'weights_dir': {'app': Value('float64'), 'ctx': Value('float64'), 'lex': Value('float64'), 'met': Value('float64'), 'mot': Value('float64'), 'anc': Value('float64'), 'obj': Value('float64'), 'vid': Value('float64'), 'pe': Value('float64'), 'act': 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
              set_weights_dir: struct<pe: double, act: double, vid: double, obj: double, mot: double, prf: double, sig2: double, co (... 24 chars omitted)
                child 0, pe: double
                child 1, act: double
                child 2, vid: double
                child 3, obj: double
                child 4, mot: double
                child 5, prf: double
                child 6, sig2: double
                child 7, conj: double
                child 8, iv2: double
              filter_quantile_dir: double
              filter_channels_dir: list<item: string>
                child 0, item: string
              cut_alpha_dir: double
              nms_r_dir: int64
              set_weights: struct<pe: double, act: double, vid: double, obj: double, mot: double, prf: double, sig2: double, co (... 24 chars omitted)
                child 0, pe: double
                child 1, act: double
                child 2, vid: double
                child 3, obj: double
                child 4, mot: double
                child 5, prf: double
                child 6, sig2: double
                child 7, conj: double
                child 8, iv2: double
              filter_quantile: double
              filter_channels: list<item: null>
                child 0, item: null
              cut_alpha: double
              nms_r: int64
              fitted_on: string
              loqo_mean: double
              weights: struct<app: double, ctx: double, lex: double, met: double, mot: double, anc: double, obj: double, vi (... 35 chars omitted)
                child 0, app: double
                child 1, ctx: double
                child 2, lex: double
                child 3, met: double
                child 4, mot: double
                child 5, anc: double
                child 6, obj: double
                child 7, vid: double
                child 8, pe: double
                child 9, act: double
              score_top10: int64
              weights_dir: struct<app: double, ctx: double, lex: double, met: double, mot: double, anc: double, obj: double, vi (... 35 chars omitted)
                child 0, app: double
                child 1, ctx: double
                child 2, lex: double
                child 3, met: double
                child 4, mot: double
                child 5, anc: double
                child 6, obj: double
                child 7, vid: double
                child 8, pe: double
                child 9, act: double
              to
              {'fitted_on': Value('string'), 'score_top10': Value('int64'), 'weights': {'app': Value('float64'), 'ctx': Value('float64'), 'lex': Value('float64'), 'met': Value('float64'), 'mot': Value('float64'), 'anc': Value('float64'), 'obj': Value('float64'), 'vid': Value('float64'), 'pe': Value('float64'), 'act': Value('float64')}, 'weights_dir': {'app': Value('float64'), 'ctx': Value('float64'), 'lex': Value('float64'), 'met': Value('float64'), 'mot': Value('float64'), 'anc': Value('float64'), 'obj': Value('float64'), 'vid': Value('float64'), 'pe': Value('float64'), 'act': Value('float64')}}
              because column names don't match