Datasets:

---

MinhTriet

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vimedaqa-ebft-e0-res-test

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Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
W: int64
chuỗi/ví_dụ: int64
s/ví_dụ: double
×SFT: double
VRAM_đỉnh_GB: double
pha2_6ô_h: double
pha3_h: double
n_train: int64
đường_ống_chạy_hết: bool
sức_chứa: struct<full_ft: bool, lora_r: int64>
  child 0, full_ft: bool
  child 1, lora_r: int64
gợi_ý_W_cho_pha_2_3: int64
phi_dim: int64
run: string
rollout: struct<G: int64, n: int64, W: int64>
  child 0, G: int64
  child 1, n: int64
  child 2, W: int64
lr: double
pha: int64
phút: double
đo_thời_gian: list<item: struct<W: int64, chuỗi/ví_dụ: int64, s/ví_dụ: double, ×SFT: double, VRAM_đỉnh (... 49 chars omitted)
  child 0, item: struct<W: int64, chuỗi/ví_dụ: int64, s/ví_dụ: double, ×SFT: double, VRAM_đỉnh_GB: double (... 37 chars omitted)
      child 0, W: int64
      child 1, chuỗi/ví_dụ: int64
      child 2, s/ví_dụ: double
      child 3, ×SFT: double
      child 4, VRAM_đỉnh_GB: double
      child 5, pha2_6ô_h: double
      child 6, pha3_h: double
to
{'pha': Value('int64'), 'run': Value('string'), 'n_train': Value('int64'), 'phút': Value('float64'), 'rollout': {'G': Value('int64'), 'n': Value('int64'), 'W': Value('int64')}, 'phi_dim': Value('int64'), 'lr': Value('float64'), 'sức_chứa': {'full_ft': Value('bool'), 'lora_r': Value('int64')}, 'đo_thời_gian': List({'W': Value('int64'), 'chuỗi/ví_dụ': Value('int64'), 's/ví_dụ': Value('float64'), '×SFT': Value('float64'), 'VRAM_đỉnh_GB': Value('float64'), 'pha2_6ô_h': Value('float64'), 'pha3_h': Value('float64')}), 'đường_ống_chạy_hết': Value('bool'), 'gợi_ý_W_cho_pha_2_3': Value('int64')}
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
              W: int64
              chuỗi/ví_dụ: int64
              s/ví_dụ: double
              ×SFT: double
              VRAM_đỉnh_GB: double
              pha2_6ô_h: double
              pha3_h: double
              n_train: int64
              đường_ống_chạy_hết: bool
              sức_chứa: struct<full_ft: bool, lora_r: int64>
                child 0, full_ft: bool
                child 1, lora_r: int64
              gợi_ý_W_cho_pha_2_3: int64
              phi_dim: int64
              run: string
              rollout: struct<G: int64, n: int64, W: int64>
                child 0, G: int64
                child 1, n: int64
                child 2, W: int64
              lr: double
              pha: int64
              phút: double
              đo_thời_gian: list<item: struct<W: int64, chuỗi/ví_dụ: int64, s/ví_dụ: double, ×SFT: double, VRAM_đỉnh (... 49 chars omitted)
                child 0, item: struct<W: int64, chuỗi/ví_dụ: int64, s/ví_dụ: double, ×SFT: double, VRAM_đỉnh_GB: double (... 37 chars omitted)
                    child 0, W: int64
                    child 1, chuỗi/ví_dụ: int64
                    child 2, s/ví_dụ: double
                    child 3, ×SFT: double
                    child 4, VRAM_đỉnh_GB: double
                    child 5, pha2_6ô_h: double
                    child 6, pha3_h: double
              to
              {'pha': Value('int64'), 'run': Value('string'), 'n_train': Value('int64'), 'phút': Value('float64'), 'rollout': {'G': Value('int64'), 'n': Value('int64'), 'W': Value('int64')}, 'phi_dim': Value('int64'), 'lr': Value('float64'), 'sức_chứa': {'full_ft': Value('bool'), 'lora_r': Value('int64')}, 'đo_thời_gian': List({'W': Value('int64'), 'chuỗi/ví_dụ': Value('int64'), 's/ví_dụ': Value('float64'), '×SFT': Value('float64'), 'VRAM_đỉnh_GB': Value('float64'), 'pha2_6ô_h': Value('float64'), 'pha3_h': Value('float64')}), 'đường_ống_chạy_hết': Value('bool'), 'gợi_ý_W_cho_pha_2_3': Value('int64')}
              because column names don't match