Datasets:

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glm46v-flash-k5-gptq-rot-benchmark

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Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
image_processor: struct<do_convert_rgb: bool, do_normalize: bool, do_rescale: bool, do_resize: bool, image_mean: list (... 240 chars omitted)
  child 0, do_convert_rgb: bool
  child 1, do_normalize: bool
  child 2, do_rescale: bool
  child 3, do_resize: bool
  child 4, image_mean: list<item: double>
      child 0, item: double
  child 5, image_processor_type: string
  child 6, image_std: list<item: double>
      child 0, item: double
  child 7, merge_size: int64
  child 8, patch_size: int64
  child 9, resample: int64
  child 10, rescale_factor: double
  child 11, size: struct<longest_edge: int64, shortest_edge: int64>
      child 0, longest_edge: int64
      child 1, shortest_edge: int64
  child 12, temporal_patch_size: int64
processor_class: string
video_processor: struct<do_convert_rgb: bool, do_normalize: bool, do_rescale: bool, do_resize: bool, do_sample_frames (... 384 chars omitted)
  child 0, do_convert_rgb: bool
  child 1, do_normalize: bool
  child 2, do_rescale: bool
  child 3, do_resize: bool
  child 4, do_sample_frames: bool
  child 5, fps: int64
  child 6, image_mean: list<item: double>
      child 0, item: double
  child 7, image_std: list<item: double>
      child 0, item: double
  child 8, max_duration: int64
  child 9, max_image_size: struct<longest_edge: int64>
      child 0, longest_edge: int64
  child 10, merge_size: int64
  child 11, num_frames: int64
  child 12, patch_size: int64
  child 13, resample: int64
  child 14, rescale_factor: double
  child 15, return_metadata: bool
  child 16, size: struct<longest_edge: int64, shortest_edge: int64>
      child 0, longest_edge: int64
      child 1, shortest_edge: int64
  child 17, temporal_patch_size: int64
  child 18, video_processor_type: string
eval_sequences: int64
method: string
eval_seq_len: int64
delta_ppl_percent: double
gptq_block: int64
after: struct<ce: double, ppl: double, tokens: int64>
  child 0, ce: double
  child 1, ppl: double
  child 2, tokens: int64
model: string
before: struct<ce: double, ppl: double, tokens: int64>
  child 0, ce: double
  child 1, ppl: double
  child 2, tokens: int64
calib_seq_len: int64
calib_sequences: int64
to
{'model': Value('string'), 'method': Value('string'), 'calib_sequences': Value('int64'), 'calib_seq_len': Value('int64'), 'eval_sequences': Value('int64'), 'eval_seq_len': Value('int64'), 'gptq_block': Value('int64'), 'before': {'ce': Value('float64'), 'ppl': Value('float64'), 'tokens': Value('int64')}, 'after': {'ce': Value('float64'), 'ppl': Value('float64'), 'tokens': Value('int64')}, 'delta_ppl_percent': Value('float64')}
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
              image_processor: struct<do_convert_rgb: bool, do_normalize: bool, do_rescale: bool, do_resize: bool, image_mean: list (... 240 chars omitted)
                child 0, do_convert_rgb: bool
                child 1, do_normalize: bool
                child 2, do_rescale: bool
                child 3, do_resize: bool
                child 4, image_mean: list<item: double>
                    child 0, item: double
                child 5, image_processor_type: string
                child 6, image_std: list<item: double>
                    child 0, item: double
                child 7, merge_size: int64
                child 8, patch_size: int64
                child 9, resample: int64
                child 10, rescale_factor: double
                child 11, size: struct<longest_edge: int64, shortest_edge: int64>
                    child 0, longest_edge: int64
                    child 1, shortest_edge: int64
                child 12, temporal_patch_size: int64
              processor_class: string
              video_processor: struct<do_convert_rgb: bool, do_normalize: bool, do_rescale: bool, do_resize: bool, do_sample_frames (... 384 chars omitted)
                child 0, do_convert_rgb: bool
                child 1, do_normalize: bool
                child 2, do_rescale: bool
                child 3, do_resize: bool
                child 4, do_sample_frames: bool
                child 5, fps: int64
                child 6, image_mean: list<item: double>
                    child 0, item: double
                child 7, image_std: list<item: double>
                    child 0, item: double
                child 8, max_duration: int64
                child 9, max_image_size: struct<longest_edge: int64>
                    child 0, longest_edge: int64
                child 10, merge_size: int64
                child 11, num_frames: int64
                child 12, patch_size: int64
                child 13, resample: int64
                child 14, rescale_factor: double
                child 15, return_metadata: bool
                child 16, size: struct<longest_edge: int64, shortest_edge: int64>
                    child 0, longest_edge: int64
                    child 1, shortest_edge: int64
                child 17, temporal_patch_size: int64
                child 18, video_processor_type: string
              eval_sequences: int64
              method: string
              eval_seq_len: int64
              delta_ppl_percent: double
              gptq_block: int64
              after: struct<ce: double, ppl: double, tokens: int64>
                child 0, ce: double
                child 1, ppl: double
                child 2, tokens: int64
              model: string
              before: struct<ce: double, ppl: double, tokens: int64>
                child 0, ce: double
                child 1, ppl: double
                child 2, tokens: int64
              calib_seq_len: int64
              calib_sequences: int64
              to
              {'model': Value('string'), 'method': Value('string'), 'calib_sequences': Value('int64'), 'calib_seq_len': Value('int64'), 'eval_sequences': Value('int64'), 'eval_seq_len': Value('int64'), 'gptq_block': Value('int64'), 'before': {'ce': Value('float64'), 'ppl': Value('float64'), 'tokens': Value('int64')}, 'after': {'ce': Value('float64'), 'ppl': Value('float64'), 'tokens': Value('int64')}, 'delta_ppl_percent': Value('float64')}
              because column names don't match