Datasets:

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Qwen3.8-27B-MLX-metrics

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Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
reference: string
quant: string
context: int64
score_from: int64
chunks: int64
tokens_scored: int64
screening: bool
tail_cutoff: bool
reference_ppl: double
quant_ppl: double
mean_kld: double
mean_kld_whole_vocab: double
median_kld: double
p90_kld: double
p95_kld: double
p99_kld: double
max_kld: double
top1_agree_pct: double
mean_delta_p_points: double
rms_delta_p_points: double
to
{'reference': Value('string'), 'quant': Value('string'), 'context': Value('int64'), 'score_from': Value('int64'), 'chunks': Value('int64'), 'tokens_scored': Value('int64'), 'tail_cutoff': Value('bool'), 'reference_ppl': Value('float64'), 'quant_ppl': Value('float64'), 'mean_kld': Value('float64'), 'mean_kld_whole_vocab': Value('float64'), 'median_kld': Value('float64'), 'p90_kld': Value('float64'), 'p95_kld': Value('float64'), 'p99_kld': Value('float64'), 'max_kld': Value('float64'), 'top1_agree_pct': Value('float64'), 'mean_delta_p_points': Value('float64'), 'rms_delta_p_points': 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
              reference: string
              quant: string
              context: int64
              score_from: int64
              chunks: int64
              tokens_scored: int64
              screening: bool
              tail_cutoff: bool
              reference_ppl: double
              quant_ppl: double
              mean_kld: double
              mean_kld_whole_vocab: double
              median_kld: double
              p90_kld: double
              p95_kld: double
              p99_kld: double
              max_kld: double
              top1_agree_pct: double
              mean_delta_p_points: double
              rms_delta_p_points: double
              to
              {'reference': Value('string'), 'quant': Value('string'), 'context': Value('int64'), 'score_from': Value('int64'), 'chunks': Value('int64'), 'tokens_scored': Value('int64'), 'tail_cutoff': Value('bool'), 'reference_ppl': Value('float64'), 'quant_ppl': Value('float64'), 'mean_kld': Value('float64'), 'mean_kld_whole_vocab': Value('float64'), 'median_kld': Value('float64'), 'p90_kld': Value('float64'), 'p95_kld': Value('float64'), 'p99_kld': Value('float64'), 'max_kld': Value('float64'), 'top1_agree_pct': Value('float64'), 'mean_delta_p_points': Value('float64'), 'rms_delta_p_points': Value('float64')}
              because column names don't match