Datasets:

---

Honkware

/

Qwen3.5-0.8B-exl3-selfcal

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
model: string
rows: int64
length: int64
draws: int64
mode: string
trace: string
h_rows: int64
rfn_ref: string
rfn_scale: string
rfn: null
results: list<item: struct<idx: int64, key: string, qbits_key: string, numel: int64, shaped: bool, levels: li (... 110 chars omitted)
  child 0, item: struct<idx: int64, key: string, qbits_key: string, numel: int64, shaped: bool, levels: list<item: st (... 98 chars omitted)
      child 0, idx: int64
      child 1, key: string
      child 2, qbits_key: string
      child 3, numel: int64
      child 4, shaped: bool
      child 5, levels: list<item: struct<rfn: double, rfn_actual: double, draw: int64, kld: double, inj_rfn: double>>
          child 0, item: struct<rfn: double, rfn_actual: double, draw: int64, kld: double, inj_rfn: double>
              child 0, rfn: double
              child 1, rfn_actual: double
              child 2, draw: int64
              child 3, kld: double
              child 4, inj_rfn: double
      child 6, w_norm: double
model_id: string
cal_cols: int64
model_rev: string
donor_repo: string
cal_rows: int64
noise: string
exllamav3: string
schema: int64
to
{'model_id': Value('string'), 'model_rev': Value('string'), 'donor_repo': Value('string'), 'cal_rows': Value('int64'), 'cal_cols': Value('int64'), 'exllamav3': Value('string'), 'noise': Value('string'), 'schema': 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
              model: string
              rows: int64
              length: int64
              draws: int64
              mode: string
              trace: string
              h_rows: int64
              rfn_ref: string
              rfn_scale: string
              rfn: null
              results: list<item: struct<idx: int64, key: string, qbits_key: string, numel: int64, shaped: bool, levels: li (... 110 chars omitted)
                child 0, item: struct<idx: int64, key: string, qbits_key: string, numel: int64, shaped: bool, levels: list<item: st (... 98 chars omitted)
                    child 0, idx: int64
                    child 1, key: string
                    child 2, qbits_key: string
                    child 3, numel: int64
                    child 4, shaped: bool
                    child 5, levels: list<item: struct<rfn: double, rfn_actual: double, draw: int64, kld: double, inj_rfn: double>>
                        child 0, item: struct<rfn: double, rfn_actual: double, draw: int64, kld: double, inj_rfn: double>
                            child 0, rfn: double
                            child 1, rfn_actual: double
                            child 2, draw: int64
                            child 3, kld: double
                            child 4, inj_rfn: double
                    child 6, w_norm: double
              model_id: string
              cal_cols: int64
              model_rev: string
              donor_repo: string
              cal_rows: int64
              noise: string
              exllamav3: string
              schema: int64
              to
              {'model_id': Value('string'), 'model_rev': Value('string'), 'donor_repo': Value('string'), 'cal_rows': Value('int64'), 'cal_cols': Value('int64'), 'exllamav3': Value('string'), 'noise': Value('string'), 'schema': Value('int64')}
              because column names don't match