Datasets:

---

SandySloth

/

calibrated-brm-token-logit-history

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
probe_index: int64
probe_id: string
context: string
source_record: struct<id: string, prompt: string>
  child 0, id: string
  child 1, prompt: string
tokens: list<item: struct<label: string, token_id: int64, decoded_token: string, target_text: string>>
  child 0, item: struct<label: string, token_id: int64, decoded_token: string, target_text: string>
      child 0, label: string
      child 1, token_id: int64
      child 2, decoded_token: string
      child 3, target_text: string
tokenizer_revision: null
model_repo: string
plot_metric: string
row_count: int64
tokenizer: null
revision_count: int64
score_temperature: double
probe_count: int64
base_model: string
revisions: list<item: struct<revision: string, commit_id: string, step: int64, title: string, created_at: times (... 25 chars omitted)
  child 0, item: struct<revision: string, commit_id: string, step: int64, title: string, created_at: timestamp[s], or (... 13 chars omitted)
      child 0, revision: string
      child 1, commit_id: string
      child 2, step: int64
      child 3, title: string
      child 4, created_at: timestamp[s]
      child 5, ordinal: int64
repo_type: string
to
{'model_repo': Value('string'), 'repo_type': Value('string'), 'base_model': Value('string'), 'tokenizer': Value('null'), 'tokenizer_revision': Value('null'), 'score_temperature': Value('float64'), 'plot_metric': Value('string'), 'revision_count': Value('int64'), 'probe_count': Value('int64'), 'row_count': Value('int64'), 'revisions': List({'revision': Value('string'), 'commit_id': Value('string'), 'step': Value('int64'), 'title': Value('string'), 'created_at': Value('timestamp[s]'), 'ordinal': 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 478, 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
              probe_index: int64
              probe_id: string
              context: string
              source_record: struct<id: string, prompt: string>
                child 0, id: string
                child 1, prompt: string
              tokens: list<item: struct<label: string, token_id: int64, decoded_token: string, target_text: string>>
                child 0, item: struct<label: string, token_id: int64, decoded_token: string, target_text: string>
                    child 0, label: string
                    child 1, token_id: int64
                    child 2, decoded_token: string
                    child 3, target_text: string
              tokenizer_revision: null
              model_repo: string
              plot_metric: string
              row_count: int64
              tokenizer: null
              revision_count: int64
              score_temperature: double
              probe_count: int64
              base_model: string
              revisions: list<item: struct<revision: string, commit_id: string, step: int64, title: string, created_at: times (... 25 chars omitted)
                child 0, item: struct<revision: string, commit_id: string, step: int64, title: string, created_at: timestamp[s], or (... 13 chars omitted)
                    child 0, revision: string
                    child 1, commit_id: string
                    child 2, step: int64
                    child 3, title: string
                    child 4, created_at: timestamp[s]
                    child 5, ordinal: int64
              repo_type: string
              to
              {'model_repo': Value('string'), 'repo_type': Value('string'), 'base_model': Value('string'), 'tokenizer': Value('null'), 'tokenizer_revision': Value('null'), 'score_temperature': Value('float64'), 'plot_metric': Value('string'), 'revision_count': Value('int64'), 'probe_count': Value('int64'), 'row_count': Value('int64'), 'revisions': List({'revision': Value('string'), 'commit_id': Value('string'), 'step': Value('int64'), 'title': Value('string'), 'created_at': Value('timestamp[s]'), 'ordinal': Value('int64')})}
              because column names don't match