Datasets:

---

peked

/

Probing_KNN_feature

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
dtype: string
feature_dim: int64
feature_file: string
model: string
rank: int64
representation: string
row_order: string
rows: int64
source_cache_fingerprint: string
source_cache_metadata: string
source_kind: string
tokenizer: string
format_version: string
tokenizer_count: int64
shots_per_class: int64
entries: list<item: struct<dtype: string, feature_dim: int64, feature_file: string, model: string, rank: int6 (... 164 chars omitted)
  child 0, item: struct<dtype: string, feature_dim: int64, feature_file: string, model: string, rank: int64, represen (... 152 chars omitted)
      child 0, dtype: string
      child 1, feature_dim: int64
      child 2, feature_file: string
      child 3, model: string
      child 4, rank: int64
      child 5, representation: string
      child 6, row_order: string
      child 7, rows: int64
      child 8, source_cache_fingerprint: string
      child 9, source_cache_metadata: string
      child 10, source_kind: string
      child 11, tokenizer: string
class_count: int64
source_indices_file: string
seed_cache_metadata: string
labels_file: string
rows_per_tokenizer: int64
support_seed: int64
support_indices_sha256: string
feature_dtype: string
to
{'class_count': Value('int64'), 'entries': List({'dtype': Value('string'), 'feature_dim': Value('int64'), 'feature_file': Value('string'), 'model': Value('string'), 'rank': Value('int64'), 'representation': Value('string'), 'row_order': Value('string'), 'rows': Value('int64'), 'source_cache_fingerprint': Value('string'), 'source_cache_metadata': Value('string'), 'source_kind': Value('string'), 'tokenizer': Value('string')}), 'feature_dtype': Value('string'), 'format_version': Value('string'), 'labels_file': Value('string'), 'row_order': Value('string'), 'rows_per_tokenizer': Value('int64'), 'seed_cache_metadata': Value('string'), 'shots_per_class': Value('int64'), 'source_indices_file': Value('string'), 'support_indices_sha256': Value('string'), 'support_seed': Value('int64'), 'tokenizer_count': 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
              dtype: string
              feature_dim: int64
              feature_file: string
              model: string
              rank: int64
              representation: string
              row_order: string
              rows: int64
              source_cache_fingerprint: string
              source_cache_metadata: string
              source_kind: string
              tokenizer: string
              format_version: string
              tokenizer_count: int64
              shots_per_class: int64
              entries: list<item: struct<dtype: string, feature_dim: int64, feature_file: string, model: string, rank: int6 (... 164 chars omitted)
                child 0, item: struct<dtype: string, feature_dim: int64, feature_file: string, model: string, rank: int64, represen (... 152 chars omitted)
                    child 0, dtype: string
                    child 1, feature_dim: int64
                    child 2, feature_file: string
                    child 3, model: string
                    child 4, rank: int64
                    child 5, representation: string
                    child 6, row_order: string
                    child 7, rows: int64
                    child 8, source_cache_fingerprint: string
                    child 9, source_cache_metadata: string
                    child 10, source_kind: string
                    child 11, tokenizer: string
              class_count: int64
              source_indices_file: string
              seed_cache_metadata: string
              labels_file: string
              rows_per_tokenizer: int64
              support_seed: int64
              support_indices_sha256: string
              feature_dtype: string
              to
              {'class_count': Value('int64'), 'entries': List({'dtype': Value('string'), 'feature_dim': Value('int64'), 'feature_file': Value('string'), 'model': Value('string'), 'rank': Value('int64'), 'representation': Value('string'), 'row_order': Value('string'), 'rows': Value('int64'), 'source_cache_fingerprint': Value('string'), 'source_cache_metadata': Value('string'), 'source_kind': Value('string'), 'tokenizer': Value('string')}), 'feature_dtype': Value('string'), 'format_version': Value('string'), 'labels_file': Value('string'), 'row_order': Value('string'), 'rows_per_tokenizer': Value('int64'), 'seed_cache_metadata': Value('string'), 'shots_per_class': Value('int64'), 'source_indices_file': Value('string'), 'support_indices_sha256': Value('string'), 'support_seed': Value('int64'), 'tokenizer_count': Value('int64')}
              because column names don't match