Datasets:

---

another-phytophile

/

artifact-dir-plantsaes

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
artifact_name: string
artifact_id: string
layer: int64
strand: string
sae_type: string
n_features: int64
d_in: int64
base_model: string
organism: string
display_name: string
dtype: string
architecture: string
normalize_activations: string
metadata: struct<sae_lens_version: string, sae_lens_training_version: string, dataset_path: string, hook_name: (... 311 chars omitted)
  child 0, sae_lens_version: string
  child 1, sae_lens_training_version: string
  child 2, dataset_path: string
  child 3, hook_name: string
  child 4, model_name: string
  child 5, model_class_name: string
  child 6, hook_head_index: null
  child 7, context_size: int64
  child 8, seqpos_slice: list<item: null>
      child 0, item: null
  child 9, model_from_pretrained_kwargs: struct<center_writing_weights: bool>
      child 0, center_writing_weights: bool
  child 10, prepend_bos: bool
  child 11, exclude_special_tokens: bool
  child 12, sequence_separator_token: null
  child 13, disable_concat_sequences: bool
d_sae: int64
apply_b_dec_to_input: bool
reshape_activations: string
device: string
to
{'d_in': Value('int64'), 'metadata': {'sae_lens_version': Value('string'), 'sae_lens_training_version': Value('string'), 'dataset_path': Value('string'), 'hook_name': Value('string'), 'model_name': Value('string'), 'model_class_name': Value('string'), 'hook_head_index': Value('null'), 'context_size': Value('int64'), 'seqpos_slice': List(Value('null')), 'model_from_pretrained_kwargs': {'center_writing_weights': Value('bool')}, 'prepend_bos': Value('bool'), 'exclude_special_tokens': Value('bool'), 'sequence_separator_token': Value('null'), 'disable_concat_sequences': Value('bool')}, 'apply_b_dec_to_input': Value('bool'), 'dtype': Value('string'), 'device': Value('string'), 'normalize_activations': Value('string'), 'reshape_activations': Value('string'), 'd_sae': Value('int64'), 'architecture': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              artifact_name: string
              artifact_id: string
              layer: int64
              strand: string
              sae_type: string
              n_features: int64
              d_in: int64
              base_model: string
              organism: string
              display_name: string
              dtype: string
              architecture: string
              normalize_activations: string
              metadata: struct<sae_lens_version: string, sae_lens_training_version: string, dataset_path: string, hook_name: (... 311 chars omitted)
                child 0, sae_lens_version: string
                child 1, sae_lens_training_version: string
                child 2, dataset_path: string
                child 3, hook_name: string
                child 4, model_name: string
                child 5, model_class_name: string
                child 6, hook_head_index: null
                child 7, context_size: int64
                child 8, seqpos_slice: list<item: null>
                    child 0, item: null
                child 9, model_from_pretrained_kwargs: struct<center_writing_weights: bool>
                    child 0, center_writing_weights: bool
                child 10, prepend_bos: bool
                child 11, exclude_special_tokens: bool
                child 12, sequence_separator_token: null
                child 13, disable_concat_sequences: bool
              d_sae: int64
              apply_b_dec_to_input: bool
              reshape_activations: string
              device: string
              to
              {'d_in': Value('int64'), 'metadata': {'sae_lens_version': Value('string'), 'sae_lens_training_version': Value('string'), 'dataset_path': Value('string'), 'hook_name': Value('string'), 'model_name': Value('string'), 'model_class_name': Value('string'), 'hook_head_index': Value('null'), 'context_size': Value('int64'), 'seqpos_slice': List(Value('null')), 'model_from_pretrained_kwargs': {'center_writing_weights': Value('bool')}, 'prepend_bos': Value('bool'), 'exclude_special_tokens': Value('bool'), 'sequence_separator_token': Value('null'), 'disable_concat_sequences': Value('bool')}, 'apply_b_dec_to_input': Value('bool'), 'dtype': Value('string'), 'device': Value('string'), 'normalize_activations': Value('string'), 'reshape_activations': Value('string'), 'd_sae': Value('int64'), 'architecture': Value('string')}
              because column names don't match