Datasets:

---

anhtu77

/

hf_analogies_BATS_pruned_summary

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
pipeline: string
hf_repo_id: string
graph_prefix: string
shap_path_in_repo: string
dataset_name: string
normalizations: list<item: string>
  child 0, item: string
limit: null
alpha: double
node_threshold: double
edge_threshold: double
combine_method: string
score_normalization: string
logit_weights: string
entmax_alpha: double
keep_all_tokens_and_logits: bool
raise_on_error: bool
filter_act_density: bool
act_density_lb: double
act_density_ub: double
masker_keep_prefix: null
ilp: struct<theta: string, eps_causal: double, max_sn: int64, max_layer_span: int64, time_limit: double>
  child 0, theta: string
  child 1, eps_causal: double
  child 2, max_sn: int64
  child 3, max_layer_span: int64
  child 4, time_limit: double
device: string
to
{'normalization': Value('string'), 'graph_repo_path': Value('string'), 'graph_file': Value('string'), 'graph_stem': Value('string'), 'graph_local_path': Value('string'), 'shap_row_index': Value('int64'), 'masker_keep_prefix': Value('null'), 'shap_prefix_tokens': Value('int64'), 'token_weights': List(Value('float64')), 'status': Value('string'), 'resolved_k': Value('int64'), 'auto_k_candidates': Value('int64'), 'num_nodes': Value('int64'), 'num_edges': Value('int64'), 'prune_graph_path': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 764, in write_table
                  self.write_rows_on_file()  # in case there are buffered rows to write first
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._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
              pipeline: string
              hf_repo_id: string
              graph_prefix: string
              shap_path_in_repo: string
              dataset_name: string
              normalizations: list<item: string>
                child 0, item: string
              limit: null
              alpha: double
              node_threshold: double
              edge_threshold: double
              combine_method: string
              score_normalization: string
              logit_weights: string
              entmax_alpha: double
              keep_all_tokens_and_logits: bool
              raise_on_error: bool
              filter_act_density: bool
              act_density_lb: double
              act_density_ub: double
              masker_keep_prefix: null
              ilp: struct<theta: string, eps_causal: double, max_sn: int64, max_layer_span: int64, time_limit: double>
                child 0, theta: string
                child 1, eps_causal: double
                child 2, max_sn: int64
                child 3, max_layer_span: int64
                child 4, time_limit: double
              device: string
              to
              {'normalization': Value('string'), 'graph_repo_path': Value('string'), 'graph_file': Value('string'), 'graph_stem': Value('string'), 'graph_local_path': Value('string'), 'shap_row_index': Value('int64'), 'masker_keep_prefix': Value('null'), 'shap_prefix_tokens': Value('int64'), 'token_weights': List(Value('float64')), 'status': Value('string'), 'resolved_k': Value('int64'), 'auto_k_candidates': Value('int64'), 'num_nodes': Value('int64'), 'num_edges': Value('int64'), 'prune_graph_path': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1839, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 21 new columns ({'combine_method', 'act_density_lb', 'act_density_ub', 'ilp', 'alpha', 'filter_act_density', 'hf_repo_id', 'raise_on_error', 'shap_path_in_repo', 'entmax_alpha', 'normalizations', 'limit', 'graph_prefix', 'score_normalization', 'node_threshold', 'keep_all_tokens_and_logits', 'pipeline', 'logit_weights', 'edge_threshold', 'device', 'dataset_name'}) and 14 missing columns ({'shap_row_index', 'shap_prefix_tokens', 'auto_k_candidates', 'resolved_k', 'num_nodes', 'graph_stem', 'graph_file', 'token_weights', 'normalization', 'graph_repo_path', 'status', 'num_edges', 'graph_local_path', 'prune_graph_path'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/anhtu77/hf_analogies_BATS_pruned_summary/summary_graphs/hf_analogies_BATS_circuit/summary_manifest.json (at revision bc41ef3c14617eab3ebd9a6263fee5caceb75370), ['hf://datasets/anhtu77/hf_analogies_BATS_pruned_summary@bc41ef3c14617eab3ebd9a6263fee5caceb75370/pruned_graphs/hf_analogies_BATS_circuit/pruned_manifest.json', 'hf://datasets/anhtu77/hf_analogies_BATS_pruned_summary@bc41ef3c14617eab3ebd9a6263fee5caceb75370/pruned_graphs/hf_analogies_BATS_circuit/settings.json', 'hf://datasets/anhtu77/hf_analogies_BATS_pruned_summary@bc41ef3c14617eab3ebd9a6263fee5caceb75370/summary_graphs/hf_analogies_BATS_circuit/settings.json', 'hf://datasets/anhtu77/hf_analogies_BATS_pruned_summary@bc41ef3c14617eab3ebd9a6263fee5caceb75370/summary_graphs/hf_analogies_BATS_circuit/summary_manifest.json'], ['hf://datasets/anhtu77/hf_analogies_BATS_pruned_summary@bc41ef3c14617eab3ebd9a6263fee5caceb75370/pruned_graphs/hf_analogies_BATS_circuit/pruned_manifest.json', 'hf://datasets/anhtu77/hf_analogies_BATS_pruned_summary@bc41ef3c14617eab3ebd9a6263fee5caceb75370/pruned_graphs/hf_analogies_BATS_circuit/settings.json', 'hf://datasets/anhtu77/hf_analogies_BATS_pruned_summary@bc41ef3c14617eab3ebd9a6263fee5caceb75370/summary_graphs/hf_analogies_BATS_circuit/settings.json', 'hf://datasets/anhtu77/hf_analogies_BATS_pruned_summary@bc41ef3c14617eab3ebd9a6263fee5caceb75370/summary_graphs/hf_analogies_BATS_circuit/summary_manifest.json']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._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
              pipeline: string
              hf_repo_id: string
              graph_prefix: string
              shap_path_in_repo: string
              dataset_name: string
              normalizations: list<item: string>
                child 0, item: string
              limit: null
              alpha: double
              node_threshold: double
              edge_threshold: double
              combine_method: string
              score_normalization: string
              logit_weights: string
              entmax_alpha: double
              keep_all_tokens_and_logits: bool
              raise_on_error: bool
              filter_act_density: bool
              act_density_lb: double
              act_density_ub: double
              masker_keep_prefix: null
              ilp: struct<theta: string, eps_causal: double, max_sn: int64, max_layer_span: int64, time_limit: double>
                child 0, theta: string
                child 1, eps_causal: double
                child 2, max_sn: int64
                child 3, max_layer_span: int64
                child 4, time_limit: double
              device: string
              to
              {'normalization': Value('string'), 'graph_repo_path': Value('string'), 'graph_file': Value('string'), 'graph_stem': Value('string'), 'graph_local_path': Value('string'), 'shap_row_index': Value('int64'), 'masker_keep_prefix': Value('null'), 'shap_prefix_tokens': Value('int64'), 'token_weights': List(Value('float64')), 'status': Value('string'), 'resolved_k': Value('int64'), 'auto_k_candidates': Value('int64'), 'num_nodes': Value('int64'), 'num_edges': Value('int64'), 'prune_graph_path': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset