Datasets:

---

mahvin92

/

guidescope-checkpoints

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
species_key: string
display_name: string
checkpoint_version: string
shard_key: string
chrom: string
chunk_start0: int64
chunk_end0: int64
profile: struct<n_fragments: int64, vector_dim: int64, embedding_mode: string, low_ram_mode: bool, chunk_bp:  (... 204 chars omitted)
  child 0, n_fragments: int64
  child 1, vector_dim: int64
  child 2, embedding_mode: string
  child 3, low_ram_mode: bool
  child 4, chunk_bp: int64
  child 5, ae_embedding_dim: int64
  child 6, ae_epochs_requested: int64
  child 7, ae_epochs_trained: int64
  child 8, ae_final_loss: double
  child 9, ae_final_val_loss: double
  child 10, pca_components: int64
  child 11, explained_variance_ratio: list<item: double>
      child 0, item: double
finished_at: timestamp[s]
fragment_fasta_path: string
checkpoint_path: string
species_name: string
assembly_accession: string
feature_table_path: string
to
{'species_key': Value('string'), 'species_name': Value('string'), 'assembly_accession': Value('string'), 'checkpoint_version': Value('string'), 'shard_key': Value('string'), 'chrom': Value('string'), 'chunk_start0': Value('int64'), 'chunk_end0': Value('int64'), 'checkpoint_path': Value('string'), 'feature_table_path': Value('string'), 'fragment_fasta_path': Value('string'), 'profile': {'n_fragments': Value('int64'), 'vector_dim': Value('int64'), 'embedding_mode': Value('string'), 'ae_embedding_dim': Value('int64'), 'ae_epochs_requested': Value('int64'), 'ae_epochs_trained': Value('int64'), 'ae_final_loss': Value('float64'), 'ae_final_val_loss': Value('float64'), 'pca_components': Value('int64'), 'explained_variance_ratio': List(Value('float64'))}, 'finished_at': Value('timestamp[s]')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                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
              species_key: string
              display_name: string
              checkpoint_version: string
              shard_key: string
              chrom: string
              chunk_start0: int64
              chunk_end0: int64
              profile: struct<n_fragments: int64, vector_dim: int64, embedding_mode: string, low_ram_mode: bool, chunk_bp:  (... 204 chars omitted)
                child 0, n_fragments: int64
                child 1, vector_dim: int64
                child 2, embedding_mode: string
                child 3, low_ram_mode: bool
                child 4, chunk_bp: int64
                child 5, ae_embedding_dim: int64
                child 6, ae_epochs_requested: int64
                child 7, ae_epochs_trained: int64
                child 8, ae_final_loss: double
                child 9, ae_final_val_loss: double
                child 10, pca_components: int64
                child 11, explained_variance_ratio: list<item: double>
                    child 0, item: double
              finished_at: timestamp[s]
              fragment_fasta_path: string
              checkpoint_path: string
              species_name: string
              assembly_accession: string
              feature_table_path: string
              to
              {'species_key': Value('string'), 'species_name': Value('string'), 'assembly_accession': Value('string'), 'checkpoint_version': Value('string'), 'shard_key': Value('string'), 'chrom': Value('string'), 'chunk_start0': Value('int64'), 'chunk_end0': Value('int64'), 'checkpoint_path': Value('string'), 'feature_table_path': Value('string'), 'fragment_fasta_path': Value('string'), 'profile': {'n_fragments': Value('int64'), 'vector_dim': Value('int64'), 'embedding_mode': Value('string'), 'ae_embedding_dim': Value('int64'), 'ae_epochs_requested': Value('int64'), 'ae_epochs_trained': Value('int64'), 'ae_final_loss': Value('float64'), 'ae_final_val_loss': Value('float64'), 'pca_components': Value('int64'), 'explained_variance_ratio': List(Value('float64'))}, 'finished_at': Value('timestamp[s]')}
              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