Datasets:

---

duyle2408

/

results_dermo_effnetv2_b2

like 0

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 12 new columns ({'DF', 'BCC', 'NV', 'MAL_OTH', 'MEL', 'AKIEC', 'INF', 'VASC', 'true_label', 'BEN_OTH', 'SCCKA', 'BKL'}) and 21 missing columns ({'MONET_skin_markings_pen_ink_purple_pen', 'MONET_erythema', 'age_approx', 'MONET_vasculature_vessels', 'image_type', 'copyright_license', 'ignore_metadata', 'sex', 'MONET_hair', 'image_path', 'MONET_pigmented', 'site', 'MONET_ulceration_crust', 'image_type_norm', 'image_manipulation', 'is_augmented', 'isic_id', 'skin_tone_class', 'MONET_gel_water_drop_fluid_dermoscopy_liquid', 'attribution', 'label'}).

This happened while the csv dataset builder was generating data using

hf://datasets/duyle2408/results_dermo_effnetv2_b2/no_metadata/val_predictions.csv (at revision 88d453f705b8fde294d7d6fc0e00192327bf06a7), ['hf://datasets/duyle2408/results_dermo_effnetv2_b2@88d453f705b8fde294d7d6fc0e00192327bf06a7/no_metadata/splits/val.csv', 'hf://datasets/duyle2408/results_dermo_effnetv2_b2@88d453f705b8fde294d7d6fc0e00192327bf06a7/no_metadata/val_predictions.csv', 'hf://datasets/duyle2408/results_dermo_effnetv2_b2@88d453f705b8fde294d7d6fc0e00192327bf06a7/no_metadata/val_split.csv', 'hf://datasets/duyle2408/results_dermo_effnetv2_b2@88d453f705b8fde294d7d6fc0e00192327bf06a7/with_metadata/splits/val.csv', 'hf://datasets/duyle2408/results_dermo_effnetv2_b2@88d453f705b8fde294d7d6fc0e00192327bf06a7/with_metadata/val_predictions.csv', 'hf://datasets/duyle2408/results_dermo_effnetv2_b2@88d453f705b8fde294d7d6fc0e00192327bf06a7/with_metadata/val_split.csv']

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)
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 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                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
              lesion_id: string
              true_label: string
              AKIEC: double
              BCC: double
              BEN_OTH: double
              BKL: double
              DF: double
              INF: double
              MAL_OTH: double
              MEL: double
              NV: double
              SCCKA: double
              VASC: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1717
              to
              {'lesion_id': Value('string'), 'label': Value('string'), 'image_type': Value('string'), 'isic_id': Value('string'), 'attribution': Value('string'), 'copyright_license': Value('string'), 'image_manipulation': Value('string'), 'age_approx': Value('float64'), 'sex': Value('string'), 'skin_tone_class': Value('float64'), 'site': Value('string'), 'MONET_ulceration_crust': Value('float64'), 'MONET_hair': Value('float64'), 'MONET_vasculature_vessels': Value('float64'), 'MONET_erythema': Value('float64'), 'MONET_pigmented': Value('float64'), 'MONET_gel_water_drop_fluid_dermoscopy_liquid': Value('float64'), 'MONET_skin_markings_pen_ink_purple_pen': Value('float64'), 'image_type_norm': Value('string'), 'image_path': Value('string'), 'is_augmented': Value('bool'), 'ignore_metadata': Value('bool')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              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 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 12 new columns ({'DF', 'BCC', 'NV', 'MAL_OTH', 'MEL', 'AKIEC', 'INF', 'VASC', 'true_label', 'BEN_OTH', 'SCCKA', 'BKL'}) and 21 missing columns ({'MONET_skin_markings_pen_ink_purple_pen', 'MONET_erythema', 'age_approx', 'MONET_vasculature_vessels', 'image_type', 'copyright_license', 'ignore_metadata', 'sex', 'MONET_hair', 'image_path', 'MONET_pigmented', 'site', 'MONET_ulceration_crust', 'image_type_norm', 'image_manipulation', 'is_augmented', 'isic_id', 'skin_tone_class', 'MONET_gel_water_drop_fluid_dermoscopy_liquid', 'attribution', 'label'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/duyle2408/results_dermo_effnetv2_b2/no_metadata/val_predictions.csv (at revision 88d453f705b8fde294d7d6fc0e00192327bf06a7), ['hf://datasets/duyle2408/results_dermo_effnetv2_b2@88d453f705b8fde294d7d6fc0e00192327bf06a7/no_metadata/splits/val.csv', 'hf://datasets/duyle2408/results_dermo_effnetv2_b2@88d453f705b8fde294d7d6fc0e00192327bf06a7/no_metadata/val_predictions.csv', 'hf://datasets/duyle2408/results_dermo_effnetv2_b2@88d453f705b8fde294d7d6fc0e00192327bf06a7/no_metadata/val_split.csv', 'hf://datasets/duyle2408/results_dermo_effnetv2_b2@88d453f705b8fde294d7d6fc0e00192327bf06a7/with_metadata/splits/val.csv', 'hf://datasets/duyle2408/results_dermo_effnetv2_b2@88d453f705b8fde294d7d6fc0e00192327bf06a7/with_metadata/val_predictions.csv', 'hf://datasets/duyle2408/results_dermo_effnetv2_b2@88d453f705b8fde294d7d6fc0e00192327bf06a7/with_metadata/val_split.csv']
              
              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)