Datasets:

---

maariaaa12

/

rv_segment

Like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
profile: string
seed: int64
params: int64
channels: string
shape_hidden: int64
router_hidden: int64
rect_hidden: int64
cond_hidden: int64
best_epoch: int64
best_selection_score: double
best_val_ALL_at_050: double
best_val_ES_at_050: double
best_val_small_at_050: double
val_tuned_threshold: double
val_tuned_volume_ALL: double
val_tuned_volume_ED: double
val_tuned_volume_ES: double
val_tuned_smallQ1: double
val_tuned_HD95: double
val_tuned_ASSD: double
val_tuned_NSD2: double
val_tuned_n_empty: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3091
to
{'seed': Value('int64'), 'config': Value('string'), 'threshold': Value('float64'), 'val_volume_ALL': Value('float64'), 'val_volume_ES': Value('float64'), 'val_smallQ1_train_threshold': Value('float64'), 'selection_score': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 783, 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 795, in _write_table
                  pa_table = table_cast(pa_table, self._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
              profile: string
              seed: int64
              params: int64
              channels: string
              shape_hidden: int64
              router_hidden: int64
              rect_hidden: int64
              cond_hidden: int64
              best_epoch: int64
              best_selection_score: double
              best_val_ALL_at_050: double
              best_val_ES_at_050: double
              best_val_small_at_050: double
              val_tuned_threshold: double
              val_tuned_volume_ALL: double
              val_tuned_volume_ED: double
              val_tuned_volume_ES: double
              val_tuned_smallQ1: double
              val_tuned_HD95: double
              val_tuned_ASSD: double
              val_tuned_NSD2: double
              val_tuned_n_empty: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3091
              to
              {'seed': Value('int64'), 'config': Value('string'), 'threshold': Value('float64'), 'val_volume_ALL': Value('float64'), 'val_volume_ES': Value('float64'), 'val_smallQ1_train_threshold': Value('float64'), 'selection_score': Value('float64')}
              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 1850, 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 ({'val_tuned_n_empty', 'best_selection_score', 'best_val_ALL_at_050', 'cond_hidden', 'val_tuned_threshold', 'val_tuned_volume_ED', 'val_tuned_volume_ES', 'val_tuned_NSD2', 'val_tuned_ASSD', 'best_epoch', 'router_hidden', 'channels', 'profile', 'val_tuned_volume_ALL', 'val_tuned_HD95', 'shape_hidden', 'best_val_ES_at_050', 'rect_hidden', 'params', 'best_val_small_at_050', 'val_tuned_smallQ1'}) and 6 missing columns ({'threshold', 'selection_score', 'config', 'val_smallQ1_train_threshold', 'val_volume_ES', 'val_volume_ALL'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/maariaaa12/rv_segment/v11_region_recovery_300k/results/v10_ms_control/seed_2024/validation_threshold_sweep.csv (at revision 16b043f881a0cc3e87b82ae5310fc630b376bdbb), ['hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/rv_batch_a_v1/rv_batch_a_results/attention_unet/seed_2024/validation_threshold_sweep.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/rv_batch_a_v1/rv_batch_a_results/cenet/seed_2024/validation_threshold_sweep.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/rv_batch_a_v1/rv_batch_a_results/swin_unet/seed_2024/validation_threshold_sweep.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/rv_batch_a_v1/rv_batch_a_results/unetpp/seed_2024/validation_threshold_sweep.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/rv_batch_a_v1/rv_batch_a_results/unext/seed_2024/validation_threshold_sweep.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/v11_region_recovery_300k/results/v10_ms_control/seed_2024/validation_headline.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/v11_region_recovery_300k/results/v10_ms_control/seed_2024/validation_threshold_sweep.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/v11_region_recovery_300k/results/v11_region_recovery/seed_2024/validation_headline.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/v11_region_recovery_300k/results/v11_region_recovery/seed_2024/validation_threshold_sweep.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/v9_capacity_300k/results/v9_91k/seed_2024/validation_headline.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/v9_capacity_300k/results/v9_91k/seed_2024/validation_threshold_sweep.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/rv_batch_a_v1/rv_batch_a_results/attention_unet/seed_2024/slice_metrics__val_tuned.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/rv_batch_a_v1/rv_batch_a_results/attention_unet/seed_2024/volume_metrics__val_tuned.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/rv_batch_a_v1/rv_batch_a_results/cenet/seed_2024/slice_metrics__val_tuned.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/rv_batch_a_v1/rv_batch_a_results/cenet/seed_2024/volume_metrics__val_tuned.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/rv_batch_a_v1/rv_batch_a_results/swin_unet/seed_2024/slice_metrics__val_tuned.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/rv_batch_a_v1/rv_batch_a_results/swin_unet/seed_2024/volume_metrics__val_tuned.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/rv_batch_a_v1/rv_batch_a_results/unetpp/seed_2024/slice_metrics__val_tuned.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/rv_batch_a_v1/rv_batch_a_results/unetpp/seed_2024/volume_metrics__val_tuned.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/rv_batch_a_v1/rv_batch_a_results/unext/seed_2024/slice_metrics__val_tuned.csv', 'hf://datasets/maariaaa12/rv_segment@16b043f881a0cc3e87b82ae5310fc630b376bdbb/rv_batch_a_v1/rv_batch_a_results/unext/seed_2024/volume_metrics__val_tuned.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)
              
              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 1868, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 803, 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 795, in _write_table
                  pa_table = table_cast(pa_table, self._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
              profile: string
              seed: int64
              params: int64
              channels: string
              shape_hidden: int64
              router_hidden: int64
              rect_hidden: int64
              cond_hidden: int64
              best_epoch: int64
              best_selection_score: double
              best_val_ALL_at_050: double
              best_val_ES_at_050: double
              best_val_small_at_050: double
              val_tuned_threshold: double
              val_tuned_volume_ALL: double
              val_tuned_volume_ED: double
              val_tuned_volume_ES: double
              val_tuned_smallQ1: double
              val_tuned_HD95: double
              val_tuned_ASSD: double
              val_tuned_NSD2: double
              val_tuned_n_empty: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3091
              to
              {'seed': Value('int64'), 'config': Value('string'), 'threshold': Value('float64'), 'val_volume_ALL': Value('float64'), 'val_volume_ES': Value('float64'), 'val_smallQ1_train_threshold': Value('float64'), 'selection_score': Value('float64')}
              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 1694, 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 1879, 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