Datasets:

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Reduanul1997

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E3_Pyramid_ASPP-style_Test_Evaluation

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Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
Model: string
Checkpoint: string
HF_Repository: string
Device: string
Test_Patients: int64
Total_Parameters: int64
Trainable_Parameters: int64
Total_Inference_Seconds: double
Average_Inference_Seconds_Per_Patient: double
Mean_WT_Dice_Across_Patients: double
Mean_TC_Dice_Across_Patients: double
Mean_ET_Dice_Across_Patients: double
Mean_WT_HD95_Across_Patients: double
Mean_TC_HD95_Across_Patients: double
Mean_ET_HD95_Across_Patients: double
Mean_WT_Precision_Across_Patients: double
Mean_TC_Precision_Across_Patients: double
Mean_ET_Precision_Across_Patients: double
Mean_WT_Recall_Across_Patients: double
Mean_TC_Recall_Across_Patients: double
Mean_ET_Recall_Across_Patients: double
Mean_WT_FNR_Across_Patients: double
Mean_TC_FNR_Across_Patients: double
Mean_ET_FNR_Across_Patients: double
Mean_WT_FPR_Across_Patients: double
Mean_TC_FPR_Across_Patients: double
Mean_ET_FPR_Across_Patients: double
Mean_Dice: double
Mean_HD95: double
Mean_Recall: double
Mean_FNR: double
WT_Global_TP: int64
WT_Global_TN: int64
WT_Global_FP: int64
WT_Global_FN: int64
WT_Global_Dice: double
WT_Global_Recall: double
WT_Global_FNR: double
WT_Global_FPR: double
TC_Global_TP: int64
TC_Global_TN: int64
TC_Global_FP: int64
TC_Global_FN: int64
TC_Global_Dice: double
TC_Global_Recall: double
TC_Global_FNR: double
TC_Global_FPR: double
ET_Global_TP: int64
ET_Global_TN: int64
ET_Global_FP: int64
ET_Global_FN: int64
ET_Global_Dice: double
ET_Global_Recall: double
ET_Global_FNR: double
ET_Global_FPR: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 7790
to
{'Patient': Value('string'), 'Inference_Seconds': Value('float64'), 'WT_Dice': Value('float64'), 'WT_Precision': Value('float64'), 'WT_Recall': Value('float64'), 'WT_FNR': Value('float64'), 'WT_FPR': Value('float64'), 'WT_TP': Value('int64'), 'WT_TN': Value('int64'), 'WT_FP': Value('int64'), 'WT_FN': Value('int64'), 'WT_HD95': Value('float64'), 'TC_Dice': Value('float64'), 'TC_Precision': Value('float64'), 'TC_Recall': Value('float64'), 'TC_FNR': Value('float64'), 'TC_FPR': Value('float64'), 'TC_TP': Value('int64'), 'TC_TN': Value('int64'), 'TC_FP': Value('int64'), 'TC_FN': Value('int64'), 'TC_HD95': Value('float64'), 'ET_Dice': Value('float64'), 'ET_Precision': Value('float64'), 'ET_Recall': Value('float64'), 'ET_FNR': Value('float64'), 'ET_FPR': Value('float64'), 'ET_TP': Value('int64'), 'ET_TN': Value('int64'), 'ET_FP': Value('int64'), 'ET_FN': Value('int64'), 'ET_HD95': Value('float64'), 'Mean_Dice': Value('float64'), 'Mean_HD95': Value('float64'), 'Mean_Recall': Value('float64'), 'Mean_FNR': 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 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
              Model: string
              Checkpoint: string
              HF_Repository: string
              Device: string
              Test_Patients: int64
              Total_Parameters: int64
              Trainable_Parameters: int64
              Total_Inference_Seconds: double
              Average_Inference_Seconds_Per_Patient: double
              Mean_WT_Dice_Across_Patients: double
              Mean_TC_Dice_Across_Patients: double
              Mean_ET_Dice_Across_Patients: double
              Mean_WT_HD95_Across_Patients: double
              Mean_TC_HD95_Across_Patients: double
              Mean_ET_HD95_Across_Patients: double
              Mean_WT_Precision_Across_Patients: double
              Mean_TC_Precision_Across_Patients: double
              Mean_ET_Precision_Across_Patients: double
              Mean_WT_Recall_Across_Patients: double
              Mean_TC_Recall_Across_Patients: double
              Mean_ET_Recall_Across_Patients: double
              Mean_WT_FNR_Across_Patients: double
              Mean_TC_FNR_Across_Patients: double
              Mean_ET_FNR_Across_Patients: double
              Mean_WT_FPR_Across_Patients: double
              Mean_TC_FPR_Across_Patients: double
              Mean_ET_FPR_Across_Patients: double
              Mean_Dice: double
              Mean_HD95: double
              Mean_Recall: double
              Mean_FNR: double
              WT_Global_TP: int64
              WT_Global_TN: int64
              WT_Global_FP: int64
              WT_Global_FN: int64
              WT_Global_Dice: double
              WT_Global_Recall: double
              WT_Global_FNR: double
              WT_Global_FPR: double
              TC_Global_TP: int64
              TC_Global_TN: int64
              TC_Global_FP: int64
              TC_Global_FN: int64
              TC_Global_Dice: double
              TC_Global_Recall: double
              TC_Global_FNR: double
              TC_Global_FPR: double
              ET_Global_TP: int64
              ET_Global_TN: int64
              ET_Global_FP: int64
              ET_Global_FN: int64
              ET_Global_Dice: double
              ET_Global_Recall: double
              ET_Global_FNR: double
              ET_Global_FPR: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 7790
              to
              {'Patient': Value('string'), 'Inference_Seconds': Value('float64'), 'WT_Dice': Value('float64'), 'WT_Precision': Value('float64'), 'WT_Recall': Value('float64'), 'WT_FNR': Value('float64'), 'WT_FPR': Value('float64'), 'WT_TP': Value('int64'), 'WT_TN': Value('int64'), 'WT_FP': Value('int64'), 'WT_FN': Value('int64'), 'WT_HD95': Value('float64'), 'TC_Dice': Value('float64'), 'TC_Precision': Value('float64'), 'TC_Recall': Value('float64'), 'TC_FNR': Value('float64'), 'TC_FPR': Value('float64'), 'TC_TP': Value('int64'), 'TC_TN': Value('int64'), 'TC_FP': Value('int64'), 'TC_FN': Value('int64'), 'TC_HD95': Value('float64'), 'ET_Dice': Value('float64'), 'ET_Precision': Value('float64'), 'ET_Recall': Value('float64'), 'ET_FNR': Value('float64'), 'ET_FPR': Value('float64'), 'ET_TP': Value('int64'), 'ET_TN': Value('int64'), 'ET_FP': Value('int64'), 'ET_FN': Value('int64'), 'ET_HD95': Value('float64'), 'Mean_Dice': Value('float64'), 'Mean_HD95': Value('float64'), 'Mean_Recall': Value('float64'), 'Mean_FNR': 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