Datasets:

---

DIMPU1516

/

merged_csv

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 4 new columns ({'recall', 'f1-score', 'precision', 'support'}) and 38 missing columns ({'E', 'F', 'S', 'N', 'O', 'A', '9', '1', 'NOTHING', 'K', 'R', '5', 'J', 'X', '0', 'P', '8', '6', 'G', 'I', 'U', 'Z', 'B', '3', 'V', 'C', 'Y', 'L', 'W', '2', 'M', 'T', 'OTHER_THINGS', '4', 'Q', 'H', 'D', '7'}).

This happened while the csv dataset builder was generating data using

hf://datasets/DIMPU1516/merged_csv/training_runs/merged_fixed_resnet101/new_test_results/per_class.csv (at revision 85786846c312ddb47e67685ce45403f83ed5b04e), ['hf://datasets/DIMPU1516/merged_csv@85786846c312ddb47e67685ce45403f83ed5b04e/training_runs/merged_fixed_resnet101/new_test_results/confusion_matrix.csv', 'hf://datasets/DIMPU1516/merged_csv@85786846c312ddb47e67685ce45403f83ed5b04e/training_runs/merged_fixed_resnet101/new_test_results/per_class.csv', 'hf://datasets/DIMPU1516/merged_csv@85786846c312ddb47e67685ce45403f83ed5b04e/training_runs/merged_fixed_resnet101/new_test_results/predictions.csv', 'hf://datasets/DIMPU1516/merged_csv@85786846c312ddb47e67685ce45403f83ed5b04e/training_runs/merged_fixed_resnet101/test_results/confusion_matrix.csv', 'hf://datasets/DIMPU1516/merged_csv@85786846c312ddb47e67685ce45403f83ed5b04e/training_runs/merged_fixed_resnet101/test_results/per_class.csv', 'hf://datasets/DIMPU1516/merged_csv@85786846c312ddb47e67685ce45403f83ed5b04e/training_runs/merged_fixed_resnet101/test_results/predictions.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 1856, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, 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 822, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              Unnamed: 0: string
              precision: double
              recall: double
              f1-score: double
              support: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 862
              to
              {'Unnamed: 0': Value('string'), 'A': Value('int64'), 'B': Value('int64'), 'C': Value('int64'), 'D': Value('int64'), 'E': Value('int64'), 'F': Value('int64'), 'G': Value('int64'), 'H': Value('int64'), 'I': Value('int64'), 'J': Value('int64'), 'K': Value('int64'), 'L': Value('int64'), 'M': Value('int64'), 'N': Value('int64'), 'O': Value('int64'), 'P': Value('int64'), 'Q': Value('int64'), 'R': Value('int64'), 'S': Value('int64'), 'T': Value('int64'), 'U': Value('int64'), 'V': Value('int64'), 'W': Value('int64'), 'X': Value('int64'), 'Y': Value('int64'), 'Z': Value('int64'), '0': Value('int64'), '1': Value('int64'), '2': Value('int64'), '3': Value('int64'), '4': Value('int64'), '5': Value('int64'), '6': Value('int64'), '7': Value('int64'), '8': Value('int64'), '9': Value('int64'), 'NOTHING': Value('int64'), 'OTHER_THINGS': Value('int64')}
              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 1379, 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 956, 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 1702, 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 1858, 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 4 new columns ({'recall', 'f1-score', 'precision', 'support'}) and 38 missing columns ({'E', 'F', 'S', 'N', 'O', 'A', '9', '1', 'NOTHING', 'K', 'R', '5', 'J', 'X', '0', 'P', '8', '6', 'G', 'I', 'U', 'Z', 'B', '3', 'V', 'C', 'Y', 'L', 'W', '2', 'M', 'T', 'OTHER_THINGS', '4', 'Q', 'H', 'D', '7'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/DIMPU1516/merged_csv/training_runs/merged_fixed_resnet101/new_test_results/per_class.csv (at revision 85786846c312ddb47e67685ce45403f83ed5b04e), ['hf://datasets/DIMPU1516/merged_csv@85786846c312ddb47e67685ce45403f83ed5b04e/training_runs/merged_fixed_resnet101/new_test_results/confusion_matrix.csv', 'hf://datasets/DIMPU1516/merged_csv@85786846c312ddb47e67685ce45403f83ed5b04e/training_runs/merged_fixed_resnet101/new_test_results/per_class.csv', 'hf://datasets/DIMPU1516/merged_csv@85786846c312ddb47e67685ce45403f83ed5b04e/training_runs/merged_fixed_resnet101/new_test_results/predictions.csv', 'hf://datasets/DIMPU1516/merged_csv@85786846c312ddb47e67685ce45403f83ed5b04e/training_runs/merged_fixed_resnet101/test_results/confusion_matrix.csv', 'hf://datasets/DIMPU1516/merged_csv@85786846c312ddb47e67685ce45403f83ed5b04e/training_runs/merged_fixed_resnet101/test_results/per_class.csv', 'hf://datasets/DIMPU1516/merged_csv@85786846c312ddb47e67685ce45403f83ed5b04e/training_runs/merged_fixed_resnet101/test_results/predictions.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)