Datasets:

---

Dadaism6

/

UCLA01

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 7 new columns ({'recall', 'precision', 'f1', 'balanced_accuracy', 'accuracy', 'confusion_matrix', 'loss'}) and 11 missing columns ({'validation_split_ratio', 'verbose', 'use_weighted_loss', 'use_weighted_sampling', 'batch_size', 'seed', 'device', 'num_workers', 'flip', 'num_epochs', 'learning_rate'}).

This happened while the json dataset builder was generating data using

hf://datasets/Dadaism6/UCLA01/inference_output/cnn/2025-09-21/run4/test_metrics.json (at revision a8268361772df77b7405fadd3c16d2fd9aa392ed)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              loss: double
              accuracy: double
              balanced_accuracy: double
              precision: double
              recall: double
              f1: double
              confusion_matrix: list<item: list<item: int64>>
                child 0, item: list<item: int64>
                    child 0, item: int64
              to
              {'num_epochs': Value('int64'), 'batch_size': Value('int64'), 'learning_rate': Value('float64'), 'seed': Value('int64'), 'device': Value('string'), 'verbose': Value('bool'), 'flip': Value('bool'), 'num_workers': Value('int64'), 'validation_split_ratio': Value('float64'), 'use_weighted_sampling': Value('bool'), 'use_weighted_loss': 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 1456, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 7 new columns ({'recall', 'precision', 'f1', 'balanced_accuracy', 'accuracy', 'confusion_matrix', 'loss'}) and 11 missing columns ({'validation_split_ratio', 'verbose', 'use_weighted_loss', 'use_weighted_sampling', 'batch_size', 'seed', 'device', 'num_workers', 'flip', 'num_epochs', 'learning_rate'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Dadaism6/UCLA01/inference_output/cnn/2025-09-21/run4/test_metrics.json (at revision a8268361772df77b7405fadd3c16d2fd9aa392ed)
              
              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)