Datasets:

---

trackstatecapture

/

fgbudgetdata

Like 0

Follow

TrackStateCapture 1

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 ({'mandate_deviation_score', 'confidence', 'alignment', 'reason'}) and 7 missing columns ({'prob_within', 'status', 'predicted_class', 'classifier_result', 'mandate_alignment', 'flag_for_review', 'prob_outside'}).

This happened while the csv dataset builder was generating data using

hf://datasets/trackstatecapture/fgbudgetdata/LaaJ_validated_DeBERTa_classified_approved_fg_budget_2026.csv (at revision 336c72492fc46b58bbac83b126a8f31b4a17d8c4), ['hf://datasets/trackstatecapture/fgbudgetdata@336c72492fc46b58bbac83b126a8f31b4a17d8c4/DeBERTa_classified_approved_fg_budget_2026.csv', 'hf://datasets/trackstatecapture/fgbudgetdata@336c72492fc46b58bbac83b126a8f31b4a17d8c4/LaaJ_validated_DeBERTa_classified_approved_fg_budget_2026.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
              code: string
              ergp_line_item: string
              mda_code: int64
              agency: string
              amount: double
              alignment: string
              confidence: string
              reason: string
              mandate_deviation_score: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1348
              to
              {'code': Value('string'), 'mda_code': Value('int64'), 'agency': Value('string'), 'ergp_line_item': Value('string'), 'status': Value('string'), 'amount': Value('float64'), 'mandate_alignment': Value('string'), 'classifier_result': Value('string'), 'predicted_class': Value('int64'), 'prob_outside': Value('float64'), 'prob_within': Value('float64'), 'flag_for_review': 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 4 new columns ({'mandate_deviation_score', 'confidence', 'alignment', 'reason'}) and 7 missing columns ({'prob_within', 'status', 'predicted_class', 'classifier_result', 'mandate_alignment', 'flag_for_review', 'prob_outside'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/trackstatecapture/fgbudgetdata/LaaJ_validated_DeBERTa_classified_approved_fg_budget_2026.csv (at revision 336c72492fc46b58bbac83b126a8f31b4a17d8c4), ['hf://datasets/trackstatecapture/fgbudgetdata@336c72492fc46b58bbac83b126a8f31b4a17d8c4/DeBERTa_classified_approved_fg_budget_2026.csv', 'hf://datasets/trackstatecapture/fgbudgetdata@336c72492fc46b58bbac83b126a8f31b4a17d8c4/LaaJ_validated_DeBERTa_classified_approved_fg_budget_2026.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)