Datasets:

---

sarajain123

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Redrob-Dataset

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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 9 new columns ({'title', 'behavior_score', 'semantic_score', 'production_score', 'final_score_v3', 'jd_score_norm', 'production_score_norm', 'final_score', 'final_score_v2'}) and 3 missing columns ({'professional_score', 'candidate_text', 'production_evidence'}).

This happened while the csv dataset builder was generating data using

hf://datasets/sarajain123/Redrob-Dataset/final_df.csv (at revision 35afd1549276d0be088ce3901a17055cce67a092), ['hf://datasets/sarajain123/Redrob-Dataset@35afd1549276d0be088ce3901a17055cce67a092/candidate_text_df.csv', 'hf://datasets/sarajain123/Redrob-Dataset@35afd1549276d0be088ce3901a17055cce67a092/final_df.csv', 'hf://datasets/sarajain123/Redrob-Dataset@35afd1549276d0be088ce3901a17055cce67a092/sample_candidates.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
              candidate_id: string
              title: string
              production_score: int64
              production_score_norm: double
              behavior_score: double
              final_score: double
              jd_score_norm: double
              production_evidence_norm: double
              semantic_score: double
              final_score_v2: double
              professional_score_norm: double
              final_score_v3: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1849
              to
              {'candidate_id': Value('string'), 'candidate_text': Value('string'), 'production_evidence': Value('int64'), 'production_evidence_norm': Value('float64'), 'professional_score': Value('int64'), 'professional_score_norm': Value('float64')}
              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 9 new columns ({'title', 'behavior_score', 'semantic_score', 'production_score', 'final_score_v3', 'jd_score_norm', 'production_score_norm', 'final_score', 'final_score_v2'}) and 3 missing columns ({'professional_score', 'candidate_text', 'production_evidence'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/sarajain123/Redrob-Dataset/final_df.csv (at revision 35afd1549276d0be088ce3901a17055cce67a092), ['hf://datasets/sarajain123/Redrob-Dataset@35afd1549276d0be088ce3901a17055cce67a092/candidate_text_df.csv', 'hf://datasets/sarajain123/Redrob-Dataset@35afd1549276d0be088ce3901a17055cce67a092/final_df.csv', 'hf://datasets/sarajain123/Redrob-Dataset@35afd1549276d0be088ce3901a17055cce67a092/sample_candidates.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)