Datasets:

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MinhTriet

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vimednli-g1-tier3

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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 6 new columns ({'score_std>=min', 'beat_baseline_CI>0', 'passed', 'auroc_sai>=min', 'corr_max<max', 'contra_fire>min'}) and 16 missing columns ({'AUROC', 'AUROC_slice_bia', 'corr_BS-PHOBERT', 'truncate_rate', 'ci_hi', 'corr_ROUGE-L-P', 'corr_max', 'ci_lo', 'corr_len', 'corr_BLEU', 'contra_fire_rate', 'latency_per_pair', 'AUPRC', 'score_std', 'AUROC_slice_sai', 'prevalence'}).

This happened while the csv dataset builder was generating data using

hf://datasets/MinhTriet/vimednli-g1-tier3/g1t3_2026-07-21_17-19-35/eval/gate_A.csv (at revision 3990c9368356d79466a601e97e499f95b50ecc2c), ['hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/eval_table_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/eval_table_B.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/gate_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/gate_B.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/pairwise_p_win_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/pairwise_p_win_B.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/pairwise_win_sig95_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/pairwise_win_sig95_B.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/eval_table_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/eval_table_B.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/gate_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/gate_B.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/pairwise_p_win_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/pairwise_p_win_B.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/pairwise_win_sig95_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/pairwise_win_sig95_B.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 1848, 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 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
              config: string
              passed: bool
              auroc_sai>=min: bool
              beat_baseline_CI>0: bool
              corr_max<max: bool
              score_std>=min: bool
              contra_fire>min: bool
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1118
              to
              {'config': Value('string'), 'AUROC': Value('float64'), 'ci_lo': Value('float64'), 'ci_hi': Value('float64'), 'AUPRC': Value('float64'), 'prevalence': Value('float64'), 'AUROC_slice_bia': Value('float64'), 'AUROC_slice_sai': Value('float64'), 'score_std': Value('float64'), 'corr_len': Value('float64'), 'corr_ROUGE-L-P': Value('float64'), 'corr_BLEU': Value('float64'), 'corr_BS-PHOBERT': Value('float64'), 'corr_max': Value('float64'), 'contra_fire_rate': Value('float64'), 'truncate_rate': Value('float64'), 'latency_per_pair': 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 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 1850, 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 6 new columns ({'score_std>=min', 'beat_baseline_CI>0', 'passed', 'auroc_sai>=min', 'corr_max<max', 'contra_fire>min'}) and 16 missing columns ({'AUROC', 'AUROC_slice_bia', 'corr_BS-PHOBERT', 'truncate_rate', 'ci_hi', 'corr_ROUGE-L-P', 'corr_max', 'ci_lo', 'corr_len', 'corr_BLEU', 'contra_fire_rate', 'latency_per_pair', 'AUPRC', 'score_std', 'AUROC_slice_sai', 'prevalence'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/MinhTriet/vimednli-g1-tier3/g1t3_2026-07-21_17-19-35/eval/gate_A.csv (at revision 3990c9368356d79466a601e97e499f95b50ecc2c), ['hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/eval_table_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/eval_table_B.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/gate_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/gate_B.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/pairwise_p_win_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/pairwise_p_win_B.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/pairwise_win_sig95_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/g1t3_2026-07-21_17-19-35/eval/pairwise_win_sig95_B.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/eval_table_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/eval_table_B.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/gate_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/gate_B.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/pairwise_p_win_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/pairwise_p_win_B.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/pairwise_win_sig95_A.csv', 'hf://datasets/MinhTriet/vimednli-g1-tier3@3990c9368356d79466a601e97e499f95b50ecc2c/macronli_2026-07-23_07-16-23/eval/pairwise_win_sig95_B.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)